Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans

Blood concentrations of lipoproteins and lipids are heritable 1 risk factors for cardiovascular disease 2 , 3 . Using genome-wide association data from three studies ( n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 indiv...

Full description

Saved in:
Bibliographic Details
Published inNature genetics Vol. 40; no. 2; pp. 189 - 197
Main Authors Kathiresan, Sekar, Melander, Olle, Guiducci, Candace, Surti, Aarti, Burtt, Noël P, Rieder, Mark J, Cooper, Gregory M, Roos, Charlotta, Voight, Benjamin F, Havulinna, Aki S, Wahlstrand, Björn, Hedner, Thomas, Corella, Dolores, Tai, E Shyong, Ordovas, Jose M, Berglund, Göran, Vartiainen, Erkki, Jousilahti, Pekka, Hedblad, Bo, Taskinen, Marja-Riitta, Newton-Cheh, Christopher, Salomaa, Veikko, Peltonen, Leena, Groop, Leif, Altshuler, David M, Orho-Melander, Marju
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.02.2008
Nature Publishing Group
Subjects
DNA
HDL
LDL
RNA
Online AccessGet full text
ISSN1061-4036
1546-1718
1546-1718
DOI10.1038/ng.75

Cover

Loading…
Abstract Blood concentrations of lipoproteins and lipids are heritable 1 risk factors for cardiovascular disease 2 , 3 . Using genome-wide association data from three studies ( n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue 4 ) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new ( P < 5 × 10 −8 for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2 , PSRC1 and SORT1 and 19p13 near CILP2 and PBX4 ), one with HDL cholesterol (1q42 in GALNT2 ) and five with triglycerides (7q11 near TBL2 and MLXIPL , 8q24 near TRIB1 , 1q42 in GALNT2 , 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3 ). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2 , PSRC1 , and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease 5 . Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
AbstractList Blood concentrations of lipoproteins and lipids are heritable 1 risk factors for cardiovascular disease 2 , 3 . Using genome-wide association data from three studies ( n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue 4 ) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new ( P < 5 × 10 −8 for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4 ), one with HDL cholesterol (1q42 in GALNT2 ) and five with triglycerides (7q11 near TBL2 and MLXIPL , 8q24 near TRIB1 , 1q42 in GALNT2 , 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3 ). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1 , and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease 5 . Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable super(1) risk factors for cardiovascular disease super(3). Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue super(4)) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 [math] 10 super(-8) for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease super(5). Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 x 10(-8) for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease. Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 x 10(-8) for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease. Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 x 10(-8) for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease. Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 10 super(-8) for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease. Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable 1 risk factors for cardiovascular disease 2 , 3 . Using genome-wide association data from three studies ( n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue 4 ) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new ( P < 5 × 10 −8 for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2 , PSRC1 and SORT1 and 19p13 near CILP2 and PBX4 ), one with HDL cholesterol (1q42 in GALNT2 ) and five with triglycerides (7q11 near TBL2 and MLXIPL , 8q24 near TRIB1 , 1q42 in GALNT2 , 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3 ). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2 , PSRC1 , and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease 5 . Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care.
Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n = 8,816 that included 2,758 individuals from the Diabetes Genetics Initiative specific to the current paper as well as 1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables reported in a companion paper in this issue) and targeted replication association analyses in up to 18,554 independent participants, we show that common SNPs at 18 loci are reproducibly associated with concentrations of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and/or triglycerides. Six of these loci are new (P < 5 × 10 -8 for each new locus). Of the six newly identified chromosomal regions, two were associated with LDL cholesterol (1p13 near CELSR2, PSRC1 and SORT1 and 19p13 near CILP2 and PBX4), one with HDL cholesterol (1q42 in GALNT2) and five with triglycerides (7q11 near TBL2 and MLXIPL, 8q24 near TRIB1, 1q42 in GALNT2, 19p13 near CILP2 and PBX4 and 1p31 near ANGPTL3). At 1p13, the LDL-associated SNP was also strongly correlated with CELSR2, PSRC1, and SORT1 transcript levels in human liver, and a proxy for this SNP was recently shown to affect risk for coronary artery disease. Understanding the molecular, cellular and clinical consequences of the newly identified loci may inform therapy and clinical care. [PUBLICATION ABSTRACT]
Audience Academic
Author Hedner, Thomas
Hedblad, Bo
Jousilahti, Pekka
Orho-Melander, Marju
Ordovas, Jose M
Berglund, Göran
Voight, Benjamin F
Taskinen, Marja-Riitta
Corella, Dolores
Newton-Cheh, Christopher
Cooper, Gregory M
Salomaa, Veikko
Melander, Olle
Guiducci, Candace
Roos, Charlotta
Groop, Leif
Altshuler, David M
Surti, Aarti
Burtt, Noël P
Havulinna, Aki S
Kathiresan, Sekar
Vartiainen, Erkki
Wahlstrand, Björn
Tai, E Shyong
Peltonen, Leena
Rieder, Mark J
AuthorAffiliation 2 Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
9 National Public Health Institute Helsinki 00300, Finland
10 Department of Clinical Pharmacology, Sahlgrenska University Hospital, Göteborg 41345, Sweden
14 Department of Internal Medicine, University Hospital Malmö, Lund University, Malmö 20502, Sweden
4 Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö 20502, Sweden
1 Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
5 Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
16 Department of Medicine, University of Helsinki, Helsinki 00029, Finland
3 Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
19 Department of Medicine, Helsinki University Hospital, Helsinki 00029, Finland
7 Center for Human Genetic Res
AuthorAffiliation_xml – name: 6 Department of Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmö, Lund University, Malmö 20502, Sweden
– name: 8 Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
– name: 13 Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, USA
– name: 15 Department of Epidemiological Research, University Hospital Malmö, Lund University, Malmö 20502, Sweden
– name: 10 Department of Clinical Pharmacology, Sahlgrenska University Hospital, Göteborg 41345, Sweden
– name: 11 Department of Preventive Medicine, School of Medicine, University of Valencia and CIBER Fisiopatología de la Obesidad y Nutrition, ISC III, Valencia 46010, Spain
– name: 1 Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
– name: 5 Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
– name: 7 Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
– name: 14 Department of Internal Medicine, University Hospital Malmö, Lund University, Malmö 20502, Sweden
– name: 12 Department of Endocrinology, Singapore General Hospital, 169608 Singapore
– name: 4 Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University, Malmö 20502, Sweden
– name: 17 Department of Medical Genetics, University of Helsinki, Helsinki 00029, Finland
– name: 9 National Public Health Institute Helsinki 00300, Finland
– name: 19 Department of Medicine, Helsinki University Hospital, Helsinki 00029, Finland
– name: 2 Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
– name: 18 Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
– name: 3 Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
– name: 16 Department of Medicine, University of Helsinki, Helsinki 00029, Finland
– name: 20 Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
Author_xml – sequence: 1
  givenname: Sekar
  surname: Kathiresan
  fullname: Kathiresan, Sekar
  email: skathiresan@partners.org
  organization: Cardiology Division, Massachusetts General Hospital, Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Department of Medicine, Harvard Medical School
– sequence: 2
  givenname: Olle
  surname: Melander
  fullname: Melander, Olle
  organization: Department of Clinical Sciences, Hypertension and Cardiovascular Diseases, University Hospital Malmö, Lund University
– sequence: 3
  givenname: Candace
  surname: Guiducci
  fullname: Guiducci, Candace
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University
– sequence: 4
  givenname: Aarti
  surname: Surti
  fullname: Surti, Aarti
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University
– sequence: 5
  givenname: Noël P
  surname: Burtt
  fullname: Burtt, Noël P
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University
– sequence: 6
  givenname: Mark J
  surname: Rieder
  fullname: Rieder, Mark J
  organization: Department of Genome Sciences, University of Washington
– sequence: 7
  givenname: Gregory M
  surname: Cooper
  fullname: Cooper, Gregory M
  organization: Department of Genome Sciences, University of Washington
– sequence: 8
  givenname: Charlotta
  surname: Roos
  fullname: Roos, Charlotta
  organization: Department of Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmö, Lund University
– sequence: 9
  givenname: Benjamin F
  surname: Voight
  fullname: Voight, Benjamin F
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Center for Human Genetic Research, Massachusetts General Hospital, Department of Molecular Biology, Massachusetts General Hospital
– sequence: 10
  givenname: Aki S
  surname: Havulinna
  fullname: Havulinna, Aki S
  organization: National Public Health Institute
– sequence: 11
  givenname: Björn
  surname: Wahlstrand
  fullname: Wahlstrand, Björn
  organization: Department of Clinical Pharmacology, Sahlgrenska University Hospital
– sequence: 12
  givenname: Thomas
  surname: Hedner
  fullname: Hedner, Thomas
  organization: Department of Clinical Pharmacology, Sahlgrenska University Hospital
– sequence: 13
  givenname: Dolores
  surname: Corella
  fullname: Corella, Dolores
  organization: Department of Preventive Medicine, School of Medicine, University of Valencia and CIBER Fisiopatología de la Obesidad y Nutrition
– sequence: 14
  givenname: E Shyong
  surname: Tai
  fullname: Tai, E Shyong
  organization: Department of Endocrinology, Singapore General Hospital
– sequence: 15
  givenname: Jose M
  surname: Ordovas
  fullname: Ordovas, Jose M
  organization: Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Nutrition and Genomics Laboratory
– sequence: 16
  givenname: Göran
  surname: Berglund
  fullname: Berglund, Göran
  organization: Department of Internal Medicine, University Hospital Malmö, Lund University
– sequence: 17
  givenname: Erkki
  surname: Vartiainen
  fullname: Vartiainen, Erkki
  organization: National Public Health Institute
– sequence: 18
  givenname: Pekka
  surname: Jousilahti
  fullname: Jousilahti, Pekka
  organization: National Public Health Institute
– sequence: 19
  givenname: Bo
  surname: Hedblad
  fullname: Hedblad, Bo
  organization: Department of Epidemiological Research, University Hospital Malmö, Lund University
– sequence: 20
  givenname: Marja-Riitta
  surname: Taskinen
  fullname: Taskinen, Marja-Riitta
  organization: Department of Medicine, University of Helsinki
– sequence: 21
  givenname: Christopher
  surname: Newton-Cheh
  fullname: Newton-Cheh, Christopher
  organization: Cardiology Division, Massachusetts General Hospital, Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Department of Medicine, Harvard Medical School
– sequence: 22
  givenname: Veikko
  surname: Salomaa
  fullname: Salomaa, Veikko
  organization: National Public Health Institute
– sequence: 23
  givenname: Leena
  surname: Peltonen
  fullname: Peltonen, Leena
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, National Public Health Institute, Department of Medical Genetics, University of Helsinki, Wellcome Trust Sanger Institute
– sequence: 24
  givenname: Leif
  surname: Groop
  fullname: Groop, Leif
  organization: Department of Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmö, Lund University, Department of Medicine, Helsinki University Hospital
– sequence: 25
  givenname: David M
  surname: Altshuler
  fullname: Altshuler, David M
  organization: Program in Medical and Population Genetics, Broad Institute of the Massachusetts Institute of Technology and Harvard University, Department of Medicine, Harvard Medical School, Center for Human Genetic Research, Massachusetts General Hospital, Department of Molecular Biology, Massachusetts General Hospital, Department of Genetics, Harvard Medical School
– sequence: 26
  givenname: Marju
  surname: Orho-Melander
  fullname: Orho-Melander, Marju
  email: marju.orho-melander@med.lu.se
  organization: Department of Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmö, Lund University
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20066033$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/18193044$$D View this record in MEDLINE/PubMed
https://gup.ub.gu.se/publication/70014$$DView record from Swedish Publication Index
https://lup.lub.lu.se/record/1143930$$DView record from Swedish Publication Index
oai:portal.research.lu.se:publications/9a463ad0-cb87-4718-a0e8-320856369f69$$DView record from Swedish Publication Index
BookMark eNqNlOtu1DAQhSNURC_0FVAEAoToLnYujvMHqaq4VFqpEgX-Wo4zSVx57cVO2O4T8NrMXtiyFaVVFDnyfD6j42PnMNqzzkIUHVMypiTl72w7LvJH0QHNMzaiBeV7-E0YHWUkZfvRYQhXhNAsI_xJtE85LVOSZQfRr0t9HVuYx8YpHcsQcJA91PFc911cGedqLM1HNdig-0Vs9MzNvOtB21h1zkDowTtzEne67e6jYufj3uvWLBR4XUOIsd4NU2nD0-hxI02A4814FH37-OHr2efR5OLT-dnpZKR4lvYjlvO6UllWNRRYTuoCat4oQusaKJNpsbTY8KosEGyaFcKVUk0hG0igKtKjSK51wxxmQyVmXk-lXwgntZg530sjPASQXnXCDCKAQMpoJXvtbBClzFgqayJUxQuR4TYLSYCLNCE8ZykrG1Zij8mdPcwww7faaD9Q7uROuRblcKpdqa3cI_5-jSM7hVqB7T262jG6U7G6E637KRLGk6xMUeD1RsC7HwNGJ6Y6KDBGWnBDEEVeprRgnCL56v8kQcGM5_eCCckpyi7jeX4LvHKDt3giRJIkjBWcLtVerKFWGhDaNg59qKWiOKUcXSQpJ0iN_0HhU8NUK7w8jcb5nQVvdhYg08N138ohBHF--eXh7MX3XfbZ34Fsk_hzCRF4uQFkUNI0Xlqlw5ZLCGGMpMtg3q455V0IHhqhdL86mOhMG0GJWP4KhG0xoxvVLb1tfIvbZBOwblvwN1u-C_4GzINrLw
CODEN NGENEC
CitedBy_id crossref_primary_10_1111_brv_12561
crossref_primary_10_1371_journal_pone_0105074
crossref_primary_10_1016_j_molmet_2018_10_006
crossref_primary_10_1097_MOL_0b013e328336eae9
crossref_primary_10_1016_j_gde_2018_01_003
crossref_primary_10_1038_nrn2516
crossref_primary_10_1038_ng_269
crossref_primary_10_3390_ijms232012485
crossref_primary_10_1111_jnc_12955
crossref_primary_10_1371_journal_pone_0055716
crossref_primary_10_1093_hmg_ddq510
crossref_primary_10_1371_journal_pgen_1004678
crossref_primary_10_1371_journal_pone_0029427
crossref_primary_10_1016_j_numecd_2021_01_018
crossref_primary_10_1038_nrcardio_2017_115
crossref_primary_10_1007_s12265_010_9188_4
crossref_primary_10_1097_MOL_0b013e3283390e49
crossref_primary_10_1002_adbi_202200319
crossref_primary_10_1074_jbc_M807899200
crossref_primary_10_1016_j_jacc_2021_04_001
crossref_primary_10_1161_CIRCGEN_117_001992
crossref_primary_10_1186_1476_511X_11_141
crossref_primary_10_1515_hsz_2021_0146
crossref_primary_10_1016_j_jacl_2015_06_010
crossref_primary_10_1111_j_1468_1331_2010_02957_x
crossref_primary_10_1007_s10126_022_10176_2
crossref_primary_10_1002_jgm_2962
crossref_primary_10_1093_hmg_ddn246
crossref_primary_10_1016_j_trsl_2015_10_005
crossref_primary_10_1038_nrcardio_2011_6
crossref_primary_10_1016_j_psychres_2011_12_036
crossref_primary_10_1016_j_ymgme_2016_04_007
crossref_primary_10_1074_jbc_M805971200
crossref_primary_10_1371_journal_pgen_1003338
crossref_primary_10_1093_hmg_ddn275
crossref_primary_10_1007_s11464_012_0256_8
crossref_primary_10_1194_jlr_M004325
crossref_primary_10_1371_journal_pone_0020833
crossref_primary_10_1002_jcla_23980
crossref_primary_10_1016_j_tics_2015_02_002
crossref_primary_10_1161_CIRCGEN_118_002090
crossref_primary_10_1002_ibd_21651
crossref_primary_10_3892_etm_2011_266
crossref_primary_10_1007_s10654_009_9402_3
crossref_primary_10_1093_hmg_ddq308
crossref_primary_10_1016_S1885_5857_10_70225_5
crossref_primary_10_1038_ejhg_2011_21
crossref_primary_10_1016_j_cca_2015_10_033
crossref_primary_10_1002_mgg3_2178
crossref_primary_10_1016_j_atherosclerosis_2009_06_034
crossref_primary_10_1038_s41598_019_46123_w
crossref_primary_10_1016_j_atherosclerosis_2015_12_009
crossref_primary_10_1074_jbc_M115_685982
crossref_primary_10_1111_ijcp_14733
crossref_primary_10_2147_JHC_S347946
crossref_primary_10_1097_MIB_0000000000000912
crossref_primary_10_1002_jgm_2941
crossref_primary_10_1194_jlr_M800194_JLR200
crossref_primary_10_1007_s10557_016_6644_7
crossref_primary_10_1093_hmg_ddq538
crossref_primary_10_1534_genetics_119_302091
crossref_primary_10_1194_jlr_M900145_JLR200
crossref_primary_10_1016_j_bbalip_2014_03_013
crossref_primary_10_1007_s11886_013_0396_9
crossref_primary_10_1093_hmg_ddw261
crossref_primary_10_1002_gepi_21804
crossref_primary_10_1002_ajmg_c_30261
crossref_primary_10_1016_S0140_6736_10_60545_4
crossref_primary_10_1186_1476_511X_10_156
crossref_primary_10_1371_journal_pgen_1005573
crossref_primary_10_1161_ATVBAHA_108_172288
crossref_primary_10_1161_ATVBAHA_121_317007
crossref_primary_10_1124_pr_114_009647
crossref_primary_10_2217_clp_12_92
crossref_primary_10_33549_physiolres_932341
crossref_primary_10_3390_molecules26185504
crossref_primary_10_2217_clp_14_30
crossref_primary_10_1161_HYPERTENSIONAHA_108_118414
crossref_primary_10_1194_jlr_P005199
crossref_primary_10_1111_j_1469_1809_2010_00589_x
crossref_primary_10_1002_wsbm_113
crossref_primary_10_1371_journal_pcbi_1003876
crossref_primary_10_1097_HCO_0b013e328352707d
crossref_primary_10_1142_S0219720016440054
crossref_primary_10_1161_RES_0b013e31820d7daa
crossref_primary_10_1007_s12170_013_0372_3
crossref_primary_10_1194_jlr_M039420
crossref_primary_10_1074_jbc_M111_218701
crossref_primary_10_1016_j_gene_2019_01_007
crossref_primary_10_1371_journal_pgen_1003379
crossref_primary_10_1016_j_atherosclerosis_2009_06_005
crossref_primary_10_3389_fcvm_2018_00072
crossref_primary_10_1016_j_ajhg_2008_07_002
crossref_primary_10_2337_db10_1011
crossref_primary_10_2478_abm_2023_0050
crossref_primary_10_1210_jc_2009_0814
crossref_primary_10_1186_1476_511X_9_96
crossref_primary_10_1007_s13258_014_0216_7
crossref_primary_10_1111_joim_12407
crossref_primary_10_1186_s12933_017_0568_9
crossref_primary_10_1097_MOL_0b013e328306f0b8
crossref_primary_10_1097_MOL_0b013e3283453dbe
crossref_primary_10_1016_j_atherosclerosis_2022_09_008
crossref_primary_10_1016_j_compbiolchem_2018_11_010
crossref_primary_10_3390_metabo11020093
crossref_primary_10_1161_CIRCGENETICS_110_958728
crossref_primary_10_1038_ejhg_2011_156
crossref_primary_10_1016_j_bbrc_2015_04_144
crossref_primary_10_1002_cpt_798
crossref_primary_10_3390_genes11010056
crossref_primary_10_1002_jcb_25301
crossref_primary_10_1186_1476_511X_10_160
crossref_primary_10_1172_JCI61248
crossref_primary_10_1038_s41574_022_00737_9
crossref_primary_10_1161_CIRCGENETICS_114_000534
crossref_primary_10_1016_j_tem_2008_07_010
crossref_primary_10_1016_j_repc_2013_02_006
crossref_primary_10_1016_j_ccr_2010_01_022
crossref_primary_10_1161_JAHA_113_000201
crossref_primary_10_1002_cbic_201800303
crossref_primary_10_2217_pgs_2018_0007
crossref_primary_10_3390_ijms17091469
crossref_primary_10_1371_journal_pgen_1001324
crossref_primary_10_1194_jlr_P008268
crossref_primary_10_1194_jlr_P080218
crossref_primary_10_4162_nrp_2015_9_4_379
crossref_primary_10_1172_JCI146775
crossref_primary_10_1038_nrg2481
crossref_primary_10_1016_j_atherosclerosis_2014_08_043
crossref_primary_10_1161_CIRCGENETICS_108_816751
crossref_primary_10_1186_1471_2261_12_90
crossref_primary_10_1038_ncomms5309
crossref_primary_10_2217_14622416_10_2_203
crossref_primary_10_1161_ATVBAHA_110_216333
crossref_primary_10_1155_2013_684903
crossref_primary_10_1016_j_mcna_2011_11_004
crossref_primary_10_1194_jlr_M009175
crossref_primary_10_1161_CIRCRESAHA_110_236067
crossref_primary_10_1016_j_metabol_2017_01_033
crossref_primary_10_1111_liv_15613
crossref_primary_10_1155_2013_634207
crossref_primary_10_1038_nrg2468
crossref_primary_10_1038_nrg3314
crossref_primary_10_1042_CS20120268
crossref_primary_10_1371_journal_pone_0180903
crossref_primary_10_1002_cphg_83
crossref_primary_10_1111_j_1752_8062_2012_00446_x
crossref_primary_10_5808_GI_2014_12_4_187
crossref_primary_10_1016_j_ajhg_2009_10_014
crossref_primary_10_1186_s12944_016_0183_x
crossref_primary_10_1375_twin_11_6_603
crossref_primary_10_1016_j_trsl_2011_08_001
crossref_primary_10_1002_1873_3468_12610
crossref_primary_10_1016_j_bbrc_2012_01_062
crossref_primary_10_1038_tpj_2010_86
crossref_primary_10_1097_MOL_0000000000000290
crossref_primary_10_1097_MOL_0b013e3283654e7c
crossref_primary_10_3109_07853890_2011_582511
crossref_primary_10_1371_journal_pgen_1001300
crossref_primary_10_1038_gene_2009_11
crossref_primary_10_1194_jlr_M000125
crossref_primary_10_1038_nrd2826
crossref_primary_10_3390_ijerph16173207
crossref_primary_10_1016_j_bbalip_2011_07_014
crossref_primary_10_1016_j_atherosclerosis_2009_09_068
crossref_primary_10_1038_s41573_022_00561_w
crossref_primary_10_5551_jat_33407
crossref_primary_10_1161_CIRCGENETICS_109_914267
crossref_primary_10_1021_acsabm_0c01229
crossref_primary_10_1194_jlr_R004739
crossref_primary_10_1038_ejhg_2011_4
crossref_primary_10_1371_journal_pone_0056216
crossref_primary_10_1016_j_pharmthera_2013_11_008
crossref_primary_10_1016_j_prostaglandins_2012_03_001
crossref_primary_10_1155_2018_3109251
crossref_primary_10_1038_s41467_024_45779_x
crossref_primary_10_1042_BSR20140115
crossref_primary_10_1038_s41598_020_70108_9
crossref_primary_10_1186_s40795_019_0315_6
crossref_primary_10_1074_jbc_M109_052407
crossref_primary_10_1371_journal_pgen_1000282
crossref_primary_10_1161_ATVBAHA_108_176800
crossref_primary_10_1158_1940_6207_CAPR_22_0523
crossref_primary_10_1161_ATVBAHA_123_319789
crossref_primary_10_3390_biology1010043
crossref_primary_10_1016_j_jcin_2010_12_016
crossref_primary_10_1038_s41387_018_0041_1
crossref_primary_10_1371_journal_pone_0229098
crossref_primary_10_1038_ng_628
crossref_primary_10_1016_j_jacc_2012_09_017
crossref_primary_10_1056_NEJMe2023520
crossref_primary_10_1016_j_atherosclerosis_2010_01_011
crossref_primary_10_1042_BST0390684
crossref_primary_10_1161_ATVBAHA_108_181388
crossref_primary_10_1186_1475_2840_11_133
crossref_primary_10_1111_j_1399_0004_2010_01535_x
crossref_primary_10_1161_ATVBAHA_110_203273
crossref_primary_10_2478_v10136_012_0001_3
crossref_primary_10_1002_ajmg_a_35655
crossref_primary_10_1016_j_gde_2015_06_008
crossref_primary_10_3892_ijmm_2015_2152
crossref_primary_10_1161_CIRCGENETICS_111_959619
crossref_primary_10_1097_CRD_0b013e318239b924
crossref_primary_10_1161_CIRCGENETICS_108_813675
crossref_primary_10_1161_CIRCGENETICS_112_964254
crossref_primary_10_1371_journal_pone_0014529
crossref_primary_10_1007_s10354_016_0518_2
crossref_primary_10_2337_db10_1655
crossref_primary_10_1097_MOL_0b013e328304b681
crossref_primary_10_1126_scitranslmed_3002132
crossref_primary_10_1161_ATVBAHA_111_240754
crossref_primary_10_1161_CIRCGEN_117_001946
crossref_primary_10_1002_humu_21641
crossref_primary_10_4236_health_2014_65064
crossref_primary_10_1016_j_exger_2008_11_003
crossref_primary_10_2217_pme_12_34
crossref_primary_10_1186_s13059_025_03531_8
crossref_primary_10_1073_pnas_1322264111
crossref_primary_10_1161_CIRCGENETICS_108_815605
crossref_primary_10_1038_ng_3090
crossref_primary_10_1002_jcp_29292
crossref_primary_10_3390_ijerph14060653
crossref_primary_10_1038_s41467_024_47396_0
crossref_primary_10_1007_s10528_023_10427_4
crossref_primary_10_1016_j_arteri_2015_08_002
crossref_primary_10_3945_ajcn_111_022749
crossref_primary_10_2217_17460875_3_5_531
crossref_primary_10_1007_s12170_010_0129_1
crossref_primary_10_1371_journal_pone_0092769
crossref_primary_10_1534_genetics_112_143487
crossref_primary_10_1111_bcpt_12493
crossref_primary_10_1186_s43042_023_00433_x
crossref_primary_10_1161_JAHA_122_026632
crossref_primary_10_1097_FPC_0000000000000219
crossref_primary_10_1194_jlr_M900076_JLR200
crossref_primary_10_1038_s12276_018_0066_5
crossref_primary_10_1016_j_gene_2024_148308
crossref_primary_10_1016_j_cll_2016_05_010
crossref_primary_10_2337_db10_0543
crossref_primary_10_1371_journal_pone_0215911
crossref_primary_10_1111_joim_13577
crossref_primary_10_3390_cancers13081783
crossref_primary_10_1002_cpt_951
crossref_primary_10_1080_10641955_2018_1454462
crossref_primary_10_1038_nrg2897
crossref_primary_10_1097_MOL_0b013e32832a7e09
crossref_primary_10_1016_S1575_0922_09_73512_0
crossref_primary_10_1186_s13024_022_00576_2
crossref_primary_10_1016_j_tem_2012_10_004
crossref_primary_10_1371_journal_pone_0037972
crossref_primary_10_1210_jc_2014_3677
crossref_primary_10_1161_CIRCGENETICS_115_001096
crossref_primary_10_1093_brain_awaa063
crossref_primary_10_1007_s00059_013_4048_z
crossref_primary_10_1111_j_1469_1809_2012_00705_x
crossref_primary_10_1371_journal_pgen_1008003
crossref_primary_10_1016_j_bbalip_2011_10_010
crossref_primary_10_1515_cclm_2017_1099
crossref_primary_10_1186_s12860_016_0085_9
crossref_primary_10_1161_CIRCGENETICS_108_814186
crossref_primary_10_1002_emmm_201000063
crossref_primary_10_2217_pgs_16_30
crossref_primary_10_3390_genes11111243
crossref_primary_10_1186_1750_1326_6_62
crossref_primary_10_1002_gepi_20470
crossref_primary_10_1073_pnas_0804799105
crossref_primary_10_1016_j_ejmhg_2012_08_001
crossref_primary_10_1016_j_bbamcr_2013_02_032
crossref_primary_10_1016_j_str_2015_08_017
crossref_primary_10_1074_jbc_M802721200
crossref_primary_10_1093_hmg_ddq079
crossref_primary_10_1002_wnan_1554
crossref_primary_10_1161_CIRCGENETICS_113_000301
crossref_primary_10_1111_j_1463_1326_2009_01117_x
crossref_primary_10_1038_ng_939
crossref_primary_10_1161_ATVBAHA_118_311573
crossref_primary_10_1016_j_jacl_2017_06_006
crossref_primary_10_1016_j_jacl_2022_10_013
crossref_primary_10_1161_CIRCRESAHA_119_316065
crossref_primary_10_3390_nu13103642
crossref_primary_10_1093_nargab_lqad095
crossref_primary_10_1002_gepi_21790
crossref_primary_10_1161_ATVBAHA_108_182303
crossref_primary_10_1161_CIRCGENETICS_108_776708
crossref_primary_10_1371_journal_pone_0241552
crossref_primary_10_3390_genes12050755
crossref_primary_10_1007_s13258_014_0244_3
crossref_primary_10_1159_000517304
crossref_primary_10_1002_hep4_1538
crossref_primary_10_1093_glycob_cwu089
crossref_primary_10_1097_NNR_0000000000000207
crossref_primary_10_1007_s00125_015_3801_7
crossref_primary_10_1093_ije_dyx207
crossref_primary_10_1371_journal_pone_0011690
crossref_primary_10_1016_j_numecd_2010_04_002
crossref_primary_10_1093_eurheartj_ehp399
crossref_primary_10_1146_annurev_genom_9_081307_164350
crossref_primary_10_1093_bioinformatics_btt734
crossref_primary_10_1210_me_2011_1247
crossref_primary_10_1186_s12944_020_01352_1
crossref_primary_10_1002_gepi_21775
crossref_primary_10_1371_journal_pgen_1000730
crossref_primary_10_1016_j_isci_2023_108725
crossref_primary_10_1194_jlr_M008110
crossref_primary_10_1007_s12170_010_0131_7
crossref_primary_10_1016_S2215_0366_15_00553_2
crossref_primary_10_4018_ijcmam_2012100106
crossref_primary_10_1007_s00395_017_0619_0
crossref_primary_10_1016_j_molmed_2016_02_005
crossref_primary_10_1517_14728220802600715
crossref_primary_10_1002_oby_20328
crossref_primary_10_3389_fcvm_2019_00091
crossref_primary_10_1016_j_xgen_2021_100066
crossref_primary_10_18632_oncotarget_17159
crossref_primary_10_1016_j_mgene_2017_05_007
crossref_primary_10_1074_jbc_M110_156950
crossref_primary_10_1186_s12944_019_1108_2
crossref_primary_10_1186_1471_2350_12_123
crossref_primary_10_1016_j_jacc_2008_11_050
crossref_primary_10_1186_1471_2156_12_62
crossref_primary_10_1093_ije_dyt034
crossref_primary_10_1093_molbev_msx226
crossref_primary_10_1186_gm333
crossref_primary_10_1186_s43042_019_0013_6
crossref_primary_10_1146_annurev_genom_082509_141637
crossref_primary_10_4049_jimmunol_1800733
crossref_primary_10_1093_eurheartj_ehr112
crossref_primary_10_1002_cncr_31645
crossref_primary_10_1371_journal_pone_0022555
crossref_primary_10_1038_nature09266
crossref_primary_10_1007_s11427_019_1563_3
crossref_primary_10_1016_j_gene_2013_10_032
crossref_primary_10_1155_2020_8869674
crossref_primary_10_1371_journal_pone_0096987
crossref_primary_10_1038_s41598_024_71217_5
crossref_primary_10_3390_jcdd5030039
crossref_primary_10_1146_annurev_med_60_061907_093117
crossref_primary_10_1038_s41588_021_00973_1
crossref_primary_10_1093_ndt_gfp593
crossref_primary_10_3390_jpm12030429
crossref_primary_10_1016_j_yjmcc_2021_05_017
crossref_primary_10_1161_CIRCGEN_120_003288
crossref_primary_10_1074_jbc_M114_548933
crossref_primary_10_1093_eurheartj_ehs431
crossref_primary_10_1534_genetics_108_094128
crossref_primary_10_1210_jc_2008_1345
crossref_primary_10_1586_14779072_2013_814839
crossref_primary_10_1002_clc_20870
crossref_primary_10_1093_eurheartj_ehp161
crossref_primary_10_1007_s12170_015_0464_3
crossref_primary_10_1038_ng_1073
crossref_primary_10_1371_journal_pone_0135145
crossref_primary_10_1097_MOL_0000000000000489
crossref_primary_10_18632_oncotarget_4299
crossref_primary_10_1007_s12170_009_0062_3
crossref_primary_10_1016_j_mad_2009_06_009
crossref_primary_10_1007_s11033_013_3000_x
crossref_primary_10_1371_journal_pone_0138652
crossref_primary_10_3892_mmr_2015_4081
crossref_primary_10_1194_jlr_M800471_JLR200
crossref_primary_10_1007_s12170_010_0140_6
crossref_primary_10_1186_1471_2350_13_106
crossref_primary_10_1016_j_recesp_2011_01_010
crossref_primary_10_1038_ncomms1874
crossref_primary_10_1093_bfgp_elu010
crossref_primary_10_1186_s12885_017_3722_6
crossref_primary_10_1007_s00125_008_1151_4
crossref_primary_10_1093_aje_kwp377
crossref_primary_10_3389_fgene_2024_1345541
crossref_primary_10_1016_j_clnu_2009_11_005
crossref_primary_10_1186_s12944_016_0181_z
crossref_primary_10_1093_eurheartj_ehr372
crossref_primary_10_1146_annurev_pharmtox_051421_111324
crossref_primary_10_1097_HJH_0b013e32832104c8
crossref_primary_10_1111_dom_14450
crossref_primary_10_1194_jlr_RA120000713
crossref_primary_10_1371_journal_pone_0036473
crossref_primary_10_1371_journal_pgen_1000534
crossref_primary_10_1093_hmg_ddr384
crossref_primary_10_1186_s12944_018_0659_y
crossref_primary_10_1016_j_cmet_2016_07_012
crossref_primary_10_1016_j_trsl_2010_05_003
crossref_primary_10_1007_s12253_014_9884_5
crossref_primary_10_1586_erc_11_53
crossref_primary_10_1038_ejhg_2009_157
crossref_primary_10_1111_cts_12522
crossref_primary_10_1093_aje_kwq234
crossref_primary_10_1007_s11883_012_0296_2
crossref_primary_10_1097_MOL_0000000000000482
crossref_primary_10_3390_ijms252011140
crossref_primary_10_2337_db09_1537
crossref_primary_10_1253_circj_CJ_09_0790
crossref_primary_10_1016_j_jgg_2015_02_003
crossref_primary_10_1124_pr_116_012989
crossref_primary_10_1155_2011_896360
crossref_primary_10_1371_journal_pone_0217620
crossref_primary_10_1002_prm2_12084
crossref_primary_10_1080_23808993_2019_1617632
crossref_primary_10_1074_jbc_M116_762005
crossref_primary_10_1101_gr_097600_109
crossref_primary_10_1007_s00109_009_0490_z
crossref_primary_10_1161_CIRCRESAHA_119_316447
crossref_primary_10_1194_jlr_M089789
crossref_primary_10_1093_glycob_cws086
crossref_primary_10_1093_glycob_cwv108
crossref_primary_10_1371_journal_pone_0094129
crossref_primary_10_1093_hmg_ddp159
crossref_primary_10_1371_journal_pgen_1000928
crossref_primary_10_1371_journal_pone_0070159
crossref_primary_10_1016_j_bbrc_2011_05_125
crossref_primary_10_1186_gb_2013_14_7_r71
crossref_primary_10_5551_jat_RV16001
crossref_primary_10_1097_MOL_0b013e32833851d0
crossref_primary_10_1074_jbc_M116_743955
crossref_primary_10_1371_journal_pone_0104833
crossref_primary_10_1007_s11010_008_0005_1
crossref_primary_10_1124_mol_109_054833
crossref_primary_10_1007_s00439_009_0700_3
crossref_primary_10_1097_MOL_0b013e3283369e5b
crossref_primary_10_1371_journal_pone_0019586
crossref_primary_10_3892_mmr_2014_2177
crossref_primary_10_1101_gr_112821_110
crossref_primary_10_1039_D3TB02766J
crossref_primary_10_1161_CIRCGENETICS_117_001809
crossref_primary_10_1016_j_gene_2016_07_070
crossref_primary_10_1038_s41467_022_33806_8
crossref_primary_10_1097_MOL_0000000000000605
crossref_primary_10_1186_s12944_016_0253_0
crossref_primary_10_1016_j_jacc_2012_08_1026
crossref_primary_10_1155_2020_9839612
crossref_primary_10_3349_ymj_2018_59_1_148
crossref_primary_10_1371_journal_pone_0109290
crossref_primary_10_1371_journal_pone_0159747
crossref_primary_10_1016_j_jlr_2023_100468
crossref_primary_10_1016_j_bbadis_2014_04_025
crossref_primary_10_1016_j_cca_2010_05_043
crossref_primary_10_1186_1471_2156_14_33
crossref_primary_10_1111_j_1399_0004_2009_01255_x
crossref_primary_10_1016_j_bbagen_2016_03_008
crossref_primary_10_1371_journal_pone_0134000
crossref_primary_10_1016_j_bbadis_2014_04_028
crossref_primary_10_1093_hmg_ddr587
crossref_primary_10_1017_S0007114512006058
crossref_primary_10_2217_clp_11_47
crossref_primary_10_1371_journal_pgen_1002078
crossref_primary_10_1016_j_beem_2022_101688
crossref_primary_10_1159_000496150
crossref_primary_10_1038_ejhg_2009_111
crossref_primary_10_1038_nature09270
crossref_primary_10_1212_WNL_0b013e318207afeb
crossref_primary_10_3390_ijms22041593
crossref_primary_10_1016_j_ajhg_2013_03_014
crossref_primary_10_1038_srep40988
crossref_primary_10_1097_HCO_0b013e3283459857
crossref_primary_10_1111_1753_0407_12064
crossref_primary_10_1194_jlr_M900034_JLR200
crossref_primary_10_1186_2040_2392_5_18
crossref_primary_10_1016_S1131_3587_09_71502_X
crossref_primary_10_1097_MOL_0b013e3283630cf0
crossref_primary_10_1161_CIRCGENETICS_108_829473
crossref_primary_10_1038_s41467_019_10967_7
crossref_primary_10_1186_1471_2350_11_62
crossref_primary_10_1093_ehjopen_oeaf009
crossref_primary_10_1016_j_tcm_2009_05_001
crossref_primary_10_1007_s00439_013_1332_1
crossref_primary_10_1186_s12944_015_0043_0
crossref_primary_10_1016_j_ymgme_2011_02_012
crossref_primary_10_4103_IJMR_2010_132_05_567
crossref_primary_10_1093_biostatistics_kxr025
crossref_primary_10_1016_j_atherosclerosis_2015_11_027
crossref_primary_10_1177_0333102415610874
crossref_primary_10_1097_MOL_0b013e328342a375
crossref_primary_10_1038_oby_2010_10
crossref_primary_10_1007_s00381_010_1241_8
crossref_primary_10_2527_jas_2012_5517
crossref_primary_10_1161_CIRCGENETICS_113_000173
crossref_primary_10_3892_br_2014_371
crossref_primary_10_1016_j_gene_2023_147613
crossref_primary_10_1186_1471_2350_11_55
crossref_primary_10_1038_ng_291
crossref_primary_10_1016_j_cca_2009_02_019
crossref_primary_10_5808_GI_2012_10_2_99
crossref_primary_10_1534_genetics_119_301859
crossref_primary_10_1016_j_atherosclerosis_2015_11_034
crossref_primary_10_3390_biomedicines9081037
crossref_primary_10_1111_j_1742_4658_2009_07429_x
crossref_primary_10_1038_jhh_2008_134
crossref_primary_10_1016_j_theriogenology_2022_07_012
crossref_primary_10_1194_jlr_M800456_JLR200
crossref_primary_10_1074_jbc_M112_448654
crossref_primary_10_1161_CIRCRESAHA_113_300634
crossref_primary_10_1161_CIRCGENETICS_109_906180
crossref_primary_10_1186_s13059_021_02353_8
crossref_primary_10_1161_01_cir_0000437913_98912_1d
crossref_primary_10_1155_2022_6290064
crossref_primary_10_1016_S0828_282X_08_70194_6
crossref_primary_10_1210_en_2008_1702
crossref_primary_10_1371_journal_pone_0067805
crossref_primary_10_1111_j_1751_7141_2009_00055_x
crossref_primary_10_1093_bib_bbac038
crossref_primary_10_1194_jlr_P800011_JLR200
crossref_primary_10_1111_jmp_12642
crossref_primary_10_1038_ng_2795
crossref_primary_10_1093_nar_gkn325
crossref_primary_10_1016_j_molmet_2020_100996
crossref_primary_10_1007_s00439_010_0815_6
crossref_primary_10_1093_hmg_ddp361
crossref_primary_10_1161_CIRCULATIONAHA_109_928192
crossref_primary_10_1007_s11295_014_0787_0
crossref_primary_10_1093_hmg_ddp122
crossref_primary_10_1194_jlr_P055715
crossref_primary_10_1002_bies_201100003
crossref_primary_10_1038_ng_271
crossref_primary_10_1093_hmg_ddn188
crossref_primary_10_1093_glycob_cwr182
crossref_primary_10_1016_j_pharmthera_2019_02_012
crossref_primary_10_1097_FPC_0b013e3283050107
crossref_primary_10_1097_MD_0000000000007683
crossref_primary_10_1016_j_atherosclerosis_2010_12_039
crossref_primary_10_3390_cancers16101889
crossref_primary_10_1371_journal_pone_0243919
crossref_primary_10_1590_1414_431x20176613
crossref_primary_10_1186_1476_511X_12_156
crossref_primary_10_1186_1476_511X_12_155
crossref_primary_10_1194_jlr_M054890
crossref_primary_10_1002_2211_5463_13231
crossref_primary_10_1038_nrrheum_2015_41
crossref_primary_10_1016_j_cmet_2010_08_006
crossref_primary_10_3390_nu6051993
crossref_primary_10_3389_fgene_2019_01258
crossref_primary_10_1038_jhg_2012_151
crossref_primary_10_4161_epi_25578
crossref_primary_10_1038_jhg_2011_109
crossref_primary_10_1097_MOL_0b013e328306a043
crossref_primary_10_1016_j_yjmcc_2018_01_013
crossref_primary_10_1073_pnas_1323785111
crossref_primary_10_1016_j_ajhg_2013_10_019
crossref_primary_10_3390_nu10121919
crossref_primary_10_1186_1476_511X_10_230
crossref_primary_10_1097_MOL_0b013e3283378e42
crossref_primary_10_1371_journal_pone_0063469
crossref_primary_10_1089_aid_2012_0169
crossref_primary_10_2217_pgs_10_58
crossref_primary_10_1016_j_jhep_2014_08_001
crossref_primary_10_1161_CIRCRESAHA_114_304693
crossref_primary_10_1161_CIRCGENETICS_109_913426
crossref_primary_10_1038_nrgastro_2013_182
crossref_primary_10_1371_journal_pgen_1002138
crossref_primary_10_1007_s11033_013_2865_z
crossref_primary_10_1074_jbc_M117_814202
crossref_primary_10_1016_j_ejim_2024_11_020
crossref_primary_10_1161_CIRCGENETICS_108_833392
crossref_primary_10_1007_s00439_012_1240_9
crossref_primary_10_1038_s41437_018_0136_4
crossref_primary_10_1172_jci_insight_126925
crossref_primary_10_1371_journal_pone_0167676
crossref_primary_10_2337_db08_0491
crossref_primary_10_1097_YPG_0000000000000181
crossref_primary_10_1161_CIRCGENETICS_114_000481
crossref_primary_10_1016_j_gene_2018_01_021
crossref_primary_10_1038_ng_361
crossref_primary_10_1007_s13258_011_0154_6
crossref_primary_10_1038_s41588_023_01497_6
crossref_primary_10_1016_j_dib_2016_01_048
crossref_primary_10_1161_ATVBAHA_114_304326
crossref_primary_10_1056_NEJMoa0706728
crossref_primary_10_1371_journal_pgen_1001273
crossref_primary_10_1016_j_ajhg_2010_11_002
crossref_primary_10_1056_NEJMcibr1010765
crossref_primary_10_3109_07388550903422075
crossref_primary_10_1016_j_ecl_2022_02_004
crossref_primary_10_1111_acel_13376
crossref_primary_10_1126_scitranslmed_3001557
crossref_primary_10_1016_j_beem_2011_11_004
crossref_primary_10_1194_jlr_P007476
crossref_primary_10_3109_10408363_2011_565585
crossref_primary_10_1007_s12263_014_0445_z
crossref_primary_10_3892_mmr_2014_1902
crossref_primary_10_1159_000541909
crossref_primary_10_1056_NEJMe0910792
crossref_primary_10_1161_CIRCULATIONAHA_109_865444
crossref_primary_10_1186_1476_511X_10_248
crossref_primary_10_1007_s00109_008_0387_2
crossref_primary_10_1038_nrd4051
crossref_primary_10_3390_genes14061259
crossref_primary_10_1016_j_envres_2023_115600
crossref_primary_10_1111_j_1399_0004_2008_01099_x
crossref_primary_10_1371_journal_pgen_1001094
crossref_primary_10_1007_s11883_022_00987_y
crossref_primary_10_1038_ng1108_1384a
crossref_primary_10_1016_j_gene_2018_10_032
crossref_primary_10_1194_jlr_M073684
crossref_primary_10_3389_fnut_2023_1067033
crossref_primary_10_2217_clp_15_7
crossref_primary_10_1194_jlr_P023721
crossref_primary_10_1160_TH13_02_0087
crossref_primary_10_1016_j_mgene_2017_02_005
crossref_primary_10_1017_thg_2012_63
crossref_primary_10_1038_ng_2926
crossref_primary_10_1016_j_gene_2020_145019
crossref_primary_10_1371_journal_pone_0226771
crossref_primary_10_4236_ojgen_2015_54010
crossref_primary_10_1038_s41467_019_11526_w
crossref_primary_10_1016_j_sjbs_2022_103554
crossref_primary_10_1016_j_xgen_2024_100743
crossref_primary_10_1016_j_bbadis_2014_06_007
crossref_primary_10_1517_14656560903025171
crossref_primary_10_1038_clpt_2013_202
crossref_primary_10_1161_CIRCGENETICS_111_959577
crossref_primary_10_1161_CIRCGENETICS_108_813709
crossref_primary_10_1080_17460441_2020_1791075
crossref_primary_10_1186_s12920_018_0392_4
crossref_primary_10_1371_journal_pone_0003583
crossref_primary_10_3389_fendo_2020_556610
crossref_primary_10_7555_JBR_32_20170114
crossref_primary_10_1109_TITB_2012_2205009
crossref_primary_10_1016_j_gheart_2012_12_009
crossref_primary_10_1016_j_amjcard_2011_06_050
crossref_primary_10_1007_s00125_012_2560_y
crossref_primary_10_1126_scisignal_2003825
crossref_primary_10_1016_j_celrep_2015_08_081
crossref_primary_10_1186_s12944_019_1001_z
crossref_primary_10_1007_s12263_014_0412_8
crossref_primary_10_1016_j_atherosclerosis_2016_04_011
crossref_primary_10_1016_S0300_8932_10_70152_4
crossref_primary_10_1373_clinchem_2011_170431
crossref_primary_10_1172_JCI94230
crossref_primary_10_1002_jcb_24567
crossref_primary_10_2217_pgs_10_35
crossref_primary_10_1038_ng_327
crossref_primary_10_1194_jlr_M800583_JLR200
crossref_primary_10_1038_s41588_020_0676_4
crossref_primary_10_1007_s00439_010_0819_2
crossref_primary_10_1126_sciadv_adi5903
crossref_primary_10_1007_s11883_012_0248_x
crossref_primary_10_14218_JCTH_2018_00022
crossref_primary_10_1038_nature09906
crossref_primary_10_1093_hmg_ddw151
crossref_primary_10_1373_clinchem_2011_170423
crossref_primary_10_1371_journal_pgen_1002393
crossref_primary_10_1097_MOL_0b013e32834469b3
crossref_primary_10_1111_febs_16148
crossref_primary_10_1007_s11906_013_0388_6
crossref_primary_10_33549_physiolres_933580
crossref_primary_10_1016_j_jacbts_2021_04_001
crossref_primary_10_1016_j_cell_2012_03_001
crossref_primary_10_3892_ijo_2013_1985
crossref_primary_10_1194_jlr_M028829
crossref_primary_10_1371_journal_pgen_1000365
crossref_primary_10_1016_j_tig_2009_07_007
crossref_primary_10_1155_2015_678924
crossref_primary_10_1111_cge_12859
crossref_primary_10_1038_s41598_021_90510_1
crossref_primary_10_1016_j_jacl_2012_04_079
crossref_primary_10_1007_s00109_014_1152_3
crossref_primary_10_1093_ije_dyr178
crossref_primary_10_1186_1471_2350_11_120
crossref_primary_10_1007_s00592_024_02280_7
crossref_primary_10_1016_j_ahj_2010_05_031
crossref_primary_10_1038_ng_548
crossref_primary_10_1161_CIRCGENETICS_109_848986
crossref_primary_10_3390_ijms241512343
crossref_primary_10_1371_journal_pone_0126294
crossref_primary_10_1371_journal_pone_0022070
crossref_primary_10_1371_journal_pone_0015779
crossref_primary_10_1007_s00059_017_4576_z
crossref_primary_10_1007_s10719_008_9162_4
crossref_primary_10_3390_life11030243
crossref_primary_10_1016_j_atherosclerosis_2013_05_005
crossref_primary_10_1007_s12170_009_0003_1
crossref_primary_10_1186_1476_511X_8_52
crossref_primary_10_1038_ng_531
crossref_primary_10_1172_JCI34772
crossref_primary_10_1161_CIRCRESAHA_123_323284
crossref_primary_10_1002_gepi_22114
crossref_primary_10_1038_s41598_017_05768_1
crossref_primary_10_1371_journal_pone_0143607
crossref_primary_10_1016_j_ymgme_2012_07_012
crossref_primary_10_1194_jlr_M011130
crossref_primary_10_1152_physiolgenomics_00053_2017
crossref_primary_10_1016_j_pcad_2012_04_006
crossref_primary_10_1002_sim_6976
crossref_primary_10_1161_CIRCGENETICS_108_773168
crossref_primary_10_1158_1055_9965_EPI_17_1177
crossref_primary_10_3390_ijms231911457
crossref_primary_10_1172_JCI63563
crossref_primary_10_1097_BOR_0b013e32832a2e2d
crossref_primary_10_1038_nrg2344
crossref_primary_10_1161_CIRCGENETICS_108_815530
crossref_primary_10_1097_MOL_0000000000000175
crossref_primary_10_1371_journal_pone_0134923
crossref_primary_10_1097_HCO_0b013e32832c1284
crossref_primary_10_1038_nrg_2016_160
crossref_primary_10_1038_ejhg_2014_268
crossref_primary_10_1186_1471_2350_12_131
crossref_primary_10_2165_11532820_000000000_00000
crossref_primary_10_1056_NEJMoa0707402
crossref_primary_10_1371_journal_pgen_1000338
crossref_primary_10_1093_nar_gkac413
crossref_primary_10_1097_MOL_0000000000000155
crossref_primary_10_1161_CIRCGENETICS_108_813337
crossref_primary_10_1038_jhg_2015_170
crossref_primary_10_1016_j_kjms_2016_10_011
crossref_primary_10_2337_db10_1317
crossref_primary_10_3390_biomedicines9101475
crossref_primary_10_1016_j_cmet_2010_09_001
crossref_primary_10_1038_ng_2901
crossref_primary_10_1126_scisignal_aau0597
crossref_primary_10_1007_s11886_017_0940_0
crossref_primary_10_1007_s13668_012_0017_z
crossref_primary_10_1038_ng_751
crossref_primary_10_1007_s00439_012_1186_y
crossref_primary_10_1038_ng_752
crossref_primary_10_1016_j_tcb_2010_11_004
crossref_primary_10_1016_j_bpg_2014_04_002
crossref_primary_10_1016_j_atherosclerosis_2017_11_033
crossref_primary_10_1161_ATVBAHA_113_301397
crossref_primary_10_3389_fcvm_2021_628235
crossref_primary_10_1186_s12863_018_0640_9
crossref_primary_10_1016_S2213_2600_14_70002_5
crossref_primary_10_1016_j_mce_2012_05_003
crossref_primary_10_1007_s40291_019_00423_z
crossref_primary_10_5551_jat_31393
crossref_primary_10_1038_ng_507
crossref_primary_10_1016_j_jacl_2019_05_006
crossref_primary_10_1161_ATVBAHA_111_224139
crossref_primary_10_1194_jlr_P001792
crossref_primary_10_1074_jbc_M114_599563
crossref_primary_10_3390_ijerph121215036
crossref_primary_10_1371_journal_pone_0064191
crossref_primary_10_1534_genetics_110_120907
crossref_primary_10_1371_journal_pone_0021188
crossref_primary_10_1038_nrg2321
crossref_primary_10_1007_s12041_017_0864_x
crossref_primary_10_1182_blood_2008_01_134247
crossref_primary_10_1186_1755_8794_6_9
crossref_primary_10_18632_aging_204665
crossref_primary_10_1172_jci_insight_96703
crossref_primary_10_1017_S0007114512002231
crossref_primary_10_1042_BST20150094
crossref_primary_10_1097_CRD_0000000000000008
crossref_primary_10_1530_EJE_08_0900
crossref_primary_10_1042_BST20150095
crossref_primary_10_1186_1471_2350_10_111
crossref_primary_10_3233_JAD_160319
crossref_primary_10_1097_WNR_0b013e3283619f43
crossref_primary_10_14712_23362936_2015_48
crossref_primary_10_1371_journal_pone_0211661
crossref_primary_10_1016_j_jacc_2014_03_050
crossref_primary_10_1371_journal_pgen_1002322
crossref_primary_10_3390_ijms11124991
crossref_primary_10_1161_CIRCGEN_120_003232
crossref_primary_10_1038_nri2361
crossref_primary_10_1371_journal_pone_0049818
crossref_primary_10_1016_j_bbagen_2012_09_014
crossref_primary_10_1007_s11306_020_01709_8
crossref_primary_10_1371_journal_pone_0146081
crossref_primary_10_1194_jlr_P042077
crossref_primary_10_1016_S0300_8932_10_70243_8
crossref_primary_10_1093_glycob_cwy015
crossref_primary_10_1097_MD_0000000000015846
crossref_primary_10_3390_biomedicines10020259
crossref_primary_10_1194_jlr_P001578
crossref_primary_10_1016_j_ejphar_2018_08_006
crossref_primary_10_1007_s11745_015_4096_7
crossref_primary_10_3389_fendo_2021_777075
crossref_primary_10_1097_BOR_0000000000000637
crossref_primary_10_3892_etm_2021_10817
crossref_primary_10_2337_dci15_0029
crossref_primary_10_3389_fcvm_2021_652584
crossref_primary_10_3390_genes13071201
crossref_primary_10_1007_s11745_012_3740_8
crossref_primary_10_1080_21678707_2016_1189824
crossref_primary_10_1016_j_cca_2011_05_035
crossref_primary_10_1172_jci_insight_153740
crossref_primary_10_1093_hmg_ddr296
crossref_primary_10_1017_S0007114524001594
crossref_primary_10_18632_aging_103361
crossref_primary_10_1371_journal_pone_0082420
crossref_primary_10_1016_j_molmet_2021_101412
crossref_primary_10_1038_nrg_2017_101
crossref_primary_10_1194_jlr_M043265
crossref_primary_10_1002_eji_201646768
crossref_primary_10_1161_ATVBAHA_113_301236
crossref_primary_10_1016_j_ajhg_2015_10_016
crossref_primary_10_1056_NEJMp0804318
crossref_primary_10_1016_j_tcm_2009_12_003
crossref_primary_10_1194_jlr_P900008_JLR200
crossref_primary_10_1111_cge_14073
crossref_primary_10_1194_jlr_P086710
crossref_primary_10_3390_molecules27020434
crossref_primary_10_1038_nature08494
crossref_primary_10_1017_S0007114511003783
crossref_primary_10_1210_jc_2010_2227
crossref_primary_10_1210_me_2015_1290
crossref_primary_10_1016_j_beem_2022_101702
crossref_primary_10_1038_s41598_020_73388_3
crossref_primary_10_1016_j_atherosclerosis_2009_03_038
crossref_primary_10_1074_jbc_R112_418558
crossref_primary_10_1007_s00439_008_0577_6
crossref_primary_10_1161_CIRCRESAHA_115_306464
crossref_primary_10_1039_C5MB00158G
crossref_primary_10_1161_JAHA_115_001951
crossref_primary_10_1007_s13668_014_0079_1
crossref_primary_10_1534_genetics_116_192377
crossref_primary_10_1016_j_bbcan_2020_188429
crossref_primary_10_1007_BF03256293
crossref_primary_10_1093_bioinformatics_btq340
crossref_primary_10_3389_fcvm_2024_1463844
crossref_primary_10_3389_fcvm_2021_685970
crossref_primary_10_1016_j_mgene_2014_07_006
crossref_primary_10_1172_JCI153357
crossref_primary_10_1007_s12031_009_9301_9
crossref_primary_10_1016_S0140_6736_08_60213_5
crossref_primary_10_1038_s41591_022_01835_x
crossref_primary_10_3390_ijms23020929
crossref_primary_10_1172_JCI76002
crossref_primary_10_1016_j_cca_2010_11_038
crossref_primary_10_1016_j_jlr_2022_100209
crossref_primary_10_1161_CIRCGENETICS_109_874412
crossref_primary_10_1038_nature08454
crossref_primary_10_1038_451516a
crossref_primary_10_1038_tpj_2016_3
crossref_primary_10_1007_s00122_013_2064_2
crossref_primary_10_3892_ijmm_2018_3943
crossref_primary_10_1016_j_jacc_2014_09_042
crossref_primary_10_1002_jcp_29818
crossref_primary_10_1146_annurev_genom_9_081307_164242
crossref_primary_10_3389_fneur_2017_00501
crossref_primary_10_1194_jlr_M001842
crossref_primary_10_1016_j_neurol_2019_04_010
crossref_primary_10_1007_s12263_012_0313_7
crossref_primary_10_1016_j_bbadis_2017_08_012
crossref_primary_10_1186_s12872_018_0743_2
crossref_primary_10_1111_1753_0407_12774
crossref_primary_10_2337_db11_1799
crossref_primary_10_1016_j_copbio_2012_10_003
crossref_primary_10_3892_etm_2017_4551
crossref_primary_10_1371_journal_pgen_1007079
crossref_primary_10_1161_CIRCULATIONAHA_113_005350
crossref_primary_10_1097_MOL_0b013e328350fad2
crossref_primary_10_1016_j_neurobiolaging_2013_08_002
crossref_primary_10_1161_ATVBAHA_109_188474
crossref_primary_10_1373_clinchem_2008_105395
crossref_primary_10_1038_jhh_2012_23
crossref_primary_10_1172_JCI37176
crossref_primary_10_1161_CIRCRESAHA_115_306036
crossref_primary_10_15829_1560_4071_2022_4903
crossref_primary_10_3109_10408363_2011_646942
crossref_primary_10_1186_1753_6561_3_S7_S46
crossref_primary_10_1186_s12944_015_0111_5
crossref_primary_10_1186_1753_6561_3_S7_S44
crossref_primary_10_1074_jbc_M115_641225
crossref_primary_10_1093_glycob_cww134
crossref_primary_10_1016_j_atherosclerosis_2009_02_040
crossref_primary_10_1093_eurheartj_ehr225
crossref_primary_10_1161_HCG_0000000000000046
crossref_primary_10_1111_j_1469_1809_2011_00644_x
crossref_primary_10_1007_s00125_017_4475_0
crossref_primary_10_1007_s10719_012_9397_y
crossref_primary_10_1203_PDR_0b013e3182139227
crossref_primary_10_1038_ncomms7063
crossref_primary_10_1002_gepi_20374
crossref_primary_10_1002_gepi_20377
crossref_primary_10_3390_genes13091553
crossref_primary_10_1016_j_ymgme_2014_04_007
crossref_primary_10_1016_j_exger_2012_05_017
crossref_primary_10_1042_BSR20182213
crossref_primary_10_1080_23808993_2020_1746640
crossref_primary_10_1172_JCI44213
crossref_primary_10_3892_mmr_2014_2007
crossref_primary_10_1016_j_cmet_2013_12_006
crossref_primary_10_1371_journal_pone_0023506
crossref_primary_10_1007_s11886_013_0368_0
crossref_primary_10_1007_s12020_015_0838_9
crossref_primary_10_1016_j_jacl_2015_09_002
crossref_primary_10_3390_nu14132713
crossref_primary_10_1186_1753_6561_8_S1_S36
crossref_primary_10_1038_ejhg_2015_150
crossref_primary_10_1007_s11883_009_0080_0
crossref_primary_10_1016_j_jacl_2019_02_005
crossref_primary_10_1016_j_bcmd_2019_102376
crossref_primary_10_1097_MOL_0000000000000598
crossref_primary_10_3390_ijms231911889
crossref_primary_10_1097_MOL_0000000000000110
crossref_primary_10_1016_j_cca_2016_06_013
crossref_primary_10_1371_journal_pone_0172880
crossref_primary_10_1111_j_1469_1809_2012_00737_x
crossref_primary_10_1016_j_jacc_2015_02_020
crossref_primary_10_1007_s11427_023_2522_8
crossref_primary_10_1016_j_atherosclerosis_2008_09_007
crossref_primary_10_1038_nbt_2151
crossref_primary_10_1507_endocrj_EJ14_0052
crossref_primary_10_1007_s12170_009_0063_2
crossref_primary_10_1097_MOL_0000000000000741
crossref_primary_10_1139_bcb_2018_0230
crossref_primary_10_15252_embr_201744810
crossref_primary_10_1097_MOL_0000000000000748
crossref_primary_10_1007_s13258_011_0197_8
crossref_primary_10_1161_ATVBAHA_112_301112
crossref_primary_10_1038_mp_2015_28
crossref_primary_10_1146_annurev_genom_091212_153520
crossref_primary_10_1097_MCO_0b013e3283034990
crossref_primary_10_1007_s11596_011_0472_6
crossref_primary_10_1371_journal_pone_0097510
crossref_primary_10_1073_pnas_1206735109
crossref_primary_10_1186_1471_2156_15_25
crossref_primary_10_1530_JOE_14_0024
crossref_primary_10_1016_j_jjcc_2014_02_012
crossref_primary_10_1016_j_medcli_2010_09_028
crossref_primary_10_1155_2023_4444708
crossref_primary_10_1038_ng_76
crossref_primary_10_1038_oby_2011_154
crossref_primary_10_1210_er_2011_1042
crossref_primary_10_1007_s00439_016_1738_7
crossref_primary_10_3892_br_2015_484
crossref_primary_10_1186_ar3755
crossref_primary_10_3390_ijms25063427
crossref_primary_10_1155_2024_8278727
crossref_primary_10_1002_mgg3_2105
crossref_primary_10_1038_s41582_024_00988_2
crossref_primary_10_1016_j_tcm_2023_01_008
crossref_primary_10_1172_JCI37118
crossref_primary_10_1002_humu_21076
crossref_primary_10_1038_nrendo_2017_119
crossref_primary_10_1089_dna_2011_1315
crossref_primary_10_1371_journal_pgen_1004147
crossref_primary_10_1371_journal_pgen_1004388
crossref_primary_10_1016_j_cjca_2012_02_004
crossref_primary_10_1016_j_jacc_2015_02_049
crossref_primary_10_1097_MOL_0000000000000966
crossref_primary_10_1016_S1474_4422_12_70259_4
crossref_primary_10_1038_460788a
crossref_primary_10_1093_ije_dyw088
crossref_primary_10_1002_hep4_1822
crossref_primary_10_1016_j_atherosclerosis_2010_08_062
crossref_primary_10_1038_nature10146
crossref_primary_10_1002_art_40350
crossref_primary_10_1097_MED_0000000000000708
crossref_primary_10_1038_clpt_2009_78
crossref_primary_10_1016_j_repce_2013_10_024
crossref_primary_10_1007_s11883_015_0496_7
crossref_primary_10_1097_MOL_0b013e3283416f2b
crossref_primary_10_1016_S1131_3587_09_71503_1
crossref_primary_10_1016_j_atherosclerosis_2010_04_004
crossref_primary_10_1016_j_atherosclerosis_2010_04_001
crossref_primary_10_1016_j_cca_2011_06_024
crossref_primary_10_1152_physiolgenomics_00038_2010
crossref_primary_10_1002_jgm_3071
crossref_primary_10_1016_j_ahj_2008_10_008
crossref_primary_10_1161_ATVBAHA_109_201020
crossref_primary_10_1161_CIRCRESAHA_116_305811
crossref_primary_10_1056_NEJMc0707445
crossref_primary_10_1016_j_atherosclerosis_2013_03_032
crossref_primary_10_1126_science_1156409
crossref_primary_10_1074_jbc_RA118_004516
crossref_primary_10_1161_CIRCGENETICS_113_000042
crossref_primary_10_1186_s12957_020_02049_6
crossref_primary_10_1139_Y08_091
crossref_primary_10_1146_annurev_biochem_060109_094246
crossref_primary_10_33549_physiolres_932069
crossref_primary_10_1093_cvr_cvy120
crossref_primary_10_2217_clp_10_63
crossref_primary_10_1016_j_cmet_2017_07_004
crossref_primary_10_1002_gepi_20556
crossref_primary_10_1371_journal_pone_0112761
crossref_primary_10_1161_CIRCRESAHA_110_219188
crossref_primary_10_1177_1120672120932829
crossref_primary_10_1038_s41440_018_0137_y
crossref_primary_10_1111_j_1749_6632_2010_05731_x
crossref_primary_10_1194_jlr_P900020_JLR200
crossref_primary_10_1097_MOL_0000000000000789
crossref_primary_10_1186_s12944_017_0488_4
crossref_primary_10_1002_path_4273
crossref_primary_10_1007_s11745_009_3314_6
crossref_primary_10_3390_ijms22147310
crossref_primary_10_1007_s12017_011_8149_7
crossref_primary_10_1161_ATVBAHA_111_232694
crossref_primary_10_1186_1471_2350_9_59
crossref_primary_10_1007_s11892_008_0033_y
crossref_primary_10_1186_1753_6561_3_S7_S117
crossref_primary_10_2217_clp_11_5
crossref_primary_10_1021_pr500659r
crossref_primary_10_1186_1753_6561_3_S7_S119
crossref_primary_10_1194_jlr_M800232_JLR200
crossref_primary_10_1016_j_nutres_2018_03_018
crossref_primary_10_1186_1757_2215_7_44
crossref_primary_10_1016_j_rec_2011_01_011
crossref_primary_10_1186_s43042_022_00366_x
crossref_primary_10_1086_710763
crossref_primary_10_1194_jlr_R009720
crossref_primary_10_1186_1471_2164_14_136
crossref_primary_10_1093_glycob_cwu104
crossref_primary_10_1016_S0140_6736_14_61183_1
crossref_primary_10_1038_s41598_019_44699_x
crossref_primary_10_1371_journal_pone_0019420
crossref_primary_10_3389_fgene_2020_597943
crossref_primary_10_1194_jlr_P063461
crossref_primary_10_1016_j_semcdb_2012_02_007
crossref_primary_10_1186_s12933_019_0805_5
crossref_primary_10_1161_CIRCRESAHA_117_312422
crossref_primary_10_18632_oncotarget_23369
crossref_primary_10_1194_jlr_M800020_JLR200
crossref_primary_10_1111_j_1469_1809_2011_00664_x
crossref_primary_10_1186_s12944_023_01993_y
crossref_primary_10_1530_JOE_12_0144
crossref_primary_10_1016_j_cmet_2011_11_005
crossref_primary_10_15252_embr_201948885
crossref_primary_10_1016_j_xgen_2022_100218
crossref_primary_10_1016_j_smim_2009_06_001
crossref_primary_10_1161_ATVBAHA_117_310292
crossref_primary_10_1161_CIRCGENETICS_113_000079
crossref_primary_10_1007_s12170_011_0200_6
crossref_primary_10_1111_jcmm_13805
crossref_primary_10_1007_s11883_015_0498_5
crossref_primary_10_1016_j_atherosclerosis_2013_02_038
crossref_primary_10_1038_ng0208_129
crossref_primary_10_1194_jlr_P030551
crossref_primary_10_1016_j_jlr_2022_100243
crossref_primary_10_1016_j_gene_2019_02_101
crossref_primary_10_2217_clp_09_64
crossref_primary_10_1371_journal_pgen_1003087
crossref_primary_10_3389_fmmed_2023_1140997
crossref_primary_10_1073_pnas_1203563109
crossref_primary_10_1172_JCI96702
crossref_primary_10_1097_MOL_0b013e32832dd4dc
crossref_primary_10_15252_embr_201540796
crossref_primary_10_1097_MOL_0b013e3283295e96
crossref_primary_10_1186_s12944_023_01905_0
crossref_primary_10_1007_s12265_024_10578_8
crossref_primary_10_1097_MOL_0b013e3283508c3b
crossref_primary_10_1093_mutage_ger066
crossref_primary_10_1038_tp_2012_20
crossref_primary_10_1016_j_tem_2016_06_005
crossref_primary_10_1210_jc_2009_0769
crossref_primary_10_1371_journal_pone_0037056
crossref_primary_10_18632_oncotarget_10042
Cites_doi 10.1056/NEJMoa072366
10.1161/01.ATV.0000219283.10832.43
10.1093/ije/29.1.49
10.1056/NEJMoa054013
10.1016/0092-8674(86)90841-X
10.1016/S0140-6736(75)91977-7
10.1086/500615
10.1016/j.cmet.2006.06.008
10.1002/gepi.1370020302
10.1038/ng.76
10.1111/j.1365-2796.1993.tb00647.x
10.1161/01.CIR.0000153341.46271.40
10.1016/j.devcel.2005.04.004
10.1086/519795
10.1210/jc.2005-0974
10.1093/hmg/ddh119
10.1073/pnas.94.9.4532
10.7326/0003-4819-55-1-33
10.1126/science.1099870
10.1038/ng1984
10.1074/jbc.274.13.8832
10.1172/JCI200420361
10.1126/science.1064852
10.1016/S0140-6736(00)02526-5
10.1016/j.atherosclerosis.2005.05.033
10.1038/ng814
ContentType Journal Article
Copyright Springer Nature America, Inc. 2008
2008 INIST-CNRS
COPYRIGHT 2008 Nature Publishing Group
Copyright Nature Publishing Group Feb 2008
ũ 2008 Nature Publishing Group 2008
Copyright_xml – notice: Springer Nature America, Inc. 2008
– notice: 2008 INIST-CNRS
– notice: COPYRIGHT 2008 Nature Publishing Group
– notice: Copyright Nature Publishing Group Feb 2008
– notice: ũ 2008 Nature Publishing Group 2008
CorporateAuthor Kardiovaskulär forskning - epidemiologi
Lunds universitet
Translational Muscle Research
Department of Clinical Sciences, Malmö
Lund University
Kardiovaskulär forskning - hypertoni
Translationell muskelforskning
Faculty of Medicine
Internmedicin - epidemiologi
Medicinska fakulteten
Cardiovascular Research - Epidemiology
Cardiovascular Research - Hypertension
Institutionen för kliniska vetenskaper, Malmö
Internal Medicine - Epidemiology
CorporateAuthor_xml – name: Faculty of Medicine
– name: Medicinska fakulteten
– name: Cardiovascular Research - Hypertension
– name: Kardiovaskulär forskning - hypertoni
– name: Kardiovaskulär forskning - epidemiologi
– name: Translationell muskelforskning
– name: Institutionen för kliniska vetenskaper, Malmö
– name: Internal Medicine - Epidemiology
– name: Lunds universitet
– name: Translational Muscle Research
– name: Lund University
– name: Internmedicin - epidemiologi
– name: Cardiovascular Research - Epidemiology
– name: Department of Clinical Sciences, Malmö
DBID AAYXX
CITATION
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
IOV
ISR
3V.
7QL
7QP
7QR
7SS
7T7
7TK
7TM
7U9
7X7
7XB
88A
88E
8AO
8C1
8FD
8FE
8FH
8FI
8FJ
8FK
8G5
ABUWG
AEUYN
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
GUQSH
H94
HCIFZ
K9.
LK8
M0S
M1P
M2O
M7N
M7P
MBDVC
P64
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
RC3
7X8
5PM
ADTPV
AOWAS
F1U
D95
DOI 10.1038/ng.75
DatabaseName CrossRef
Pascal-Francis
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Opposing Viewpoints
Gale In Context: Science
ProQuest Central (Corporate)
Bacteriology Abstracts (Microbiology B)
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Entomology Abstracts (Full archive)
Industrial and Applied Microbiology Abstracts (Microbiology A)
Neurosciences Abstracts
Nucleic Acids Abstracts
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Central (Alumni)
ProQuest One Sustainability (subscription)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
AUTh Library subscriptions: ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
Research Library Prep
AIDS and Cancer Research Abstracts
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Research Library
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biological Science Database
Research Library (Corporate)
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
SwePub
SwePub Articles
SWEPUB Göteborgs universitet
SWEPUB Lunds universitet
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Research Library Prep
ProQuest Central Student
ProQuest Central Essentials
Nucleic Acids Abstracts
SciTech Premium Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
Chemoreception Abstracts
Industrial and Applied Microbiology Abstracts (Microbiology A)
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
Entomology Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
Research Library (Alumni Edition)
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Bacteriology Abstracts (Microbiology B)
Algology Mycology and Protozoology Abstracts (Microbiology C)
AIDS and Cancer Research Abstracts
ProQuest Research Library
ProQuest Public Health
ProQuest Central Basic
ProQuest SciTech Collection
ProQuest Medical Library
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
Genetics Abstracts
MEDLINE - Academic

Genetics Abstracts


MEDLINE
Research Library Prep

Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
Biology
EISSN 1546-1718
EndPage 197
ExternalDocumentID oai_portal_research_lu_se_publications_9a463ad0_cb87_4718_a0e8_320856369f69
oai_lup_lub_lu_se_9a463ad0_cb87_4718_a0e8_320856369f69
oai_gup_ub_gu_se_70014
PMC2682493
1420138831
A186822380
18193044
20066033
10_1038_ng_75
Genre Meta-Analysis
Comparative Study
Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GeographicLocations United States
GeographicLocations_xml – name: United States
GrantInformation_xml – fundername: Wellcome Trust
  grantid: 089061
– fundername: Wellcome Trust :
  grantid: 089061 || WT
GroupedDBID ---
-DZ
-~X
.55
.GJ
0R~
123
29M
2FS
36B
39C
3O-
3V.
4.4
53G
5BI
5M7
5RE
5S5
70F
7X7
85S
88A
88E
8AO
8C1
8FE
8FH
8FI
8FJ
8G5
8R4
8R5
AAEEF
AAHBH
AARCD
AAYOK
AAYZH
AAZLF
ABAWZ
ABCQX
ABDBF
ABDPE
ABEFU
ABJNI
ABLJU
ABOCM
ABTAH
ABUWG
ACBWK
ACGFO
ACGFS
ACIWK
ACMJI
ACNCT
ACPRK
ACUHS
ADBBV
ADFRT
AENEX
AEUYN
AFBBN
AFFNX
AFKRA
AFRAH
AFSHS
AGAYW
AGCDD
AGHTU
AHBCP
AHMBA
AHOSX
AHSBF
AIBTJ
ALFFA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMTXH
ARMCB
ASPBG
AVWKF
AXYYD
AZFZN
AZQEC
B0M
BBNVY
BENPR
BHPHI
BKKNO
BPHCQ
BVXVI
CCPQU
CS3
DB5
DU5
DWQXO
EAD
EAP
EBC
EBD
EBS
EE.
EJD
EMB
EMK
EMOBN
EPL
ESX
EXGXG
F5P
FEDTE
FQGFK
FSGXE
FYUFA
GNUQQ
GUQSH
GX1
HCIFZ
HMCUK
HVGLF
HZ~
IAO
IH2
IHR
INH
INR
IOV
ISR
ITC
L7B
LGEZI
LK8
LOTEE
M0L
M1P
M2O
M7P
MVM
N9A
NADUK
NNMJJ
NXXTH
ODYON
P2P
PKN
PQQKQ
PROAC
PSQYO
Q2X
RIG
RNS
RNT
RNTTT
RVV
SHXYY
SIXXV
SJN
SNYQT
SOJ
SV3
TAOOD
TBHMF
TDRGL
TN5
TSG
TUS
UKHRP
VQA
X7M
XJT
XOL
Y6R
YHZ
ZGI
ZXP
ZY4
~8M
~KM
AAYXX
ABFSG
ACMFV
ACSTC
AETEA
AFANA
ALPWD
ATHPR
CITATION
PHGZM
PHGZT
AEZWR
AFHIU
AHWEU
AIXLP
IQODW
NFIDA
PJZUB
PPXIY
PQGLB
CGR
CUY
CVF
ECM
EIF
NPM
PMFND
AEIIB
7QL
7QP
7QR
7SS
7T7
7TK
7TM
7U9
7XB
8FD
8FK
C1K
FR3
H94
K9.
M7N
MBDVC
P64
PKEHL
PQEST
PQUKI
PRINS
Q9U
RC3
PUEGO
7X8
5PM
ADTPV
AOWAS
F1U
D95
ID FETCH-LOGICAL-c843t-658dbc44bf1e650d7ed8fc01dde16a370014f8b97658ffe650d8cccf7afe2eb73
IEDL.DBID 7X7
ISSN 1061-4036
1546-1718
IngestDate Sat Aug 30 03:21:01 EDT 2025
Thu Jul 03 05:24:55 EDT 2025
Thu Aug 21 06:41:38 EDT 2025
Thu Aug 21 18:30:26 EDT 2025
Fri Sep 05 08:51:31 EDT 2025
Fri Sep 05 13:20:01 EDT 2025
Fri Sep 05 14:56:52 EDT 2025
Sat Aug 23 14:24:46 EDT 2025
Tue Jun 17 22:19:48 EDT 2025
Tue Jun 10 21:21:09 EDT 2025
Fri Jun 27 06:11:44 EDT 2025
Fri Jun 27 06:07:50 EDT 2025
Fri May 30 11:01:08 EDT 2025
Mon Jul 21 09:17:03 EDT 2025
Tue Jul 01 01:50:07 EDT 2025
Thu Apr 24 23:08:42 EDT 2025
Fri Feb 21 02:37:41 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords Human
Lipoprotein LDL
Lipids
Lipoprotein HDL
Locus
Triglyceride
Cholesterol
Blood
Language English
License CC BY 4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c843t-658dbc44bf1e650d7ed8fc01dde16a370014f8b97658ffe650d8cccf7afe2eb73
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
AUTHOR CONTRIBUTIONS
S.K., O.M. and M.O.-M. designed the study. C.G. and A.S. performed genotyping and laboratory work. N.P.B. and M.O.-M. supervised the laboratory work. L.G., N.P.B. and D.M.A. designed and conducted the DGI genome-wide association study. M.-R.T. conducted the lipoprotein and lipid phenotype measurements in the DGI samples. G.B., B.H., and O.M. collected and phenotyped the Malmo Diet and Cancer Study sample. A.S.H., E.V., P.J., V.S. and L.P. collected and phenotyped the FINRISK97 sample. B.W., T.H. and O.M. collected and phenotyped the NORDIL sample. E.S.T., D.C. and J.M.O. conducted the replication study in the Singaporean sample. M.J.R. and G.M.C. conducted the liver expression studies. S.K., M.J.R., G.M.C., C.R., B.F.V. and M.O.-M. conducted the analyses. S.K. wrote the first draft of the paper. O.M., M.J.R., G.M.C., J.M.O., G.B., M.-R.T., C.N.-C., V.S., L.P., L.G., D.M.A. and M.O.-M. revised the manuscript for important intellectual content.
OpenAccessLink http://doi.org/10.1038/ng.75
PMID 18193044
PQID 222667815
PQPubID 23462
PageCount 9
ParticipantIDs swepub_primary_oai_portal_research_lu_se_publications_9a463ad0_cb87_4718_a0e8_320856369f69
swepub_primary_oai_lup_lub_lu_se_9a463ad0_cb87_4718_a0e8_320856369f69
swepub_primary_oai_gup_ub_gu_se_70014
pubmedcentral_primary_oai_pubmedcentral_nih_gov_2682493
proquest_miscellaneous_759317681
proquest_miscellaneous_70249485
proquest_miscellaneous_20517597
proquest_journals_222667815
gale_infotracmisc_A186822380
gale_infotracacademiconefile_A186822380
gale_incontextgauss_ISR_A186822380
gale_incontextgauss_IOV_A186822380
pubmed_primary_18193044
pascalfrancis_primary_20066033
crossref_citationtrail_10_1038_ng_75
crossref_primary_10_1038_ng_75
springer_journals_10_1038_ng_75
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2008-02-01
PublicationDateYYYYMMDD 2008-02-01
PublicationDate_xml – month: 02
  year: 2008
  text: 2008-02-01
  day: 01
PublicationDecade 2000
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: London
– name: United States
PublicationTitle Nature genetics
PublicationTitleAbbrev Nat Genet
PublicationTitleAlternate Nat Genet
PublicationYear 2008
Publisher Nature Publishing Group US
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group US
– name: Nature Publishing Group
References Hutter (CR18) 2006; 185
Kingsley, Kozarsky, Hobbie, Krieger (CR20) 1986; 44
Cohen (CR19) 2004; 305
Sing, Davignon (CR9) 1985; 37
Romeo (CR16) 2007; 39
Benn (CR8) 2005; 90
Willer, Sanna, Jackson, Scuteri, Bonnycastle, Clarke, Heath, Timpson, Najjar, Stringham, Strait, Duren, Maschio, Busonero, Mulas, Albai, Swift, Morken, Narisu, Bennett, Parish, Shen, Galan, Meneton, Hercberg, Zelenika, Chen, Li, Scott, Scheet, Sundvall, Watanabe, Nagaraja, Ebrahim, Lawlor, Ben-Shlomo, Davey-Smith, Shuldiner, Collins, Bergman, Uda, Tuomilehto, Cao, Collins, Lakatta, Lathrop, Boehnke, Schlessinger, Mohlke, Abecasis (CR4) 2008; 40
Uyeda, Repa (CR21) 2006; 4
Cohen, Boerwinkle, Mosley, Hobbs (CR26) 2006; 354
Samani (CR5) 2007; 357
Boekholdt (CR13) 2005; 111
Shi, Kandror (CR24) 2005; 9
Hansson (CR29) 2000; 356
Vartiainen (CR28) 2000; 29
Miller, Miller (CR3) 1975; 1
Kannel, Dawber, Kagan, Revotskie, Stokes (CR2) 1961; 55
Frikke-Schmidt, Nordestgaard, Jensen, Tybjaerg-Hansen (CR11) 2004; 114
Knoblauch (CR17) 2004; 13
Koishi (CR22) 2002; 30
CR6
Guerra, Wang, Grundy, Cohen (CR14) 1997; 94
Namboodiri (CR1) 1985; 2
Cutter, Tan, Chew (CR25) 2001; 79
Pennacchio (CR12) 2001; 294
Purcell (CR30) 2007; 81
Deeks, Higgins, Altman (CR7) 2007
Berglund, Elmstahl, Janzon, Larsson (CR27) 1993; 233
Rip (CR15) 2006; 26
Nielsen, Jacobsen, Olivecrona, Gliemann, Petersen (CR23) 1999; 274
Kotowski (CR10) 2006; 78
CF Sing (BFng75_CR9) 1985; 37
KK Namboodiri (BFng75_CR1) 1985; 2
S Purcell (BFng75_CR30) 2007; 81
J Cutter (BFng75_CR25) 2001; 79
NJ Samani (BFng75_CR5) 2007; 357
J Shi (BFng75_CR24) 2005; 9
MS Nielsen (BFng75_CR23) 1999; 274
E Vartiainen (BFng75_CR28) 2000; 29
JC Cohen (BFng75_CR26) 2006; 354
CM Hutter (BFng75_CR18) 2006; 185
Cristen J Willer (BFng75_CR4) 2008; 40
LA Pennacchio (BFng75_CR12) 2001; 294
J Rip (BFng75_CR15) 2006; 26
DM Kingsley (BFng75_CR20) 1986; 44
R Koishi (BFng75_CR22) 2002; 30
G Berglund (BFng75_CR27) 1993; 233
K Uyeda (BFng75_CR21) 2006; 4
SM Boekholdt (BFng75_CR13) 2005; 111
S Romeo (BFng75_CR16) 2007; 39
H Knoblauch (BFng75_CR17) 2004; 13
IK Kotowski (BFng75_CR10) 2006; 78
NE Miller (BFng75_CR3) 1975; 1
M Benn (BFng75_CR8) 2005; 90
L Hansson (BFng75_CR29) 2000; 356
R Frikke-Schmidt (BFng75_CR11) 2004; 114
JJ Deeks (BFng75_CR7) 2007
BFng75_CR6
WB Kannel (BFng75_CR2) 1961; 55
R Guerra (BFng75_CR14) 1997; 94
JC Cohen (BFng75_CR19) 2004; 305
18227868 - Nat Genet. 2008 Feb;40(2):129-30. doi: 10.1038/ng0208-129.
Nat Genet. 2008 Nov;40(11):1384
References_xml – volume: 357
  start-page: 443
  year: 2007
  end-page: 453
  ident: CR5
  article-title: Genomewide association analysis of coronary artery disease
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa072366
– volume: 26
  start-page: 1236
  year: 2006
  end-page: 1245
  ident: CR15
  article-title: Lipoprotein lipase S447X: a naturally occurring gain-of-function mutation
  publication-title: Arterioscler. Thromb. Vasc. Biol.
  doi: 10.1161/01.ATV.0000219283.10832.43
– volume: 29
  start-page: 49
  year: 2000
  end-page: 56
  ident: CR28
  article-title: Cardiovascular risk factor changes in Finland, 1972–1997
  publication-title: Int. J. Epidemiol.
  doi: 10.1093/ije/29.1.49
– volume: 354
  start-page: 1264
  year: 2006
  end-page: 1272
  ident: CR26
  article-title: Sequence variations in PCSK9, low LDL, and protection against coronary heart disease
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa054013
– volume: 44
  start-page: 749
  year: 1986
  end-page: 759
  ident: CR20
  article-title: Reversible defects in O-linked glycosylation and LDL receptor expression in a UDP-Gal/UDP-GalNAc 4-epimerase deficient mutant
  publication-title: Cell
  doi: 10.1016/0092-8674(86)90841-X
– volume: 1
  start-page: 1033
  year: 1975
  ident: CR3
  article-title: Letter: high-density lipoprotein and atherosclerosis
  publication-title: Lancet
  doi: 10.1016/S0140-6736(75)91977-7
– volume: 78
  start-page: 410
  year: 2006
  end-page: 422
  ident: CR10
  article-title: A spectrum of PCSK9 alleles contributes to plasma levels of low-density lipoprotein cholesterol
  publication-title: Am. J. Hum. Genet.
  doi: 10.1086/500615
– volume: 4
  start-page: 107
  year: 2006
  end-page: 110
  ident: CR21
  article-title: Carbohydrate response element binding protein, ChREBP, a transcription factor coupling hepatic glucose utilization and lipid synthesis
  publication-title: Cell Metab.
  doi: 10.1016/j.cmet.2006.06.008
– volume: 2
  start-page: 227
  year: 1985
  end-page: 254
  ident: CR1
  article-title: The Collaborative Lipid Research Clinics Family Study: biological and cultural determinants of familial resemblance for plasma lipids and lipoproteins
  publication-title: Genet. Epidemiol.
  doi: 10.1002/gepi.1370020302
– volume: 40
  start-page: 161
  issue: 2
  year: 2008
  end-page: 169
  ident: CR4
  article-title: Newly identified loci that influence lipid concentrations and risk of coronary artery disease
  publication-title: Nature Genetics
  doi: 10.1038/ng.76
– ident: CR6
– volume: 233
  start-page: 45
  year: 1993
  end-page: 51
  ident: CR27
  article-title: The Malmo Diet and Cancer Study. Design and feasibility
  publication-title: J. Intern. Med.
  doi: 10.1111/j.1365-2796.1993.tb00647.x
– volume: 111
  start-page: 278
  year: 2005
  end-page: 287
  ident: CR13
  article-title: Cholesteryl ester transfer protein TaqIB variant, high-density lipoprotein cholesterol levels, cardiovascular risk, and efficacy of pravastatin treatment: individual patient meta-analysis of 13,677 subjects
  publication-title: Circulation
  doi: 10.1161/01.CIR.0000153341.46271.40
– volume: 9
  start-page: 99
  year: 2005
  end-page: 108
  ident: CR24
  article-title: Sortilin is essential and sufficient for the formation of Glut4 storage vesicles in 3T3–L1 adipocytes
  publication-title: Dev. Cell
  doi: 10.1016/j.devcel.2005.04.004
– volume: 81
  start-page: 559
  year: 2007
  end-page: 575
  ident: CR30
  article-title: PLINK: a tool set for whole-genome association and population-based linkage analysis
  publication-title: Am. J. Hum. Genet.
  doi: 10.1086/519795
– volume: 90
  start-page: 5797
  year: 2005
  end-page: 5803
  ident: CR8
  article-title: Polymorphism in APOB associated with increased low-density lipoprotein levels in both genders in the general population
  publication-title: J. Clin. Endocrinol. Metab.
  doi: 10.1210/jc.2005-0974
– volume: 13
  start-page: 993
  year: 2004
  end-page: 1004
  ident: CR17
  article-title: Haplotypes and SNPs in 13 lipid-relevant genes explain most of the genetic variance in high-density lipoprotein and low-density lipoprotein cholesterol
  publication-title: Hum. Mol. Genet.
  doi: 10.1093/hmg/ddh119
– volume: 94
  start-page: 4532
  year: 1997
  end-page: 4537
  ident: CR14
  article-title: A hepatic lipase (LIPC) allele associated with high plasma concentrations of high density lipoprotein cholesterol
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.94.9.4532
– volume: 79
  start-page: 908
  year: 2001
  end-page: 915
  ident: CR25
  article-title: Levels of cardiovascular disease risk factors in Singapore following a national intervention programme
  publication-title: Bull. World Health Organ.
– start-page: 126
  year: 2007
  end-page: 128
  ident: CR7
  publication-title: Cochrane Handbook for Systematic Reviews of Interventions 4.2.6 [Updated September 2006]
– volume: 55
  start-page: 33
  year: 1961
  end-page: 50
  ident: CR2
  article-title: Factors of risk in the development of coronary heart disease—six year follow-up experience. The Framingham Study
  publication-title: Ann. Intern. Med.
  doi: 10.7326/0003-4819-55-1-33
– volume: 37
  start-page: 268
  year: 1985
  end-page: 285
  ident: CR9
  article-title: Role of the apolipoprotein E polymorphism in determining normal plasma lipid and lipoprotein variation
  publication-title: Am. J. Hum. Genet.
– volume: 305
  start-page: 869
  year: 2004
  end-page: 872
  ident: CR19
  article-title: Multiple rare alleles contribute to low plasma levels of HDL cholesterol
  publication-title: Science
  doi: 10.1126/science.1099870
– volume: 39
  start-page: 513
  year: 2007
  end-page: 516
  ident: CR16
  article-title: Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL
  publication-title: Nat. Genet.
  doi: 10.1038/ng1984
– volume: 274
  start-page: 8832
  year: 1999
  end-page: 8836
  ident: CR23
  article-title: Sortilin/neurotensin receptor-3 binds and mediates degradation of lipoprotein lipase
  publication-title: J. Biol. Chem.
  doi: 10.1074/jbc.274.13.8832
– volume: 114
  start-page: 1343
  year: 2004
  end-page: 1353
  ident: CR11
  article-title: Genetic variation in ABC transporter A1 contributes to HDL cholesterol in the general population
  publication-title: J. Clin. Invest.
  doi: 10.1172/JCI200420361
– volume: 294
  start-page: 169
  year: 2001
  end-page: 173
  ident: CR12
  article-title: An apolipoprotein influencing triglycerides in humans and mice revealed by comparative sequencing
  publication-title: Science
  doi: 10.1126/science.1064852
– volume: 356
  start-page: 359
  year: 2000
  end-page: 365
  ident: CR29
  article-title: Randomised trial of effects of calcium antagonists compared with diuretics and beta-blockers on cardiovascular morbidity and mortality in hypertension: the Nordic Diltiazem (NORDIL) study
  publication-title: Lancet
  doi: 10.1016/S0140-6736(00)02526-5
– volume: 185
  start-page: 78
  year: 2006
  end-page: 86
  ident: CR18
  article-title: Association of endothelial lipase gene (LIPG) haplotypes with high-density lipoprotein cholesterol subfractions and apolipoprotein AI plasma levels in Japanese Americans
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2005.05.033
– volume: 30
  start-page: 151
  year: 2002
  end-page: 157
  ident: CR22
  article-title: Angptl3 regulates lipid metabolism in mice
  publication-title: Nat. Genet.
  doi: 10.1038/ng814
– volume: 29
  start-page: 49
  year: 2000
  ident: BFng75_CR28
  publication-title: Int. J. Epidemiol.
  doi: 10.1093/ije/29.1.49
– volume: 305
  start-page: 869
  year: 2004
  ident: BFng75_CR19
  publication-title: Science
  doi: 10.1126/science.1099870
– volume: 4
  start-page: 107
  year: 2006
  ident: BFng75_CR21
  publication-title: Cell Metab.
  doi: 10.1016/j.cmet.2006.06.008
– volume: 233
  start-page: 45
  year: 1993
  ident: BFng75_CR27
  publication-title: J. Intern. Med.
  doi: 10.1111/j.1365-2796.1993.tb00647.x
– volume: 78
  start-page: 410
  year: 2006
  ident: BFng75_CR10
  publication-title: Am. J. Hum. Genet.
  doi: 10.1086/500615
– volume: 357
  start-page: 443
  year: 2007
  ident: BFng75_CR5
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa072366
– volume: 26
  start-page: 1236
  year: 2006
  ident: BFng75_CR15
  publication-title: Arterioscler. Thromb. Vasc. Biol.
  doi: 10.1161/01.ATV.0000219283.10832.43
– volume: 354
  start-page: 1264
  year: 2006
  ident: BFng75_CR26
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa054013
– volume: 90
  start-page: 5797
  year: 2005
  ident: BFng75_CR8
  publication-title: J. Clin. Endocrinol. Metab.
  doi: 10.1210/jc.2005-0974
– volume: 44
  start-page: 749
  year: 1986
  ident: BFng75_CR20
  publication-title: Cell
  doi: 10.1016/0092-8674(86)90841-X
– volume: 274
  start-page: 8832
  year: 1999
  ident: BFng75_CR23
  publication-title: J. Biol. Chem.
  doi: 10.1074/jbc.274.13.8832
– volume: 39
  start-page: 513
  year: 2007
  ident: BFng75_CR16
  publication-title: Nat. Genet.
  doi: 10.1038/ng1984
– volume: 356
  start-page: 359
  year: 2000
  ident: BFng75_CR29
  publication-title: Lancet
  doi: 10.1016/S0140-6736(00)02526-5
– volume: 30
  start-page: 151
  year: 2002
  ident: BFng75_CR22
  publication-title: Nat. Genet.
  doi: 10.1038/ng814
– volume: 185
  start-page: 78
  year: 2006
  ident: BFng75_CR18
  publication-title: Atherosclerosis
  doi: 10.1016/j.atherosclerosis.2005.05.033
– volume: 94
  start-page: 4532
  year: 1997
  ident: BFng75_CR14
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.94.9.4532
– volume: 9
  start-page: 99
  year: 2005
  ident: BFng75_CR24
  publication-title: Dev. Cell
  doi: 10.1016/j.devcel.2005.04.004
– volume: 1
  start-page: 1033
  year: 1975
  ident: BFng75_CR3
  publication-title: Lancet
  doi: 10.1016/S0140-6736(75)91977-7
– volume: 55
  start-page: 33
  year: 1961
  ident: BFng75_CR2
  publication-title: Ann. Intern. Med.
  doi: 10.7326/0003-4819-55-1-33
– volume: 40
  start-page: 161
  issue: 2
  year: 2008
  ident: BFng75_CR4
  publication-title: Nature Genetics
  doi: 10.1038/ng.76
– volume: 13
  start-page: 993
  year: 2004
  ident: BFng75_CR17
  publication-title: Hum. Mol. Genet.
  doi: 10.1093/hmg/ddh119
– volume: 81
  start-page: 559
  year: 2007
  ident: BFng75_CR30
  publication-title: Am. J. Hum. Genet.
  doi: 10.1086/519795
– volume: 2
  start-page: 227
  year: 1985
  ident: BFng75_CR1
  publication-title: Genet. Epidemiol.
  doi: 10.1002/gepi.1370020302
– volume: 111
  start-page: 278
  year: 2005
  ident: BFng75_CR13
  publication-title: Circulation
  doi: 10.1161/01.CIR.0000153341.46271.40
– volume: 114
  start-page: 1343
  year: 2004
  ident: BFng75_CR11
  publication-title: J. Clin. Invest.
  doi: 10.1172/JCI200420361
– start-page: 126
  volume-title: Cochrane Handbook for Systematic Reviews of Interventions 4.2.6 [Updated September 2006]
  year: 2007
  ident: BFng75_CR7
– ident: BFng75_CR6
– volume: 37
  start-page: 268
  year: 1985
  ident: BFng75_CR9
  publication-title: Am. J. Hum. Genet.
– volume: 294
  start-page: 169
  year: 2001
  ident: BFng75_CR12
  publication-title: Science
  doi: 10.1126/science.1064852
– volume: 79
  start-page: 908
  year: 2001
  ident: BFng75_CR25
  publication-title: Bull. World Health Organ.
– reference: 18227868 - Nat Genet. 2008 Feb;40(2):129-30. doi: 10.1038/ng0208-129.
– reference: - Nat Genet. 2008 Nov;40(11):1384
SSID ssj0014408
Score 2.5138774
SecondaryResourceType review_article
Snippet Blood concentrations of lipoproteins and lipids are heritable 1 risk factors for cardiovascular disease 2 , 3 . Using genome-wide association data from three...
Blood concentrations of lipoproteins and lipids are heritable risk factors for cardiovascular disease. Using genome-wide association data from three studies (n...
Blood concentrations of lipoproteins and lipids are heritable super(1) risk factors for cardiovascular disease super(3). Using genome-wide association data...
SourceID swepub
pubmedcentral
proquest
gale
pubmed
pascalfrancis
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 189
SubjectTerms Aged
Aging
Agriculture
Alleles
Animal Genetics and Genomics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Blood
Blood lipoproteins
Cancer Research
Cardiac and Cardiovascular Systems
Cardiology and Cardiovascular Disease
Cardiovascular diseases
Case-Control Studies
Cholesterol
Cholesterol, HDL - blood
Cholesterol, HDL - genetics
Cholesterol, LDL - blood
Cholesterol, LDL - genetics
Chromosomes
Chromosomes, Human, Pair 1
Chromosomes, Human, Pair 19
Chromosomes, Human, Pair 7
Chromosomes, Human, Pair 8
Clinical Medicine
Cohort Studies
Diagnosis
DNA
Female
Fundamental and applied biological sciences. Psychology
Gene Frequency
Gene Function
Gene loci
Genetic aspects
Genetic Markers
Genetic Variation
Genetics
Genetics of eukaryotes. Biological and molecular evolution
Genome
Genome, Human
HDL
Health aspects
Human
Human Genetics
Humans
Kardiologi
Kardiologi och kardiovaskulära sjukdomar
Klinisk medicin
LDL
letter
Linkage Disequilibrium
Lipids
Lipoproteins
Liver
Liver - metabolism
Male
Medical and Health Sciences
Medicin och hälsovetenskap
Messenger
metabolism
Middle Aged
Pair 1
Pair 19
Pair 7
Pair 8
Physiological aspects
Polymorphism
Polymorphism, Single Nucleotide
Probability
Prospective Studies
Proteolipids
Randomized Controlled Trials as Topic
Risk factors
RNA
RNA, Messenger - metabolism
Sequence Analysis
Sequence Analysis, DNA
Single Nucleotide
Single nucleotide polymorphisms
Triglycerides
Triglycerides - blood
Triglycerides - genetics
Type 2 diabetes
Variation (Genetics)
Title Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans
URI https://link.springer.com/article/10.1038/ng.75
https://www.ncbi.nlm.nih.gov/pubmed/18193044
https://www.proquest.com/docview/222667815
https://www.proquest.com/docview/20517597
https://www.proquest.com/docview/70249485
https://www.proquest.com/docview/759317681
https://pubmed.ncbi.nlm.nih.gov/PMC2682493
https://gup.ub.gu.se/publication/70014
https://lup.lub.lu.se/record/1143930
oai:portal.research.lu.se:publications/9a463ad0-cb87-4718-a0e8-320856369f69
Volume 40
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1tb9MwELZgExLShHgnbHQWGuIL2ZI6L84nNKZOA4mBNoYqvliO43SVoqQsraC_gL_NneNmS2mBL5UaPzrF9uV89p2fI2RP55JJmWKQNczcIPUTN4V1382jRMXwTyc-3nf-eBqdXAQfhuHQ5ubUNq1yYRONoc4qhWfkB7CORWBY_fDt5LuLRaMwuGoraNwmm4a5DNQ5Hrb7LQxbNjfhItwmYZRyq7llzg_K0T5mFt5YiqxB3prIGgYnb6parHI7_8yebEOoS3SjZok6vk_uWd-SHjbK8IDc0uVDcqepNjl_RH6dj39S8KIprF9jKu286IziWSw1GezQ9MPNMKd9OqfFeFIZGodxSdFIGk6FqnhDkeL4XyhaXdEpjF8xV6Djma4ptJuCgPVjcnE8-HJ04to6DK7iAZu64KRkqQqCNPc1OHRZrDOeK88Hy-hHkmHkOsh5Co5NyPPcQLhSKo9lrvs6jdkTslFWpX5GaKxiP9R9lkVhBlvJJE0lmJQYlszIj0A1HLK3mBKhLEk51soohAmWMy7KkYhDh_Ra2KRh5VgGvMT5FMhwUWIKzUjO6lq8__RVHGKBAHCKuLcOdH7WAb22oLyCN1HSXluA_iBzVge500HCd6o6zb2ObrUvbsJfHmMO2V4om7CGpBat2jtkt21FyZgbV-pqBhCkWYN94XpEjLyQAQcZdB0iTMCRjLjvkKeNdl-PK_iMzAsCh8QdvW8BSFDebSnHl4aovA9dDxLo2O7iC7nu2NJ0vWo-nI7Q0Wwi4NFoJmotjJY5ZLACVwCugGeFASYyiJjMPKFSHgv0vYT0NBcMq9FGLErADDnk2wo5zYZXWJatSytvcuP4_L-EP__rPG6Tu03KEWZE7ZCN6dVMvwC_dpr2jPWCX37k98jmu8Hp57PfPJ2sEQ
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3bbtNAEF2VVAikCnHHtCQr1IoXTO34_oBQgVQJbQPqTRUvy3q9TiNZdqgTlXwBX8M_MrN23DokwEsf4z1aeTOzM7Oe2TOEbMqYW5yHmGR1It0OzUAPwe_rsRsID37JwMT7zgd9t3tifzpzzlbIr9ldGCyrnNlEZaijTOA38m3wYy4YVtN5N_quY9MoTK7OOmgUWrEnp5dwYsvf9j6CeLfa7d3O8YeuXjYV0IVvW2MdPG4UCtsOY1NCdBJ5MvJjYZiwzU2XW5iGtWM_BC_t-HGsIL4QIvZ4LNsy9CyY9xZZtfFCa4Osvu_0vxxWaQts36zSqy4ezDAvulbca_e308EbrGW85vxKF7A24jmIIy76aCwKdP-s16yStnMEp8op7t4n98polu4U6veArMj0Ibld9LecPiI_j4Y_KMTtFDzmkPJSE2RE8esvVTXzMHSpR1hFP57SZDjKFHHEMKVolhWLQ5a8pkiq_C8UzS7oGCSWTAXsqkjmFMZVC8L8MTm5ESE9IY00S-UzQj3hmY5sW5HrRHB4DcKQgxHzwEm7pgvKqJHNmUiYKGnRsTtHwlR63vJZOmCeo5FmBRsVPCDzgJcoT4acGikW7Qz4JM9Z7_Mp28GWBBCG-cYy0NFhDfSqBMUZvIng5UUJWA9yddWQGzUkWAZRG27WdKt6cZVwMyxLI-szZWOl6cpZtdE00qpGcWasxktlNgEIErvBSXQ5wkMmStuHOegyhBNA6Or6pkaeFtp99b9ClGoZtq0Rr6b3FQAp0esj6fBcUaO3Yel2AAtrzXbI1cLmxLVVbJzapIPJiMGjwYTlkikt00hnAS4BXALPEgUMuO1aPDKYCH2PYbTHuCF9ZmH_W9dyAzB8Gvm6YJ7iiM1KXq_zcr7RtQ_2_zX587_KsUXudI8P9tl-r7-3Tu4WBU9Yj7VBGuOLiXwBUfU4bJa2jJJvN20-fwNoYOoj
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwELfGEAhpQvwnbHQW2sQLoU2dxMkDQhNbtTEYiDFU8WIcx-kqRUlZWo1-Aj4T3447J82W0gIve2z80ynu_XXufEfIlk4kkzLCJKsX227khHYEft9O_FBx-KVDB-87vz_y90_ct32vv0J-ze7CYFnlzCYaQx3nCr-Rt8GP-WBYHa-dVFURH3d7r0ffbRwghYnW2TSNUkIO9fQcTm_Fq4NdYPV2t9vb-_xm364GDNgqcNnYBu8bR8p1o8TREKnEXMdBojoOqLzjS4YpWTcJIvDYXpAkBhIopRIuE93VEWdA9xq5zhkEVaBKvF-f9TBlWt7C8_GIhhnStfKGe9DOBi-xqvGSG6ycwdpIFsCYpJyosSjk_bNys07fzrU6Ne6xd4fcruJaulMK4l2yorN75EY56XJ6n_w8Hv6gEMFT8J1DKiuZ0DHF78DUVM_D0rkdYz39eErT4Sg3LSSGGUUDbfo55OkLiu2V_4Wi-RkdA7_SqQL9inVBYd0MIywekJMrYdFDsprlmX5MKFfc8XSXxb4XwzE2jCIJ5oyDu_YdH8TSIlszlghVNUjHOR2pMIl6FohsILhnkVYNG5UdQeYBz5CfArtrZCioAzkpCnHw4YvYweEEEJAFnWWg408N0PMKlOTwJkpWVyZgP9i1q4HcaCDBRqjGcqshW_WLm9RbhzGLrM-ETVRGrBC1yllks15FyliXl-l8AhBs8QZn0uUIjj0p3QBo0GUIL4Qg1g8cizwqpfvif4V4lXVc1yK8Ifc1AJujN1ey4alpkt6FrbshbGxzpiEXG5tj13apOA2ig8lIwKPBRBRaGCmzyN4CXAq4FJ6lBhhK12cy7ggVBVxg3CdkRweC4SRcn_khmECLfF1Apzxsi6rD12lFb3Tp0_1_EX_yVz5ukptgNMW7g6PDdXKrrHzCwqwNsjo-m-inEF6Po5YxZJR8u2rL-Rvbruzq
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Six+new+loci+associated+with+blood+low-density+lipoprotein+cholesterol%2C+high-density+lipoprotein+cholesterol+or+triglycerides+in+humans&rft.jtitle=Nature+genetics&rft.au=Kathiresan%2C+Sekar&rft.au=Melander%2C+Olle&rft.au=Guiducci%2C+Candace&rft.au=Surti%2C+Aarti&rft.date=2008-02-01&rft.issn=1061-4036&rft.volume=40&rft.issue=2&rft.spage=189&rft.epage=197&rft_id=info:doi/10.1038%2Fng.75&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1061-4036&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1061-4036&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1061-4036&client=summon