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...
Saved in:
Published in | Nature genetics Vol. 40; no. 2; pp. 189 - 197 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.02.2008
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1061-4036 1546-1718 1546-1718 |
DOI | 10.1038/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 |