Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study

Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study Donald W. Bowden 1 2 , Megan Rudock 2 , Julie Ziegler 3 , Allison B. Lehtinen 1 2 , Jianzhao Xu 3 , Lynne E. Wagenknecht 3 , David Herrington 4 , Stephen S....

Full description

Saved in:
Bibliographic Details
Published inDiabetes (New York, N.Y.) Vol. 55; no. 7; pp. 1985 - 1994
Main Authors Bowden, Donald W., Rudock, Megan, Ziegler, Julie, Lehtinen, Allison B., Xu, Jianzhao, Wagenknecht, Lynne E., Herrington, David, Rich, Stephen S., Freedman, Barry I., Carr, J. Jeffrey, Langefeld, Carl D.
Format Journal Article
LanguageEnglish
Published United States American Diabetes Association 01.07.2006
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study Donald W. Bowden 1 2 , Megan Rudock 2 , Julie Ziegler 3 , Allison B. Lehtinen 1 2 , Jianzhao Xu 3 , Lynne E. Wagenknecht 3 , David Herrington 4 , Stephen S. Rich 3 , Barry I. Freedman 4 , J. Jeffrey Carr 5 and Carl D. Langefeld 3 1 Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina 2 Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 3 Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina 4 Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina 5 Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina Address correspondence and reprint requests to Donald W. Bowden, Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157. E-mail: dbowden{at}wfubmc.edu Abstract Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not well understood. The Diabetes Heart Study is a study of type 2 diabetes–enriched families extensively phenotyped for measures of CVD, type 2 diabetes, and metabolic syndrome. A total of 977 Caucasian subjects from 358 pedigrees (575 type 2 diabetic relative pairs) with at least two individuals with type 2 diabetes and, where possible, unaffected siblings were included in a genome scan. Qualitative traits evaluated in this analysis are with or without the presence of coronary calcified plaque (CCP) and with or without carotid calcified plaque (CarCP) measured by electrocardiogram–gated helical computed tomography. In addition, prevalent CVD was measured using two definitions: CVD1, based on self-reported history of clinical CVD (393 subjects), and CVD2, defined as CVD1 and/or CCP >400 (606 subjects). These discrete traits (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) frequently coincide in the same individuals with concordance ranging from 42.9 to 99%. Multipoint nonparametric linkage analysis revealed evidence for coincident mapping of each trait (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) to three different genomic regions: a broad region on chromosome 3 (70–160 cM; logarithm of odds [LOD] scores ranging between 1.15 and 2.71), chromosome 4q31 (peak LOD 146 cM; LOD scores ranging between 0.90 and 2.41), and on chromosome 14p (peak LOD 23 cM; LOD scores ranging between 1.43 and 2.31). Ordered subset analysis (OSA) suggests that the linked chromosome 3 region consists of at least two separate loci on 3p and 3q. In addition, OSA based on lipid measures and other traits identify family subsets with significantly stronger evidence of linkage (e.g., CVD2 on chromosome 3 at 87 cM subsetting on low HDL with an initial LOD of 2.19 is maximized to an LOD of 7.04 in a subset of 25% of the families and CVD2 on chromosome 14 at 22 cM subsetting on high triglycerides with an initial LOD of 1.99 maximized to an LOD of 4.90 in 44% of the families). When subjects are defined as affected by the presence of each trait (type 2 diabetes, metabolic syndrome, CVD1, and CCP), significant evidence for linkage to the 3p locus is observed with a peak LOD of 4.13 at 87 cM. While the correlated nature of the traits makes it unclear whether these loci represent distinct type 2 diabetes, metabolic syndrome, or CVD loci or single loci with pleiotropic effects, the coincident linkage suggests that identification of the underlying genes may help clarify the relationship of diabetes, metabolic syndrome, and CVD. CarCP, carotid calcified plaque CCP, coronary calcified plaque CT, computed tomography CVD, cardiovascular disease ECG, electrocardiogram LOD, logarithm of odds MI, myocardial infarction NPL, nonparametric linkage OSA, ordered subset analysis Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact Accepted April 10, 2006. Received January 3, 2006. DIABETES
AbstractList Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study Donald W. Bowden 1 2 , Megan Rudock 2 , Julie Ziegler 3 , Allison B. Lehtinen 1 2 , Jianzhao Xu 3 , Lynne E. Wagenknecht 3 , David Herrington 4 , Stephen S. Rich 3 , Barry I. Freedman 4 , J. Jeffrey Carr 5 and Carl D. Langefeld 3 1 Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina 2 Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina 3 Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina 4 Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina 5 Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina Address correspondence and reprint requests to Donald W. Bowden, Center for Human Genomics, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157. E-mail: dbowden{at}wfubmc.edu Abstract Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not well understood. The Diabetes Heart Study is a study of type 2 diabetes–enriched families extensively phenotyped for measures of CVD, type 2 diabetes, and metabolic syndrome. A total of 977 Caucasian subjects from 358 pedigrees (575 type 2 diabetic relative pairs) with at least two individuals with type 2 diabetes and, where possible, unaffected siblings were included in a genome scan. Qualitative traits evaluated in this analysis are with or without the presence of coronary calcified plaque (CCP) and with or without carotid calcified plaque (CarCP) measured by electrocardiogram–gated helical computed tomography. In addition, prevalent CVD was measured using two definitions: CVD1, based on self-reported history of clinical CVD (393 subjects), and CVD2, defined as CVD1 and/or CCP >400 (606 subjects). These discrete traits (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) frequently coincide in the same individuals with concordance ranging from 42.9 to 99%. Multipoint nonparametric linkage analysis revealed evidence for coincident mapping of each trait (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) to three different genomic regions: a broad region on chromosome 3 (70–160 cM; logarithm of odds [LOD] scores ranging between 1.15 and 2.71), chromosome 4q31 (peak LOD 146 cM; LOD scores ranging between 0.90 and 2.41), and on chromosome 14p (peak LOD 23 cM; LOD scores ranging between 1.43 and 2.31). Ordered subset analysis (OSA) suggests that the linked chromosome 3 region consists of at least two separate loci on 3p and 3q. In addition, OSA based on lipid measures and other traits identify family subsets with significantly stronger evidence of linkage (e.g., CVD2 on chromosome 3 at 87 cM subsetting on low HDL with an initial LOD of 2.19 is maximized to an LOD of 7.04 in a subset of 25% of the families and CVD2 on chromosome 14 at 22 cM subsetting on high triglycerides with an initial LOD of 1.99 maximized to an LOD of 4.90 in 44% of the families). When subjects are defined as affected by the presence of each trait (type 2 diabetes, metabolic syndrome, CVD1, and CCP), significant evidence for linkage to the 3p locus is observed with a peak LOD of 4.13 at 87 cM. While the correlated nature of the traits makes it unclear whether these loci represent distinct type 2 diabetes, metabolic syndrome, or CVD loci or single loci with pleiotropic effects, the coincident linkage suggests that identification of the underlying genes may help clarify the relationship of diabetes, metabolic syndrome, and CVD. CarCP, carotid calcified plaque CCP, coronary calcified plaque CT, computed tomography CVD, cardiovascular disease ECG, electrocardiogram LOD, logarithm of odds MI, myocardial infarction NPL, nonparametric linkage OSA, ordered subset analysis Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact Accepted April 10, 2006. Received January 3, 2006. DIABETES
Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not well understood. The Diabetes Heart Study is a study of type 2 diabetes-enriched families extensively phenotyped for measures of CVD, type 2 diabetes, and metabolic syndrome. A total of 977 Caucasian subjects from 358 pedigrees (575 type 2 diabetic relative pairs) with at least two individuals with type 2 diabetes and, where possible, unaffected siblings were included in a genome scan. Qualitative traits evaluated in this analysis are with or without the presence of coronary calcified plaque (CCP) and with or without carotid calcified plaque (CarCP) measured by electrocardiogram--gated helical computed tomography. In addition, prevalent CVD was measured using two definitions: CVD1, based on self-reported history of clinical CVD (393 subjects), and CVD2, defined as CVD1 and/or CCP >400 (606 subjects). These discrete traits (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) frequently coincide in the same individuals with concordance ranging from 42.9 to 99%. Multipoint nonparametric linkage analysis revealed evidence for coincident mapping of each trait (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) to three different genomic regions: a broad region on chromosome 3 (70-160 cM; logarithm of odds [LOD] scores ranging between 1.15 and 2.71), chromosome 4q31 (peak LOD 146 cM; LOD scores ranging between 0.90 and 2.41), and on chromosome 14p (peak LOD 23 cM; LOD scores ranging between 1.43 and 2.31). Ordered subset analysis (OSA) suggests that the linked chromosome 3 region consists of at least two separate loci on 3p and 3q. In addition, OSA based on lipid measures and other traits identify family subsets with significantly stronger evidence of linkage (e.g., CVD2 on chromosome 3 at 87 cM subsetting on low HDL with an initial LOD of 2.19 is maximized to an LOD of 7.04 in a subset of 25% of the families and CVD2 on chromosome 14 at 22 cM subsetting on high triglycerides with an initial LOD of 1.99 maximized to an LOD of 4.90 in 44% of the families). When subjects are defined as affected by the presence of each trait (type 2 diabetes, metabolic syndrome, CVD1, and CCP), significant evidence for linkage to the 3p locus is observed with a peak LOD of 4.13 at 87 cM. While the correlated nature of the traits makes it unclear whether these loci represent distinct type 2 diabetes, metabolic syndrome, or CVD loci or single loci with pleiotropic effects, the coincident linkage suggests that identification of the underlying genes may help clarify the relationship of diabetes, metabolic syndrome, and CVD.
Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not well understood. The Diabetes Heart Study is a study of type 2 diabetes-enriched families extensively phenotyped for measures of CVD, type 2 diabetes, and metabolic syndrome. A total of 977 Caucasian subjects from 358 pedigrees (575 type 2 diabetic relative pairs) with at least two individuals with type 2 diabetes and, where possible, unaffected siblings were included in a genome scan. Qualitative traits evaluated in this analysis are with or without the presence of coronary calcified plaque (CCP) and with or without carotid calcified plaque (CarCP) measured by electrocardiogram-gated helical computed tomography. In addition, prevalent CVD was measured using two definitions: CVD1, based on self-reported history of clinical CVD (393 subjects), and CVD2, defined as CVD1 and/or CCP >400 (606 subjects). These discrete traits (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) frequently coincide in the same individuals with concordance ranging from 42.9 to 99%. Multipoint nonparametric linkage analysis revealed evidence for coincident mapping of each trait (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) to three different genomic regions: a broad region on chromosome 3 (70-160 cM; logarithm of odds [LOD] scores ranging between 1.15 and 2.71), chromosome 4q31 (peak LOD 146 cM; LOD scores ranging between 0.90 and 2.41), and on chromosome 14p (peak LOD 23 cM; LOD scores ranging between 1.43 and 2.31). Ordered subset analysis (OSA) suggests that the linked chromosome 3 region consists of at least two separate loci on 3p and 3q. In addition, OSA based on lipid measures and other traits identify family subsets with significantly stronger evidence of linkage (e.g., CVD2 on chromosome 3 at 87 cM subsetting on low HDL with an initial LOD of 2.19 is maximized to an LOD of 7.04 in a subset of 25% of the families and CVD2 on chromosome 14 at 22 cM subsetting on high triglycerides with an initial LOD of 1.99 maximized to an LOD of 4.90 in 44% of the families). When subjects are defined as affected by the presence of each trait (type 2 diabetes, metabolic syndrome, CVD1, and CCP), significant evidence for linkage to the 3p locus is observed with a peak LOD of 4.13 at 87 cM. While the correlated nature of the traits makes it unclear whether these loci represent distinct type 2 diabetes, metabolic syndrome, or CVD loci or single loci with pleiotropic effects, the coincident linkage suggests that identification of the underlying genes may help clarify the relationship of diabetes, metabolic syndrome, and CVD.Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not well understood. The Diabetes Heart Study is a study of type 2 diabetes-enriched families extensively phenotyped for measures of CVD, type 2 diabetes, and metabolic syndrome. A total of 977 Caucasian subjects from 358 pedigrees (575 type 2 diabetic relative pairs) with at least two individuals with type 2 diabetes and, where possible, unaffected siblings were included in a genome scan. Qualitative traits evaluated in this analysis are with or without the presence of coronary calcified plaque (CCP) and with or without carotid calcified plaque (CarCP) measured by electrocardiogram-gated helical computed tomography. In addition, prevalent CVD was measured using two definitions: CVD1, based on self-reported history of clinical CVD (393 subjects), and CVD2, defined as CVD1 and/or CCP >400 (606 subjects). These discrete traits (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) frequently coincide in the same individuals with concordance ranging from 42.9 to 99%. Multipoint nonparametric linkage analysis revealed evidence for coincident mapping of each trait (type 2 diabetes, metabolic syndrome, CVD1, CVD2, CCP, and CarCP) to three different genomic regions: a broad region on chromosome 3 (70-160 cM; logarithm of odds [LOD] scores ranging between 1.15 and 2.71), chromosome 4q31 (peak LOD 146 cM; LOD scores ranging between 0.90 and 2.41), and on chromosome 14p (peak LOD 23 cM; LOD scores ranging between 1.43 and 2.31). Ordered subset analysis (OSA) suggests that the linked chromosome 3 region consists of at least two separate loci on 3p and 3q. In addition, OSA based on lipid measures and other traits identify family subsets with significantly stronger evidence of linkage (e.g., CVD2 on chromosome 3 at 87 cM subsetting on low HDL with an initial LOD of 2.19 is maximized to an LOD of 7.04 in a subset of 25% of the families and CVD2 on chromosome 14 at 22 cM subsetting on high triglycerides with an initial LOD of 1.99 maximized to an LOD of 4.90 in 44% of the families). When subjects are defined as affected by the presence of each trait (type 2 diabetes, metabolic syndrome, CVD1, and CCP), significant evidence for linkage to the 3p locus is observed with a peak LOD of 4.13 at 87 cM. While the correlated nature of the traits makes it unclear whether these loci represent distinct type 2 diabetes, metabolic syndrome, or CVD loci or single loci with pleiotropic effects, the coincident linkage suggests that identification of the underlying genes may help clarify the relationship of diabetes, metabolic syndrome, and CVD.
Audience Professional
Author Jianzhao Xu
Megan Rudock
J. Jeffrey Carr
Barry I. Freedman
Allison B. Lehtinen
Lynne E. Wagenknecht
Carl D. Langefeld
Julie Ziegler
Stephen S. Rich
Donald W. Bowden
David Herrington
Author_xml – sequence: 1
  givenname: Donald W.
  surname: Bowden
  fullname: Bowden, Donald W.
  organization: Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina, Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 2
  givenname: Megan
  surname: Rudock
  fullname: Rudock, Megan
  organization: Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 3
  givenname: Julie
  surname: Ziegler
  fullname: Ziegler, Julie
  organization: Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 4
  givenname: Allison B.
  surname: Lehtinen
  fullname: Lehtinen, Allison B.
  organization: Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina, Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 5
  givenname: Jianzhao
  surname: Xu
  fullname: Xu, Jianzhao
  organization: Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 6
  givenname: Lynne E.
  surname: Wagenknecht
  fullname: Wagenknecht, Lynne E.
  organization: Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 7
  givenname: David
  surname: Herrington
  fullname: Herrington, David
  organization: Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 8
  givenname: Stephen S.
  surname: Rich
  fullname: Rich, Stephen S.
  organization: Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 9
  givenname: Barry I.
  surname: Freedman
  fullname: Freedman, Barry I.
  organization: Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 10
  givenname: J. Jeffrey
  surname: Carr
  fullname: Carr, J. Jeffrey
  organization: Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
– sequence: 11
  givenname: Carl D.
  surname: Langefeld
  fullname: Langefeld, Carl D.
  organization: Department of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
BackLink https://www.ncbi.nlm.nih.gov/pubmed/16804067$$D View this record in MEDLINE/PubMed
BookMark eNqFkl2LEzEUhgdZcT_0wj8gwQtB3NlN5iPJXC5Vu0JlL7qCd-FM5kybdZqpSUbtn_A3m6G1S6UggSScPO9LTvKeJye2t5gkLxm9yvJcXDc15SmlNH-SnLEqr9I8E19PkjNKWZYyUYnT5Nz7h0jwOJ4lp4xLWlAuzpLfk95YbRq0gcyM_QYLJH1L7jdrJBl5b6DGgP6SfMYAdd8ZTeYb27h-hZcEbBPr4AeHfhRNwDWm_wFeDx24KPbxEImxBMgUbdSQuQY7omGJe3Nyi-ACmYeh2TxPnrbQeXyxWy-SLx8_3E9u09nd9NPkZpZqnomQ1q2UICjDUgsBJa-ZQIYFB-BIWcWaFiSVWVGCzGmuy5LTEgGhrcsmq1HmF8mbre_a9d8H9EGtjNfYdWCxH7zispRFJov_gkxkPCsFjeDrf8CHfnA2NqEyxgtRVZRHKN1CC-hQGdv2wYFeoEUHXfzT1sTyDStkIeM08ldH-DgaXBl9VPD2QBCZgL_CAgbvlZzODtn0GKv7rsMFqvjek7tD_tWuw6FeYaPWzqzAbdTfMEXgegto13vvsFXaBAgm-jownWJUjXFVY1zVGNfH6-4Ve9Mj7LstuzSL5U_jUDW7AD1uylIJxSpZ5n8A5qH1LA
CODEN DIAEAZ
CitedBy_id crossref_primary_10_1002_dmrr_731
crossref_primary_10_5937_scriptamed53_36711
crossref_primary_10_1111_j_1469_1809_2008_00446_x
crossref_primary_10_1309_LMLS813ZDPHRFLUU
crossref_primary_10_1007_s11834_009_0110_9
crossref_primary_10_1042_BSR20182313
crossref_primary_10_1016_j_dsx_2018_04_009
crossref_primary_10_1007_s13258_011_0069_2
crossref_primary_10_1097_JCN_0b013e31820017dc
crossref_primary_10_3390_diagnostics13142348
crossref_primary_10_1007_s00125_009_1324_9
crossref_primary_10_1002_gepi_20585
crossref_primary_10_1007_s00439_010_0790_y
crossref_primary_10_1007_s00335_014_9543_x
crossref_primary_10_1097_HJH_0b013e328346d72c
crossref_primary_10_1161_01_RES_0000259589_34348_74
crossref_primary_10_1002_gepi_20227
crossref_primary_10_1007_s00335_022_09948_x
crossref_primary_10_3945_ajcn_114_090365
crossref_primary_10_1016_j_pnpbp_2011_10_013
crossref_primary_10_1016_j_neurobiolaging_2014_11_008
crossref_primary_10_1038_ijo_2011_131
crossref_primary_10_1038_oby_2011_154
crossref_primary_10_1111_j_1464_5491_2011_03560_x
crossref_primary_10_1210_er_2006_0035
crossref_primary_10_1097_MED_0b013e3282c3a898
crossref_primary_10_1371_journal_pgen_1000318
crossref_primary_10_1086_512981
crossref_primary_10_1111_dom_13848
crossref_primary_10_2337_db07_1365
crossref_primary_10_1111_j_1469_1809_2010_00635_x
crossref_primary_10_1161_CIRCRESAHA_109_210294
crossref_primary_10_1097_MED_0b013e3280d5f7e9
crossref_primary_10_1111_jdi_12391
crossref_primary_10_1089_met_2006_4_218
crossref_primary_10_1016_j_jaad_2016_07_064
crossref_primary_10_1111_j_1542_474X_2008_00276_x
crossref_primary_10_1007_s00592_012_0440_z
crossref_primary_10_1186_1475_2840_12_95
crossref_primary_10_1590_S0365_05962011000600014
crossref_primary_10_1111_j_1469_1809_2009_00540_x
crossref_primary_10_1111_j_1469_1809_2008_00433_x
crossref_primary_10_1371_journal_pgen_0020139
crossref_primary_10_1002_ajmg_b_32712
crossref_primary_10_1097_BOR_0b013e3283031c99
crossref_primary_10_1111_j_1469_1809_2010_00632_x
crossref_primary_10_1172_JCI46045
crossref_primary_10_1007_s10528_012_9552_y
crossref_primary_10_3109_08039488_2012_754052
crossref_primary_10_1007_s11892_008_0025_y
crossref_primary_10_1186_s12863_015_0321_x
crossref_primary_10_1159_000435775
crossref_primary_10_1007_s00439_013_1339_7
crossref_primary_10_1038_srep01491
Cites_doi 10.1148/radiol.2362040513
10.2337/diacare.21.1.69
10.1001/jama.285.19.2486
10.1086/301904
10.1097/00004872-200403000-00024
10.4065/74.3.243
10.1161/01.HYP.0000164575.16609.02
10.1161/hq0302.105721
10.1148/radiol.2341040439
10.1089/154099904323016437
10.1002/gepi.2001.21.s1.s123
10.1067/mhj.2001.113220
10.1002/(SICI)1098-2272(1999)17:2<141::AID-GEPI4>3.0.CO;2-Q
10.1086/302800
10.2214/ajr.174.4.1740915
10.1161/01.ATV.0000173418.42264.19
10.1093/oxfordjournals.aje.a114266
10.2337/diabetes.50.4.861
10.1086/381560
10.2337/diacare.18.12.1534
10.2337/diabetes.38.4.504
10.1002/gepi.20000
10.1016/j.ahj.2005.01.017
10.1001/jama.241.19.2035
10.1002/gepi.2001.21.s1.s136
10.1056/NEJM199807233390404
10.1007/BF00281114
10.1186/1471-2164-4-6
10.1111/j.1523-1755.2004.00915.x
10.1093/aje/kwh314
10.1001/jama.257.7.949
10.1086/302011
10.1001/jama.291.2.210
10.1161/01.STR.0000019909.71547.AA
10.1016/j.jacc.2003.09.068
10.1161/CIRCULATIONAHA.104.488916
10.1086/423900
10.2337/diabetes.53.6.1609
10.1067/mhj.2002.124404
10.2337/diabetes.44.4.369
10.1159/000077545
ContentType Journal Article
Copyright COPYRIGHT 2006 American Diabetes Association
COPYRIGHT 2006 American Diabetes Association
Copyright American Diabetes Association Jul 2006
Copyright_xml – notice: COPYRIGHT 2006 American Diabetes Association
– notice: COPYRIGHT 2006 American Diabetes Association
– notice: Copyright American Diabetes Association Jul 2006
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
8GL
3V.
7RV
7X7
7XB
88E
88I
8AF
8AO
8C1
8FE
8FH
8FI
8FJ
8FK
8G5
ABUWG
AFKRA
AZQEC
BBNVY
BEC
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
GUQSH
HCIFZ
K9-
K9.
KB0
LK8
M0R
M0S
M1P
M2O
M2P
M7P
MBDVC
NAPCQ
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
S0X
8FD
FR3
P64
RC3
7X8
DOI 10.2337/db06-0003
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: High School
ProQuest Central (Corporate)
Nursing & Allied Health Database
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
STEM Database
ProQuest Pharma Collection
Public Health Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
eLibrary
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
ProQuest Research Library
SciTech Premium Collection
Consumer Health Database (Alumni Edition)
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
Biological Sciences
Consumer Health Database
ProQuest Health & Medical Collection
Medical Database
Proquest Research Library
Science Database
Biological Science Database
Research Library (Corporate)
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic
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
SIRS Editorial
Technology Research Database
Engineering Research Database
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Research Library Prep
ProQuest Central Student
ProQuest Central Essentials
elibrary
ProQuest AP Science
SciTech Premium Collection
ProQuest Central China
ProQuest One Applied & Life Sciences
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Family Health
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
SIRS Editorial
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 Family Health (Alumni Edition)
ProQuest Central
ProQuest Health & Medical Research Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
ProQuest Research Library
ProQuest Public Health
ProQuest Central Basic
ProQuest Science Journals
ProQuest Nursing & Allied Health Source
ProQuest SciTech Collection
ProQuest Medical Library
ProQuest Central (Alumni)
Genetics Abstracts
Engineering Research Database
Technology Research Database
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitleList

MEDLINE

MEDLINE - Academic
CrossRef
Research Library Prep
Genetics Abstracts
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 Medicine
EISSN 1939-327X
EndPage 1994
ExternalDocumentID 1081556951
A148481486
16804067
10_2337_db06_0003
diabetes_55_7_1985
Genre Multicenter Study
Comparative Study
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIAMS NIH HHS
  grantid: R01 AR48797
– fundername: NCRR NIH HHS
  grantid: M01 RR007122
– fundername: NHLBI NIH HHS
  grantid: R01 HL67348
– fundername: NIAMS NIH HHS
  grantid: R01 AR048797
– fundername: NCRR NIH HHS
  grantid: M01 RR07122
GroupedDBID -
08R
0R
1AW
29F
2WC
3V.
4.4
53G
55
5GY
5RE
5RS
5VS
7RV
7X7
88E
88I
8AF
8AO
8C1
8F7
8FE
8FH
8FI
8FJ
8G5
8GL
8R4
8R5
AAQQT
AAWTL
AAYEP
AAYJJ
ABFLS
ABOCM
ABPTK
ABUWG
ACDCL
ACGOD
ACPRK
ADACO
ADBBV
ADBIT
AENEX
AFFNX
AFKRA
AHMBA
ALMA_UNASSIGNED_HOLDINGS
AZQEC
BAWUL
BBAFP
BBNVY
BCR
BCU
BEC
BENPR
BES
BHPHI
BKEYQ
BKNYI
BLC
BPHCQ
BVXVI
C1A
CS3
DIK
DU5
DWQXO
E3Z
EBS
EDB
EJD
EX3
F5P
FRP
FYUFA
GICCO
GJ
GNUQQ
GUQSH
GX1
H13
HCIFZ
HZ
IAG
IAO
IEA
IHR
INH
INR
IOF
IPO
J5H
K-O
K9-
KM
KQ8
L7B
LK8
M0R
M1P
M2O
M2P
M2Q
M5
M7P
MBDVC
O0-
O9-
OB3
OBH
OK1
OVD
P2P
PADUT
PCD
PEA
PQEST
PQQKQ
PQUKI
PRINS
PROAC
PSQYO
Q2X
RHF
RHI
RPM
S0X
SJFOW
SJN
SV3
TDI
WH7
WOQ
WOW
X7M
XZ
ZA5
ZGI
ZY1
---
.55
.GJ
.XZ
08P
0R~
18M
354
6PF
AAFWJ
AAKAS
AAYOK
AAYXX
ACGFO
ADGHP
ADZCM
AEGXH
AERZD
AIAGR
AIZAD
ALIPV
BTFSW
CCPQU
CITATION
EMOBN
HMCUK
HZ~
ITC
K2M
M5~
N4W
NAPCQ
OHH
PHGZM
PHGZT
TEORI
TR2
UKHRP
VVN
W8F
YFH
YHG
YOC
~KM
1CY
AI.
CGR
CUY
CVF
ECM
EIF
H~9
MVM
NPM
O5R
O5S
PMFND
VH1
XOL
YQJ
ZXP
7XB
8FK
K9.
PJZUB
PKEHL
PPXIY
PQGLB
Q9U
8FD
FR3
P64
RC3
7X8
ID FETCH-LOGICAL-c627t-bf88a701e5c77a56b17e1e46aa6e0191dfa808245a8303c55605eaeafb5d2be83
IEDL.DBID 7X7
ISSN 0012-1797
IngestDate Fri Jul 11 13:37:52 EDT 2025
Mon Jul 21 09:40:28 EDT 2025
Fri Jul 25 10:49:20 EDT 2025
Fri Jun 13 00:43:24 EDT 2025
Tue Jun 10 21:38:30 EDT 2025
Fri Jun 27 05:00:40 EDT 2025
Tue Jun 10 19:02:20 EDT 2025
Fri May 30 11:01:05 EDT 2025
Tue Jul 01 04:24:03 EDT 2025
Thu Apr 24 22:55:17 EDT 2025
Fri Jan 15 19:45:56 EST 2021
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c627t-bf88a701e5c77a56b17e1e46aa6e0191dfa808245a8303c55605eaeafb5d2be83
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
OpenAccessLink https://diabetesjournals.org/diabetes/article-pdf/55/7/1985/383385/zdb00706001985.pdf
PMID 16804067
PQID 216479906
PQPubID 34443
PageCount 10
ParticipantIDs pubmed_primary_16804067
gale_incontextgauss_8GL_A148481486
proquest_miscellaneous_68584284
proquest_miscellaneous_17262570
gale_infotracacademiconefile_A148481486
crossref_citationtrail_10_2337_db06_0003
highwire_diabetes_diabetes_55_7_1985
crossref_primary_10_2337_db06_0003
gale_infotracgeneralonefile_A148481486
gale_incontextcollege_GICCO_A148481486
proquest_journals_216479906
ProviderPackageCode RHF
RHI
CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20060701
2006-07-01
2006-Jul
PublicationDateYYYYMMDD 2006-07-01
PublicationDate_xml – month: 07
  year: 2006
  text: 20060701
  day: 01
PublicationDecade 2000
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: New York
PublicationTitle Diabetes (New York, N.Y.)
PublicationTitleAlternate Diabetes
PublicationYear 2006
Publisher American Diabetes Association
Publisher_xml – name: American Diabetes Association
References 2022031209315301500_R29
2022031209315301500_R28
2022031209315301500_R27
2022031209315301500_R26
2022031209315301500_R25
2022031209315301500_R24
2022031209315301500_R46
2022031209315301500_R23
2022031209315301500_R45
2022031209315301500_R22
2022031209315301500_R44
2022031209315301500_R10
2022031209315301500_R32
2022031209315301500_R31
2022031209315301500_R30
2022031209315301500_R19
2022031209315301500_R18
2022031209315301500_R17
2022031209315301500_R39
2022031209315301500_R16
2022031209315301500_R38
2022031209315301500_R15
2022031209315301500_R37
2022031209315301500_R14
2022031209315301500_R36
2022031209315301500_R13
2022031209315301500_R35
2022031209315301500_R12
2022031209315301500_R34
2022031209315301500_R11
2022031209315301500_R33
2022031209315301500_R21
2022031209315301500_R43
2022031209315301500_R1
2022031209315301500_R20
2022031209315301500_R42
2022031209315301500_R2
2022031209315301500_R41
2022031209315301500_R3
2022031209315301500_R40
2022031209315301500_R4
2022031209315301500_R5
2022031209315301500_R6
2022031209315301500_R7
2022031209315301500_R8
2022031209315301500_R9
References_xml – ident: 2022031209315301500_R14
  doi: 10.1148/radiol.2362040513
– ident: 2022031209315301500_R6
  doi: 10.2337/diacare.21.1.69
– ident: 2022031209315301500_R18
  doi: 10.1001/jama.285.19.2486
– ident: 2022031209315301500_R7
– ident: 2022031209315301500_R21
  doi: 10.1086/301904
– ident: 2022031209315301500_R29
  doi: 10.1097/00004872-200403000-00024
– ident: 2022031209315301500_R34
  doi: 10.4065/74.3.243
– ident: 2022031209315301500_R40
  doi: 10.1161/01.HYP.0000164575.16609.02
– ident: 2022031209315301500_R42
  doi: 10.1161/hq0302.105721
– ident: 2022031209315301500_R15
  doi: 10.1148/radiol.2341040439
– ident: 2022031209315301500_R32
  doi: 10.1089/154099904323016437
– ident: 2022031209315301500_R26
  doi: 10.1002/gepi.2001.21.s1.s123
– ident: 2022031209315301500_R31
  doi: 10.1067/mhj.2001.113220
– ident: 2022031209315301500_R36
  doi: 10.1002/(SICI)1098-2272(1999)17:2<141::AID-GEPI4>3.0.CO;2-Q
– ident: 2022031209315301500_R20
  doi: 10.1086/302800
– ident: 2022031209315301500_R44
– ident: 2022031209315301500_R16
  doi: 10.2214/ajr.174.4.1740915
– ident: 2022031209315301500_R39
  doi: 10.1161/01.ATV.0000173418.42264.19
– ident: 2022031209315301500_R4
  doi: 10.1093/oxfordjournals.aje.a114266
– ident: 2022031209315301500_R11
  doi: 10.2337/diabetes.50.4.861
– ident: 2022031209315301500_R46
  doi: 10.1086/381560
– ident: 2022031209315301500_R8
  doi: 10.2337/diacare.18.12.1534
– ident: 2022031209315301500_R23
– ident: 2022031209315301500_R2
  doi: 10.2337/diabetes.38.4.504
– ident: 2022031209315301500_R27
  doi: 10.1002/gepi.20000
– ident: 2022031209315301500_R17
  doi: 10.1016/j.ahj.2005.01.017
– ident: 2022031209315301500_R1
  doi: 10.1001/jama.241.19.2035
– ident: 2022031209315301500_R25
  doi: 10.1002/gepi.2001.21.s1.s136
– ident: 2022031209315301500_R5
  doi: 10.1056/NEJM199807233390404
– ident: 2022031209315301500_R13
– ident: 2022031209315301500_R10
  doi: 10.1007/BF00281114
– ident: 2022031209315301500_R19
  doi: 10.1186/1471-2164-4-6
– ident: 2022031209315301500_R28
  doi: 10.1111/j.1523-1755.2004.00915.x
– ident: 2022031209315301500_R37
  doi: 10.1093/aje/kwh314
– ident: 2022031209315301500_R3
  doi: 10.1001/jama.257.7.949
– ident: 2022031209315301500_R22
  doi: 10.1086/302011
– ident: 2022031209315301500_R33
  doi: 10.1001/jama.291.2.210
– ident: 2022031209315301500_R12
  doi: 10.1161/01.STR.0000019909.71547.AA
– ident: 2022031209315301500_R30
  doi: 10.1016/j.jacc.2003.09.068
– ident: 2022031209315301500_R35
  doi: 10.1161/CIRCULATIONAHA.104.488916
– ident: 2022031209315301500_R45
  doi: 10.1086/423900
– ident: 2022031209315301500_R41
  doi: 10.2337/diabetes.53.6.1609
– ident: 2022031209315301500_R38
  doi: 10.1067/mhj.2002.124404
– ident: 2022031209315301500_R24
– ident: 2022031209315301500_R9
  doi: 10.2337/diabetes.44.4.369
– ident: 2022031209315301500_R43
  doi: 10.1159/000077545
SSID ssj0006060
Score 2.1058323
Snippet Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study Donald W. Bowden...
Cardiovascular disease (CVD) is a major contributor to morbidity and mortality in type 2 diabetes, but the relationship between CVD and type 2 diabetes is not...
SourceID proquest
gale
pubmed
crossref
highwire
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1985
SubjectTerms Aged
Calcinosis - genetics
Cardiovascular diseases
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - genetics
Carotid Artery Diseases - genetics
Diabetes Mellitus, Type 2 - genetics
Diabetic Angiopathies - genetics
Diabetics
Genetic aspects
Genetic Linkage
Genetic research
Genome, Human
Health aspects
Humans
Male
Metabolic Syndrome - genetics
Metabolic syndrome X
Middle Aged
Phenotype
Prevalence
Reference Values
Regression Analysis
Risk factors
Title Coincident Linkage of Type 2 Diabetes, Metabolic Syndrome, and Measures of Cardiovascular Disease in a Genome Scan of the Diabetes Heart Study
URI http://diabetes.diabetesjournals.org/content/55/7/1985.abstract
https://www.ncbi.nlm.nih.gov/pubmed/16804067
https://www.proquest.com/docview/216479906
https://www.proquest.com/docview/17262570
https://www.proquest.com/docview/68584284
Volume 55
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1La9wwEBZtAqWXkr7dtKkoIe0hSyxbrz2V1CRZSjctTQN7E7Ish0Cw09h76J_ob-6MLTsYkl7Esjuy1x55_M1D3xCyC4CtTJzls9jDwOdIeYtchFzqufdJ6ViXwV-eysU5_7oSq1Cb04SyysEmdoa6qB3GyA8SJL4C0yk_X_-eYdMoTK6GDhoPySYyl-GiVqvR34oBm_c7UFiCLJyqJxZK0lQdFDk60vHQKiu8jgajPDAF3486u7fP8RZ5EmAjPez1_JQ88NUz8mgZEuPPyd-sxqA57rql6F6ClaB1SdHLpAkNZS_NPl36FrR-denoWaAq2Ke2KuD7LlTY4KRsUqIKk7sUDr2sqKUnvoI59AwUgqKAHseD0wU8NC3FwsQ_L8j58dGvbDELrRZmTiaqneWl1lbFzAunlBUyZ8ozz6W10gMIZEVpNYAFLixoMnUCcJLw1tsyF0WSe52-JBtVXfnXhII_ZWOrtFeAzorC2pizQsfCstxxW-QR-TTcceMCDzm2w7gy4I-gcgwqB5PiaUQ-jKLXPfnGXUJ7qDaDZBYVVsu4PuJi4Pqy7-YQ_D2uYZBwtKnghV03jdEn3yZCH4NQWcO_cjbsUoBrQ6KsieTeRPKipwm_S3B3WFBmCKjffhDCKMPmWkRke1hsJtiRxoyrPiLvx1_BAGBWx1a-XjcGEKjEVoT3S2CLAfAyeURe9Wv49mZKDUZcqjf_Pfc2edwHnrBI-S3ZaG_W_h1AsTbf6R44GHXGdsjml6PTHz__AXcAM1g
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwELZKkYAL4p9QoBYqhUOjJlnb8R4QqgLtlu6WQ1upN-M4TlWpSgrJCvUleBPekZnE3lWkllsv0Wp37E0y4_H8-RtCNsBgKxOjWRhZuLAxQt4iFiETcmxtUpq4y-DPDsXkhH075acr5K8_C4NllV4ndoq6qA3GyLcTBL4C1Sk-X_4MsWkUJld9B41eKg7s1W_w2JpP-1-Ave-TZPfrcTYJXVOB0IgkbcO8lFKnUWy5SVPNRR6nNrZMaC0smDtxUWoJ2yLjGu55ZDhYBNxqq8ucF0lu5QjmvUPushGsTDyYni0rSsAX6E-8xAmifqY9kFEClNtFjo575Ftzue3PbwIemfhmK7fb7XYfkYfOTKU7vVw9Jiu2ekLuzVwi_in5k9UYpMdTvhTdWdBKtC4perU0oa7MptmiM9uClF2cG3rkoBG2qK4K-L4LTTY4KBuUxMLgLmVEzyuq6Z6tYAw9AgFAUrBWF5PTCbCjpVgIefWMnNwKF56T1aqu7EtCwX_TkU6lTcEaLAqtIxYXMuI6zg3TRR6Qj_6NK-Nwz7H9xoUC_weZo5A5mIQfBeTdgvSyB_u4jmgT2aYQPKPC6hzTR3gUPF_2Xe2Af8kkXATMNiQ80_OmUXJvOiD64IjKGu7KaHcqAp4NgbkGlJsDyrMelvw6wg0vUMoH8JcfOFepiseSB2TNC5tyeqtRi1UWkPXFr6BwMIukK1vPGwUWr8DWhzdTYEsD8GpZQF70Mrx8mULCpiHSV__973Vyf3I8m6rp_uHBGnnQB72wQPo1WW1_ze0bMAPb_G23-Cj5cdur_R8yt24U
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKkSouiDehQC1UCodGm5cfe0CoStluabcglUq9uY7jVJWqpJCsUP8E_4d_x0zi7CpSy62XaLU79iaZ8Xhe_oaQTTDYisjoxA8sXJIxQt4iFmHC5djaqDBhm8GfHfHpSfL1lJ2ukL_9WRgsq-x1Yquo88pgjHwUIfAVqE4-KlxVxPfdyeernz42kMJEa99No5OQA3v9G7y3-tP-LrD6fRRNvvxIp75rMOAbHonGzwoptQhCy4wQmvEsFDa0CdeaWzB9wrzQErbIhGm4_9gwsA6Y1VYXGcujzMoY5r1H7otYSFxiMl1Wl4Bf0J1-CSNEABUdqFEUx2KUZ-jEB32bLrcV9htCj1J8u8Xb7nyTR-ShM1npTidjj8mKLZ-QtZlLyj8lf9IKA_Z44peiawsailYFRQ-XRtSV3NTbdGYbkLjLC0OPHUzCNtVlDt-3YcoaB6WD8lgY3KaP6EVJNd2zJYyhxyAMSAqW62JyOgV2NBSLIq-fkZM74cJzslpWpX1JKPhyOtBCWgGWYZ5rHSRhLgOmw8wkOs888rF_48o4DHRsxXGpwBdC5ihkDibkY4-8W5BedcAfNxFtIdsUAmmUKJOmi_YoeL70m9oBXzORcOEw25DwXM_rWsm9wwHRB0dUVHBXRrsTEvBsCNI1oNwaUJ53EOU3EW72AqX6YP7yA2NKqHAsmUfWe2FTTofVarHiPLKx-BWUD2aUdGmrea3A-uXYBvF2CmxvAB5u4pEXnQwvXyaXsIFw8eq__71B1mCdq8P9o4N18qCLf2Gt9Guy2vya2zdgETbZ23btUXJ214v9H2GNcko
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=Coincident+Linkage+of+Type+2+Diabetes%2C+Metabolic+Syndrome%2C+and+Measures+of+Cardiovascular+Disease+in+a+Genome+Scan+of+the+Diabetes+Heart+Study&rft.jtitle=Diabetes+%28New+York%2C+N.Y.%29&rft.au=Bowden%2C+Donald+W&rft.au=Rudock%2C+Megan&rft.au=Ziegler%2C+Julie&rft.au=Lehtinen%2C+Allison+B&rft.date=2006-07-01&rft.pub=American+Diabetes+Association&rft.issn=0012-1797&rft.eissn=1939-327X&rft.volume=55&rft.issue=7&rft.spage=1985&rft_id=info:doi/10.2337%2Fdb06-0003&rft.externalDBID=HAS_PDF_LINK&rft.externalDocID=1081556951
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0012-1797&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0012-1797&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0012-1797&client=summon