Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration

被引:92
作者
Angelakopoulou, Aspasia [2 ]
Shah, Tina [1 ]
Sofat, Reecha [1 ]
Shah, Sonia [3 ]
Berry, Diane J. [4 ,5 ]
Cooper, Jackie [6 ]
Palmen, Jutta [6 ]
Tzoulaki, Ioanna [7 ,8 ]
Wong, Andrew [9 ]
Jefferis, Barbara J. [10 ]
Maniatis, Nikolas [11 ]
Drenos, Fotios [6 ]
Gigante, Bruna [12 ]
Hardy, Rebecca [9 ]
Laxton, Ross C. [13 ]
Leander, Karin [12 ]
Motterle, Anna [13 ]
Simpson, Iain A. [14 ]
Smeeth, Liam [2 ]
Thomson, Andy [10 ]
Verzilli, Claudio [2 ]
Kuh, Diana [9 ]
Ireland, Helen [6 ]
Deanfield, John
Caulfield, Mark [13 ]
Wallace, Chris [13 ,15 ]
Samani, Nilesh [16 ,17 ]
Munroe, Patricia B. [13 ]
Lathrop, Mark [18 ]
Fowkes, F. Gerry R. [19 ]
Marmot, Michael [20 ]
Whincup, Peter H. [21 ]
Whittaker, John C. [2 ,22 ]
de Faire, Ulf [12 ]
Kivimaki, Mika [20 ]
Kumari, Meena [20 ]
Hypponen, Elina [4 ,5 ]
Power, Chris [4 ,5 ]
Humphries, Steve E. [6 ]
Talmud, Philippa J. [6 ]
Price, Jackie [19 ]
Morris, Richard W. [10 ]
Ye, Shu [13 ]
Casas, Juan P. [2 ,20 ]
Hingorani, Aroon D. [1 ,20 ]
机构
[1] UCL, Rayne Inst, Ctr Clin Pharmacol, Div Med, London WC1E 6JF, England
[2] Univ London London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London WC1E 7HT, England
[3] UCL, UCL Genet Inst, Dept Genet Evolut & Environm, London WC1E 6BT, England
[4] UCL, Inst Child Hlth, Ctr Paediat Epidemiol & Biostat, London WC1N 1EH, England
[5] UCL, MRC Ctr Epidemiol Child Hlth, Inst Child Hlth, London WC1N 1EH, England
[6] UCL, Rayne Inst, Inst Cardiovasc Sci, Ctr Cardiovasc Genet, London WC1E 6JF, England
[7] Univ London Imperial Coll Sci Technol & Med, Dept Epidemiol & Biostat, London W2 1PG, England
[8] Univ Ioannina, Sch Med, Dept Hyg & Epidemiol, GR-45110 Ioannina, Greece
[9] MRC Unit Lifelong Hlth & Ageing, London WC1B 5JU, England
[10] UCL, Sch Med, Dept Primary Care & Populat Hlth, London NW3 2PF, England
[11] UCL, Dept Genet Evolut & Environm, Div Biosci, London WC1E 6BT, England
[12] Karolinska Inst, Inst Environm Med, Div Cardiovasc Epidemiol, S-10401 Stockholm, Sweden
[13] Queen Mary Univ London, John Vane Sci Ctr, Barts & London Sch Med, William Harvey Res Inst, London EC1M 6BQ, England
[14] Southampton Univ Hosp, Wessex Reg Cardiac Unit, Southampton SO16 6YD, Hants, England
[15] Univ Cambridge, Addenbrookes Hosp, Cambridge Inst Med Res, JDRF WT Diabet & Inflammat Lab, Cambridge CB2 0XY, England
[16] Univ Leicester, Glenfield Hosp, Dept Cardiovasc Sci, Leicester LE3 9QP, Leics, England
[17] Glenfield Hosp, Leicester NIHR Biomed Res Unit Cardiovasc Dis, Leicester LE3 9QP, Leics, England
[18] Ctr Natl Genotypage, F-91057 Paris, France
[19] Univ Edinburgh, Sch Med, Ctr Populat Hlth Sci, Edinburgh EH8 9AG, Midlothian, Scotland
[20] UCL, Div Populat Hlth, Dept Epidemiol & Publ Hlth, London WC1E 7HB, England
[21] Univ London, Div Community Hlth Sci, London SW17 0RE, England
[22] GlaxoSmithKline, Med Res Ctr, Stevenage SG1 2NY, Herts, England
基金
英国医学研究理事会; 英国惠康基金; 英国经济与社会研究理事会;
关键词
Coronary disease; Lipids; Genes; Risk factors; DENSITY-LIPOPROTEIN CHOLESTEROL; NEWLY IDENTIFIED LOCI; APOLIPOPROTEIN-A-V; ARTERY-DISEASE; FTO GENE; COHORT PROFILE; RISK; TRIGLYCERIDES; VARIANTS; POLYMORPHISMS;
D O I
10.1093/eurheartj/ehr225
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims To evaluate the associations of emergent genome-wide-association study-derived coronary heart disease (CHD)associated single nucleotide polymorphisms (SNPs) with established and emerging risk factors, and the association of genome-wide-association study-derived lipid-associated SNPs with other risk factors and CHD events. Methods and results Using two case-control studies, three cross-sectional, and seven prospective studies with up to 25 000 individuals and 5794 CHD events we evaluated associations of 34 genome-wide-association study-identified SNPs with CHD risk and 16 CHD-associated risk factors or biomarkers. The Ch9p21 SNPs rs1333049 (OR 1.17; 95% confidence limits 1.11-1.24) and rs10757274 (OR 1.17; 1.09-1.26), MIA3 rs17465637 (OR 1.10; 1.04-1.15), Ch2q36 rs2943634 (OR 1.08; 1.03-1.14), APC rs383830 (OR 1.10; 1.02, 1.18), MTHFD1L rs6922269 (OR 1.10; 1.03, 1.16), CXCL12 rs501120 (OR 1.12; 1.04, 1.20), and SMAD3 rs17228212 (OR 1.11; 1.05, 1.17) were all associated with CHD risk, but not with the CHD biomarkers and risk factors measured. Among the 20 blood lipid-related SNPs, LPL rs17411031 was associated with a lower risk of CHD (OR 0.91; 0.84-0.97), an increase in Apolipoprotein AI and HDL-cholesterol, and reduced triglycerides. SORT1 rs599839 was associated with CHD risk (OR 1.20; 1.15-1.26) as well as total- and LDL-cholesterol, and apolipoprotein B. ANGPTL3 rs12042319 was associated with CHD risk (OR 1.11; 1.03, 1.19), total-and LDL-cholesterol, triglycerides, and interleukin-6. Conclusion Several SNPs predicting CHD events appear to involve pathways not currently indexed by the established or emerging risk factors; others involved changes in blood lipids including triglycerides or HDL-cholesterol as well as LDL-cholesterol. The overlapping association of SNPs with multiple risk factors and biomarkers supports the existence of shared points of regulation for these phenotypes.
引用
收藏
页码:393 / 407
页数:15
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