Title | A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Nikpay, M, Goel, A, Won, H-H, Hall, LM, Willenborg, C, Kanoni, S, Saleheen, D, Kyriakou, T, Nelson, CP, Hopewell, JC, Webb, TR, Zeng, L, Dehghan, A, Alver, M, Armasu, SM, Auro, K, Bjonnes, A, Chasman, DI, Chen, S, Ford, I, Franceschini, N, Gieger, C, Grace, C, Gustafsson, S, Huang, J, Hwang, S-J, Kim, YKyoung, Kleber, ME, Lau, KWai, Lu, X, Lu, Y, Lyytikäinen, L-P, Mihailov, E, Morrison, AC, Pervjakova, N, Qu, L, Rose, LM, Salfati, E, Saxena, R, Scholz, M, Smith, AV, Tikkanen, E, Uitterlinden, A, Yang, X, Zhang, W, Zhao, W, de Andrade, M, de Vries, PS, Van Zuydam, NR, Anand, SS, Bertram, L, Beutner, F, Dedoussis, G, Frossard, P, Gauguier, D, Goodall, AH, Gottesman, O, Haber, M, Han, B-G, Huang, J, Jalilzadeh, S, Kessler, T, König, IR, Lannfelt, L, Lieb, W, Lind, L, Lindgren, CM, Lokki, M-L, Magnusson, PK, Mallick, NH, Mehra, N, Meitinger, T, Memon, F-U-R, Morris, AP, Nieminen, MS, Pedersen, NL, Peters, A, Rallidis, LS, Rasheed, A, Samuel, M, Shah, SH, Sinisalo, J, Stirrups, KE, Trompet, S, Wang, L, Zaman, KS, Ardissino, D, Boerwinkle, E, Borecki, IB, Bottinger, EP, Buring, JE, Chambers, JC, Collins, R, L Cupples, A, Danesh, J, Demuth, I, Elosua, R, Epstein, SE, Esko, T, Feitosa, MF, Franco, OH, Franzosi, MGrazia, Granger, CB, Gu, D, Gudnason, V, Hall, AS, Hamsten, A, Harris, TB, Hazen, SL, Hengstenberg, C, Hofman, A, Ingelsson, E, Iribarren, C, J Jukema, W, Karhunen, PJ, Kim, B-J, Kooner, JS, Kullo, IJ, Lehtimäki, T, Loos, RJF, Melander, O, Metspalu, A, Marz, W, Palmer, CN, Perola, M, Quertermous, T, Rader, DJ, Ridker, PM, Ripatti, S, Roberts, R, Salomaa, V, Sanghera, DK, Schwartz, SM, Seedorf, U, Stewart, AF, Stott, DJ, Thiery, J, Zalloua, PA, O'Donnell, CJ, Reilly, MP, Assimes, TL, Thompson, JR, Erdmann, J, Clarke, R, Watkins, H, Kathiresan, S, McPherson, R, Deloukas, P, Schunkert, H, Samani, NJ, Farrall, M |
Journal | Nat Genet |
Volume | 47 |
Issue | 10 |
Pagination | 1121-1130 |
Date Published | 2015 Oct |
ISSN | 1546-1718 |
Keywords | Coronary Artery Disease, Genome, Human, Genome-Wide Association Study, Humans, Phenotype |
Abstract | Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size. |
DOI | 10.1038/ng.3396 |
Alternate Journal | Nat Genet |
PubMed ID | 26343387 |
PubMed Central ID | PMC4589895 |
Grant List | RG/08/014/24067 / BHF_ / British Heart Foundation / United Kingdom R01 HL127564 / HL / NHLBI NIH HHS / United States R01 DK107437 / DK / NIDDK NIH HHS / United States R33 HL120757 / HL / NHLBI NIH HHS / United States UM1 CA182913 / CA / NCI NIH HHS / United States RG/14/5/30893 / BHF_ / British Heart Foundation / United Kingdom R01 HL117078 / HL / NHLBI NIH HHS / United States MR/L01629X/1 / MRC_ / Medical Research Council / United Kingdom MR/L003120/1 / MRC_ / Medical Research Council / United Kingdom RE/13/1/30181 / BHF_ / British Heart Foundation / United Kingdom R01 DK089256 / DK / NIDDK NIH HHS / United States FS/14/55/30806 / BHF_ / British Heart Foundation / United Kingdom |
A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.
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