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Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions.

Show simple item record de Vries, P. S. Brown, M. R. Bentley, A. R. Sung, Y. J. Winkler, T. W. Ntalla, I. Schwander, K. Kraja, A. T. Guo, X. Franceschini, N. Cheng, C. Y. Sim, X. Vojinovic, D. Huffman, J. E. Musani, S. K. Li, C. Feitosa, M.F. Richard, M.A. Noordam, R. Aschard, H. Bartz, T. M. Bielak, L. F. Deng, X. Dorajoo, R. Lohman, K.K. Manning, A. K. Rankinen, T. Smith, A. V. Tajuddin, S. M. Evangelou, E. Graff, M. Alver, M. Boissel, M. Chai, J. F. Chen, X. Divers, J. Gandin, I. Gao, C. Goel, A. Hagemeijer, Y. Harris, S. E. Hartwig, F. P. He, M. Horimoto, A. R. V. R. Hsu, F. C. Jackson, A. U. Kasturiratne, A. Komulainen, P. Kühnel, B. Laguzzi, F. Lee, J. H. Luan, J. Lyytikäinen, L. P. Matoba, N. Nolte, I. M. Pietzner, M. Riaz, M. Said, M. A. Scott, R. A. Sofer, T. Stancáková, A. Takeuchi, F. Tayo, B. O. van der Most, P. J. Varga, T. V. Wang, Y. Ware, E. B. Wen, W. Yanek, L. R. Zhang, W. Zhao, J. H. Afaq, S. Amin, N. Amini, M. Arking, D. E. Aung, T. Ballantyne, C. Boerwinkle, E. Broeckel, U. Campbell, A. Canouil, M. Charumathi, S. Chen, Y. I. Connell, J. M. de Faire, U. de Las Fuentes, L. de Mutsert, R. de Silva, H.J. Ding, J. Dominiczak, A. F. Duan, Q. Eaton, C. B. Eppinga, R.N. Faul, J. D. Fisher, V. Forrester, T. Franco, O. H. Friedlander, Y. Ghanbari, M. Giulianini, F. Grabe, H. J. Grove, M. L. Gu, C. C. Harris, T. B. Heikkinen, S. Heng, C. K. Hirata, M. Hixson, J. E. Howard, B. V. Ikram, M. A. InterAct Consortium Jr. Jacobs, D. R. Johnson, C. Jonas, J. B. Kammerer, C. M. Katsuya, T. Khor, C. C. Kilpeläinen, T. O. Koh, W. P. Koistinen, H. A. Kolcic, I. Kooperberg, C. Krieger, J. E. Kritchevsky, S. B. Kubo, M. Kuusisto, J. Lakka, T. A. Langefeld, C. D. Langenberg, C. Launer, L. J. Lehne, B. Lemaitre, R. N. Li, Y. Liang, J. Liu, J. Liu, K. Loh, M. Louie, T. Mägi, R. Manichaikul, A. W. McKenzie, C. A. Meitinger, T. Metspalu, A. Milaneschi, Y. Milani, L. Mohlke, K. L. Jr. Mosley, T. H. Nelson, C. P. Mukamal, K. J. Nalls, M. A. Nauck, M. Sotoodehnia, N. O'Connell, J. R. Palmer, N. D. Pazoki, R. Pedersen, N. L. Peters, A. Peyser, P. A. Polasek, O. Poulter, N. Raffel, L. J. Raitakari, O. T. Reiner, A. P. Rice, T. K. Rich, S. S. Robino, A. Robinson, J. G. Rose, L. M. Rudan, I. Schmidt, C. O. Schreiner, P. J. Scott, W. R. Sever, P. Shi, Y. Sidney, S. Sims, M. Smith, B. H. Smith, J. A. Snieder, H. Starr, J. M. Strauch, K. Tan, N. Taylor, K. D. Teo, Y. Y. Tham, Y. C. Uitterlinden, A. G. van Heemst, D. Vuckovic, D. Waldenberger, M. Wang, L. Wang, Y. Wang, Z. Wei, W. B. Williams, C. Sr Wilson, G. Wojczynski, M. K. Yao, J. Yu, B. Yu, C. Yuan, J. M. Zhao, W. Zonderman, A. B. Becker, D. M. Boehnke, M. Bowden, D. W. Chambers, J. C. Deary, I. J. Esko, T. Farrall, M. Franks, P. W. Freedman, B. I. Froguel, P. Gasparini, P. Gieger, C. Horta, B. L. Kamatani, Y. Kato, N. Kooner, J. S. Laakso, M. Leander, K. Lehtimäki, T. Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study) Magnusson, P. K. E. Penninx, B. Pereira, A. C. Rauramaa, R. Samani, N.J. Scott, J. Shu, X. O. van der Harst, P. Wagenknecht, L. E. Wang, Y. X. Wareham, N. J. Watkins, H. Weir, D. R. Wickremasinghe, A.R. Zheng, W. Elliott, P. North, K. E. Bouchard, C. Evans, M. K. Gudnason, V. Liu, C. T. Liu, Y. Psaty, B. M. Ridker, P. M. van Dam, R. M. Kardia, S. L. R. Zhu, X. Rotimi, C. N. Mook-Kanamori, D. O. Fornage, M. Kelly, T. N. Fox, E. R. Hayward, C. van Duijn, C. M. Tai, E. S. Wong, T. Y. Liu, J. Rotter, J. I. Gauderman, W. J. Province, M. A. Munroe, P. B. Rice, K. Chasman, D. I. Cupples, L. A. Rao, D. C. Morrison, A. C. 2019-02-22T07:03:46Z 2019-02-22T07:03:46Z 2019
dc.identifier.citation American Journal of Epidemiology.2019;188(6):1033–1054 en_US
dc.identifier.issn 0002-9262 (Print)
dc.identifier.issn 1476-6256 (Electronic)
dc.description indexed in Medline en_US
dc.description.abstract An individual's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models. en_US
dc.language.iso en en_US
dc.publisher School of Hygiene and Public Health of Johns Hopkins University,Baltimore. en_US
dc.subject Gene-Alcohol interaction en_US
dc.title Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. en_US
dc.type Article en_US

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