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Genetics of Blood Lipids Among ~300,000 Multi-Ethnic Participants of the Million Veteran Program

The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of U.S. military veterans. We genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical ph...

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Detalles Bibliográficos
Autores principales: Klarin, Derek, Damrauer, Scott M., Cho, Kelly, Sun, Yan V., Teslovich, Tanya M., Honerlaw, Jacqueline, Gagnon, David R, DuVall, Scott L., Li, Jin, Peloso, Gina M., Chaffin, Mark, Small, Aeron M., Huang, Jie, Tang, Hua, Lynch, Julie A., Ho, Yuk-Lam, Liu, Dajiang J., Emdin, Connor A., Li, Alexander H., Huffman, Jennifer E., Lee, Jennifer S., Natarajan, Pradeep, Chowdhury, Rajiv, Saleheen, Danish, Vujkovic, Marijana, Baras, Aris, Pyarajan, Saiju, Angelantonio, Emanuele Di, Neale, Benjamin M., Naheed, Aliya, Khera, Amit V., Danesh, John, Chang, Kyong-Mi, Abecasis, Gonçalo, Willer, Cristen, Dewey, Frederick E., Carey, David J., Concato, John, Gaziano, J. Michael, O’Donnell, Christopher J., Tsao, Philip S., Kathiresan, Sekar, Rader, Daniel J., Wilson, Peter W.F., Assimes, Themistocles L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521726/
https://www.ncbi.nlm.nih.gov/pubmed/30275531
http://dx.doi.org/10.1038/s41588-018-0222-9
Descripción
Sumario:The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of U.S. military veterans. We genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least 1 blood lipid measurement including 57,332 blacks and 24,743 Hispanics, we tested up to ~32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total N > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes), and PDE3B (triglycerides and coronary disease).