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Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
- Source :
-
Nature genetics [Nat Genet] 2018 Nov; Vol. 50 (11), pp. 1514-1523. Date of Electronic Publication: 2018 Oct 01. - Publication Year :
- 2018
-
Abstract
- The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here 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 one blood lipid measurement, including 57,332 black and 24,743 Hispanic participants, we tested up to around 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 nā>ā600,000). 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).
- Subjects :
- Aged
Black People genetics
Black People statistics & numerical data
Cardiovascular Diseases blood
Cardiovascular Diseases ethnology
Cardiovascular Diseases genetics
Diabetes Mellitus, Type 2 blood
Diabetes Mellitus, Type 2 ethnology
Diabetes Mellitus, Type 2 genetics
Ethnicity statistics & numerical data
Female
Genome-Wide Association Study
Genotype
Hispanic or Latino genetics
Hispanic or Latino statistics & numerical data
Humans
Male
Middle Aged
Polymorphism, Single Nucleotide
White People genetics
White People statistics & numerical data
Ethnicity genetics
Lipid Metabolism genetics
Lipids blood
Veterans statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1718
- Volume :
- 50
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Nature genetics
- Publication Type :
- Academic Journal
- Accession number :
- 30275531
- Full Text :
- https://doi.org/10.1038/s41588-018-0222-9