Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.
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DOI:
10.1038/s41588-018-0222-9
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发表时间:
2018-11
期刊:
影响因子:
30.8
通讯作者:
Assimes TL
中科院分区:
文献类型:
--
作者:
Klarin D;Damrauer SM;Cho K;Sun YV;Teslovich TM;Honerlaw J;Gagnon DR;DuVall SL;Li J;Peloso GM;Chaffin M;Small AM;Huang J;Tang H;Lynch JA;Ho YL;Liu DJ;Emdin CA;Li AH;Huffman JE;Lee JS;Natarajan P;Chowdhury R;Saleheen D;Vujkovic M;Baras A;Pyarajan S;Di Angelantonio E;Neale BM;Naheed A;Khera AV;Danesh J;Chang KM;Abecasis G;Willer C;Dewey FE;Carey DJ;Global Lipids Genetics Consortium;Myocardial Infarction Genetics (MIGen) Consortium;Geisinger-Regeneron DiscovEHR Collaboration;VA Million Veteran Program;Concato J;Gaziano JM;O'Donnell CJ;Tsao PS;Kathiresan S;Rader DJ;Wilson PWF;Assimes TL
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).
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影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
46.9
作者:
通讯作者:
--
影响因子:
24
作者:
Harrison SC;Holmes MV;Burgess S;Asselbergs FW;Jones GT;Baas AF;van 't Hof FN;de Bakker PIW;Blankensteijn JD;Powell JT;Saratzis A;de Borst GJ;Swerdlow DI;van der Graaf Y;van Rij AM;Carey DJ;Elmore JR;Tromp G;Kuivaniemi H;Sayers RD;Samani NJ;Bown MJ;Humphries SE
通讯作者:
Humphries SE
影响因子:
4.6
作者:
Below JE;Parra EJ;Gamazon ER;Torres J;Krithika S;Candille S;Lu Y;Manichakul A;Peralta-Romero J;Duan Q;Li Y;Morris AP;Gottesman O;Bottinger E;Wang XQ;Taylor KD;Ida Chen YD;Rotter JI;Rich SS;Loos RJ;Tang H;Cox NJ;Cruz M;Hanis CL;Valladares-Salgado A
通讯作者:
Valladares-Salgado A
影响因子:
4.5
作者:
Chasman DI;Paré G;Mora S;Hopewell JC;Peloso G;Clarke R;Cupples LA;Hamsten A;Kathiresan S;Mälarstig A;Ordovas JM;Ripatti S;Parker AN;Miletich JP;Ridker PM
通讯作者:
Ridker PM