A reference panel of 64,976 haplotypes for genotype imputation
McCarthy, Shane; Das, Sayantan; Kretzschmar, Warren; Delaneau, Olivier; Wood, Andrew R; Teumer, Alexander; Kang, Hyun Min; Fuchsberger, Christian; Danecek, Petr; Sharp, Kevin; Luo, Yang; Sidore, Carlo; Kwong, Alan; Timpson, Nicholas; Koskinen, Seppo; Vrieze, Scott; Scott, Laura J; Zhang, He; Mahajan, Anubha; Veldink, Jan; Peters, Ulrike; Pato, Carlos; van Duijn, Cornelia M; Gillies, Christopher E; Gandin, Ilaria; Mezzavilla, Massimo; Gilly, Arthur; Cocca, Massimiliano; Traglia, Michela; Angius, Andrea; Barrett, Jeffrey C; Boomsma, Dorrett; Branham, Kari; Breen, Gerome; Brummett, Chad M; Busonero, Fabio; Campbell, Harry; Chan, Andrew; Chen, Sai; Chew, Emily; Collins, Francis S; Corbin, Laura J; Smith, George Davey; Dedoussis, George; Dorr, Marcus; Farmaki, Aliki-Eleni; Van den Berg, Leonard H; Van Rheenen, Wouter; de Bakker, Paul I W; Dekker, Annelot; Haplotype Reference Consortium
(2016) Nature Genetics, volume 48, pp.
(Letter)
Abstract
We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested
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in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.
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Keywords: Journal Article
ISSN: 1061-4036
Publisher: Nature Publishing Group
(Peer reviewed)