A reference panel of 64,976 haplotypes for genotype imputation
By
Shane McCarthy,
Sayantan Das,
Warren Kretzschmar,
Olivier Delaneau,
Andrew R. Wood,
Alexander Teumer,
Hyun Min Kang,
Christian Fuchsberger,
Petr Danecek,
Kevin Sharp,
Yang Luo,
Carlo Sidore,
Alan Kwong,
Nicholas Timpson,
Seppo Koskinen,
Scott Vrieze,
Laura J Scott,
He Zhang,
Anubha Mahajan,
Jan Veldink,
Ulrike Peters,
Carlos Pato,
Cornelia Van Duijn,
Christopher E Gillies,
Ilaria Gandin,
Massimo Mezzavilla,
Arthur Gilly,
Massimiliano Cocca,
Michela Traglia,
Andrea Angius,
Jeffrey Barrett,
Dorret I. Boomsma,
Kari Branham,
Gerome Breen,
Chad Brummet,
Fabio Busonero,
Hariy Campbell,
Andrew Chan,
Sai Chen,
Emily Chew,
Francis S. Collins,
Laura Corbin,
George Davey Smith,
George Dedoussis,
Marcus Dorr,
Aliki-Eleni Farmaki,
Luigi Ferrucci,
Lukas Forer,
Ross M Fraser,
Stacey Gabriel,
Shawn Levy,
Leif Groop,
Tabitha Harrison,
Andrew Hattersley,
Oddgeir L Holmen,
Kristian Hveem,
M Kretzler,
James Lee,
Matt McGue,
Thomas Meitinger,
David Melzer,
Josine Min,
Karen L. Mohlke,
John Vincent,
Matthias Nauck,
Deborah Nickerson,
Aarno Palotie,
Michele Pato,
Nicola Pirastu,
Melvin Mclnnis,
Brent Richards,
Cinzia Sala,
Veikko Salomaa,
David Schlessinger,
Sebastian Schoenheer,
P. Eline Slagboom,
Kerrin Small,
Timothy Spector,
Dwight Stambolian,
Marcus Tuke,
Jaakko Tuomilehto,
Leonard Van den Berg,
Wouter Van Rheenen,
Uwe Volker,
Cisca Wijmenga,
Daniela Toniolo,
Eleftheria Zeggini,
Paolo Gasparini,
Matthew G. Sampson,
James F Wilson,
Timothy Frayling,
Paul de Bakker,
M. Swertz,
Steven McCarroll,
Charles Kooperberg,
Annelot Dekker,
David Altshuler,
Cristen Wilier,
William Iacono,
Samuli Ripatti,
Nicole Soranzo,
Klaudia Walter,
Anand Swaroop,
Francesco Cucca,
Carl Anderson,
Michael Boehnke,
Mark I McCarthy,
Richard Durbin,
Gonçalo Abecasis,
Jonathan Marchini
Posted 23 Dec 2015
bioRxiv DOI: 10.1101/035170
(published DOI: 10.1038/ng.3643)
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%, a large increase in the number of SNPs tested in association studies and 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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