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Analysis of protein-coding genetic variation in 60,706 humans

Authors :
Lek, Monkol
Karczewski, Konrad J.
Minikel, Eric V.
Samocha, Kaitlin E.
Banks, Eric
Fennell, Timothy
O’Donnell-Luria, Anne H.
Ware, James S.
Hill, Andrew J.
Cummings, Beryl B.
Tukiainen, Taru
Birnbaum, Daniel P.
Kosmicki, Jack A.
Duncan, Laramie E.
Estrada, Karol
Zhao, Fengmei
Zou, James
Pierce-Hoffman, Emma
Berghout, Joanne
Cooper, David N.
Deflaux, Nicole
DePristo, Mark
Do, Ron
Flannick, Jason
Fromer, Menachem
Gauthier, Laura
Goldstein, Jackie
Gupta, Namrata
Howrigan, Daniel
Kiezun, Adam
Kurki, Mitja I.
Moonshine, Ami Levy
Natarajan, Pradeep
Orozco, Lorena
Peloso, Gina M.
Poplin, Ryan
Rivas, Manuel A.
Ruano-Rubio, Valentin
Rose, Samuel A.
Ruderfer, Douglas M.
Shakir, Khalid
Stenson, Peter D.
Stevens, Christine
Thomas, Brett P.
Tiao, Grace
Tusie-Luna, Maria T.
Weisburd, Ben
Won, Hong-Hee
Yu, Dongmei
Altshuler, David M.
Ardissino, Diego
Boehnke, Michael
Danesh, John
Donnelly, Stacey
Elosua, Roberto
Florez, Jose C.
Gabriel, Stacey B.
Getz, Gad
Glatt, Stephen J.
Hultman, Christina M.
Kathiresan, Sekar
Laakso, Markku
McCarroll, Steven
McCarthy, Mark I.
McGovern, Dermot
McPherson, Ruth
Neale, Benjamin M.
Palotie, Aarno
Purcell, Shaun M.
Saleheen, Danish
Scharf, Jeremiah M.
Sklar, Pamela
Sullivan, Patrick F.
Tuomilehto, Jaakko
Tsuang, Ming T.
Watkins, Hugh C.
Wilson, James G.
Daly, Mark J.
MacArthur, Daniel G.
Source :
Nature; August 2016, Vol. 536 Issue: 7616 p285-291, 7p
Publication Year :
2016

Abstract

Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. Here we describe the aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of predicted protein-truncating variants, with 72% of these genes having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human ‘knockout’ variants in protein-coding genes.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
536
Issue :
7616
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs39846152
Full Text :
https://doi.org/10.1038/nature19057