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

Authors :
Jack A. Kosmicki
Mark A. DePristo
Mark I. McCarthy
Patrick F. Sullivan
Laramie E. Duncan
Ryan Poplin
David Neil Cooper
Mitja I. Kurki
Aarno Palotie
Hong-Hee Won
Dermot P.B. McGovern
John Danesh
Jose C. Florez
Grace Tiao
Anne H. O’Donnell-Luria
Timothy Fennell
Gad Getz
Douglas M. Ruderfer
Joanne Berghout
Mark J. Daly
Monkol Lek
Daniel P. Howrigan
Stacey Gabriel
Daniel P. Birnbaum
Ami Levy Moonshine
Michael Boehnke
Ben Weisburd
Ruth McPherson
Christine Stevens
Dongmei Yu
Sekar Kathiresan
Andrew J. Hill
James G. Wilson
James S. Ware
Hugh Watkins
Benjamin M. Neale
Khalid Shakir
David Altshuler
María Teresa Tusié-Luna
Lorena Orozco
James Zou
Samuel A. Rose
Menachem Fromer
Jeremiah M. Scharf
Daniel G. MacArthur
Namrata Gupta
Pamela Sklar
Eric Vallabh Minikel
Steven A. McCarroll
Jaakko Tuomilehto
Jackie Goldstein
Ming T. Tsuang
Stacey Donnelly
Konrad J. Karczewski
Fengmei Zhao
Stephen J. Glatt
Ron Do
Nicole A. Deflaux
Adam Kiezun
Emma Pierce-Hoffman
Markku Laakso
Beryl B. Cummings
Pradeep Natarajan
Danish Saleheen
Karol Estrada
Peter D. Stenson
Manuel A. Rivas
Diego Ardissino
Kaitlin E. Samocha
Gina M. Peloso
Laura D. Gauthier
Eric Banks
Brett Thomas
Shaun Purcell
Taru Tukiainen
Valentin Ruano-Rubio
Christina M. Hultman
Jason Flannick
Roberto Elosua
Complex Trait Genetics
Amsterdam Neuroscience - Complex Trait Genetics
Institute for Molecular Medicine Finland
Aarno Palotie / Principal Investigator
Jaakko Tuomilehto Research Group
Department of Public Health
Clinicum
Genomics of Neurological and Neuropsychiatric Disorders
Danesh, John [0000-0003-1158-6791]
Apollo - University of Cambridge Repository
Wellcome Trust
The Academy of Medical Sciences
Source :
Lek, M, Karczewski, K J, Minikel, E V, Samocha, K E, Posthuma, D & Exome Aggregation Consortium, U 2016, ' Analysis of protein-coding genetic variation in 60,706 humans ', Nature, vol. 536, no. 7616, pp. 285-291 . https://doi.org/10.1038/nature19057, Nature, 536(7616), 285-291. Nature Publishing Group, Nature, vol 536, iss 7616
Publication Year :
2016
Publisher :
Nature Publishing Group, 2016.

Abstract

SummaryLarge-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) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). The resulting 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 show that this catalogue can be used to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; we identify 3,230 genes with near-complete depletion of truncating variants, 72% of which have 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
Database :
OpenAIRE
Journal :
Lek, M, Karczewski, K J, Minikel, E V, Samocha, K E, Posthuma, D & Exome Aggregation Consortium, U 2016, ' Analysis of protein-coding genetic variation in 60,706 humans ', Nature, vol. 536, no. 7616, pp. 285-291 . https://doi.org/10.1038/nature19057, Nature, 536(7616), 285-291. Nature Publishing Group, Nature, vol 536, iss 7616
Accession number :
edsair.doi.dedup.....d62da66cab8b3012619459d5ee3a67d5