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A systematic survey of loss-of-function variants in human protein-coding genes

Authors :
Klaudia Walter
Yali Xue
Jeffrey C. Barrett
Jennifer Harrow
Catherine E. Snow
Mark Gerstein
Ni Huang
Steven A. McCarroll
Jonathan K. Pritchard
Jeffrey A. Rosenfeld
Zhengdong D. Zhang
Hancheng Zheng
Menachem Fromer
Lukas Habegger
Yingrui Li
Mark A. DePristo
If H. A. Barnes
Bryndis Yngvadottir
James Morris
Alexandra Bignell
David Neil Cooper
Gerton Lunter
Ekta Khurana
Stephen B. Montgomery
Richard A. Gibbs
Donald F. Conrad
Emmanouil T. Dermitzakis
Daniel G. MacArthur
Suzannah Bumpstead
Gary Saunders
Kai Ye
Clara Amid
Marie-Marthe Suner
M. Kay
Joseph K. Pickrell
Adam Frankish
Robert E. Handsaker
Suganthi Balasubramanian
Eric Banks
Toby Hunt
Irene Gallego Romero
Cornelis A. Albers
Chris Tyler-Smith
Qasim Ayub
Denise Carvalho-Silva
Matthew E. Hurles
Min Hu
Luke Jostins
Jun Wang
Mike Jin
Xinmeng Jasmine Mu
Source :
Science, 335, 823-8, Science, 335, 6070, pp. 823-8, Science, Science, Vol. 335, No 6070 (2012) pp. 823-8
Publication Year :
2012

Abstract

Defective Gene Detective Identifying genes that give rise to diseases is one of the major goals of sequencing human genomes. However, putative loss-of-function genes, which are often some of the first identified targets of genome and exome sequencing, have often turned out to be sequencing errors rather than true genetic variants. In order to identify the true scope of loss-of-function genes within the human genome, MacArthur et al. (p. 823 ; see the Perspective by Quintana-Murci ) extensively validated the genomes from the 1000 Genomes Project, as well as an additional European individual, and found that the average person has about 100 true loss-of-function alleles of which approximately 20 have two copies within an individual. Because many known disease-causing genes were identified in “normal” individuals, the process of clinical sequencing needs to reassess how to identify likely causative alleles.

Details

ISSN :
00368075
Volume :
335
Database :
OpenAIRE
Journal :
Science
Accession number :
edsair.doi.dedup.....460cbaa54ebd06050cc4afd9908d0a81
Full Text :
https://doi.org/10.1126/science.1215040