A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

Daniel G. MacArthur(The University of Sydney), Suganthi Balasubramanian(Yale University), Adam Frankish(Wellcome Sanger Institute), Ni Huang(Wellcome Sanger Institute), James Morris(Wellcome Sanger Institute), Klaudia Walter(Wellcome Sanger Institute), Luke Jostins(Wellcome Sanger Institute), Lukas Habegger(Yale University), Joseph K. Pickrell(University of Chicago), Stephen B. Montgomery(University of Geneva), Cornelis A. Albers(NHS Blood and Transplant), Zhengdong D. Zhang(Albert Einstein College of Medicine), Donald F. Conrad(Washington University in St. Louis), Gerton Lunter(Centre for Human Genetics), Hancheng Zheng(BGI Group (China)), Qasim Ayub(Wellcome Sanger Institute), Mark A. DePristo(Broad Institute), Eric Banks(Broad Institute), Min Hu(Wellcome Sanger Institute), Robert E. Handsaker(Broad Institute), Jeffrey Rosenfeld, Menachem Fromer(Broad Institute), Mike Jin(Yale University), Xinmeng Jasmine Mu(Yale University), Ekta Khurana(Yale University), Kai Ye(Leiden University Medical Center), Mike Kay(Wellcome Sanger Institute), Gary Saunders(Wellcome Sanger Institute), Marie‐Marthe Suner(Wellcome Sanger Institute), Toby Hunt(Wellcome Sanger Institute), If Barnes(Wellcome Sanger Institute), Clara Amid(European Bioinformatics Institute), Denise Carvalho‐Silva(Wellcome Sanger Institute), Alexandra Bignell(Wellcome Sanger Institute), Catherine Snow(Wellcome Sanger Institute), Bryndís Yngvadóttir(Wellcome Sanger Institute), Suzannah Bumpstead(Wellcome Sanger Institute), D.N. Cooper(Cardiff University), Yali Xue(Wellcome Sanger Institute), Irene Gallego Romero(Wellcome Sanger Institute), Jun Wang(BGI Group (China)), Yingrui Li(BGI Group (China)), Richard A. Gibbs(Baylor College of Medicine), Steven A. McCarroll(Broad Institute), Emmanouil T. Dermitzakis(University of Geneva), Jonathan K. Pritchard(Howard Hughes Medical Institute), Jeffrey C. Barrett(Wellcome Sanger Institute), Jennifer Harrow(Wellcome Sanger Institute), Matthew E. Hurles(Wellcome Sanger Institute), Mark Gerstein(Yale University), Chris Tyler‐Smith(Wellcome Sanger Institute)
Science
February 16, 2012
Cited by 1,323Open Access
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Abstract

Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease-causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.


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