Unknown

Dataset Information

0

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


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.

SUBMITTER: MacArthur DG 

PROVIDER: S-EPMC3299548 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

MacArthur Daniel G DG   Balasubramanian Suganthi S   Frankish Adam A   Huang Ni N   Morris James J   Walter Klaudia K   Jostins Luke L   Habegger Lukas L   Pickrell Joseph K JK   Montgomery Stephen B SB   Albers Cornelis A CA   Zhang Zhengdong D ZD   Conrad Donald F DF   Lunter Gerton G   Zheng Hancheng H   Ayub Qasim Q   DePristo Mark A MA   Banks Eric E   Hu Min M   Handsaker Robert E RE   Rosenfeld Jeffrey A JA   Fromer Menachem M   Jin Mike M   Mu Xinmeng Jasmine XJ   Khurana Ekta E   Ye Kai K   Kay Mike M   Saunders Gary Ian GI   Suner Marie-Marthe MM   Hunt Toby T   Barnes If H A IH   Amid Clara C   Carvalho-Silva Denise R DR   Bignell Alexandra H AH   Snow Catherine C   Yngvadottir Bryndis B   Bumpstead Suzannah S   Cooper David N DN   Xue Yali Y   Romero Irene Gallego IG   Wang Jun J   Wang Jun J   Li Yingrui Y   Gibbs Richard A RA   McCarroll Steven A SA   Dermitzakis Emmanouil T ET   Pritchard Jonathan K JK   Barrett Jeffrey C JC   Harrow Jennifer J   Hurles Matthew E ME   Gerstein Mark B MB   Tyler-Smith Chris C  

Science (New York, N.Y.) 20120201 6070


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 L  ...[more]

Similar Datasets

| S-EPMC5575292 | biostudies-literature
| S-EPMC6161691 | biostudies-literature
| S-EPMC5560754 | biostudies-literature
| S-EPMC3551959 | biostudies-literature
| S-EPMC5007069 | biostudies-literature
| S-EPMC6664818 | biostudies-literature
| S-EPMC7868373 | biostudies-literature
| S-EPMC3213175 | biostudies-literature