基因
生物
遗传学
计算生物学
功能(生物学)
损失函数
编码(社会科学)
表型
统计
数学
作者
Daniel G. MacArthur,Suganthi Balasubramanian,Adam Frankish,Ni Huang,James Morris,Klaudia Walter,Luke Jostins,Lukas Habegger,Joseph K. Pickrell,Stephen B. Montgomery,Cornelis A. Albers,Zhengdong D. Zhang,Donald F. Conrad,Gerton A. Lunter,Hancheng Zheng,Qasim Ayub,Mark A. DePristo,Eric Banks,Min Shan Hu,Robert E. Handsaker
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2012-02-16
卷期号:335 (6070): 823-828
被引量:1293
标识
DOI:10.1126/science.1215040
摘要
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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