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 Lunter,Hancheng Zheng,Qasim Ayub,Mark A. DePristo,Eric Banks,Min 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:1277
标识
DOI:10.1126/science.1215040
摘要
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.
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