A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes
2012; American Association for the Advancement of Science; Volume: 335; Issue: 6070 Linguagem: Inglês
10.1126/science.1215040
ISSN1095-9203
AutoresDaniel 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, Jeffrey Rosenfeld, Menachem Fromer, Mike Jin, Xinmeng Jasmine Mu, Ekta Khurana, Kai Ye, Mike Kay, Gary Saunders, Marie‐Marthe Suner, Toby Hunt, If Barnes, Clara Amid, Denise Carvalho‐Silva, Alexandra Bignell, Catherine Snow, Bryndís Yngvadóttir, Suzannah Bumpstead, D.N. Cooper, Yali Xue, Irene Gallego Romero, Jun Wang, Yingrui Li, Richard A. Gibbs, Steven A. McCarroll, Emmanouil T. Dermitzakis, Jonathan K. Pritchard, Jeffrey C. Barrett, Jennifer Harrow, Matthew E. Hurles, Mark Gerstein, Chris Tyler‐Smith,
Tópico(s)RNA and protein synthesis mechanisms
ResumoDefective 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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