外显子组测序
大规模并行测序
外显子组
生物
遗传学
DNA测序
1000基因组计划
计算生物学
国际人类基因组单体型图计划
基因组学
全基因组关联研究
基因组
人类基因组
单核苷酸多态性
基因
基因型
突变
作者
Sarah Ng,Emily H. Turner,Peggy D. Robertson,Steven Flygare,Abigail W. Bigham,Choli Lee,Tristan Shaffer,Michelle Wong,Arindam Bhattacharjee,Evan E. Eichler,Michael J. Bamshad,Deborah A. Nickerson,Jay Shendure
出处
期刊:Nature
[Springer Nature]
日期:2009-08-16
卷期号:461 (7261): 272-276
被引量:1832
摘要
Genome-wide association studies suggest that common genetic variants explain only a modest fraction of heritable risk for common diseases, raising the question of whether rare variants account for a significant fraction of unexplained heritability. Although DNA sequencing costs have fallen markedly, they remain far from what is necessary for rare and novel variants to be routinely identified at a genome-wide scale in large cohorts. We have therefore sought to develop second-generation methods for targeted sequencing of all protein-coding regions ('exomes'), to reduce costs while enriching for discovery of highly penetrant variants. Here we report on the targeted capture and massively parallel sequencing of the exomes of 12 humans. These include eight HapMap individuals representing three populations, and four unrelated individuals with a rare dominantly inherited disorder, Freeman-Sheldon syndrome (FSS). We demonstrate the sensitive and specific identification of rare and common variants in over 300 megabases of coding sequence. Using FSS as a proof-of-concept, we show that candidate genes for Mendelian disorders can be identified by exome sequencing of a small number of unrelated, affected individuals. This strategy may be extendable to diseases with more complex genetics through larger sample sizes and appropriate weighting of non-synonymous variants by predicted functional impact.
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