Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data

被引:389
作者
Cooper, Gregory M. [1 ]
Shendure, Jay [2 ]
机构
[1] HudsonAlpha Inst Biotechnol, Huntsville, AL 35806 USA
[2] Univ Washington, Dept Genome Sci, Seattle, WA 98115 USA
关键词
TRANSCRIPTION FACTOR-BINDING; SINGLE AMINO-ACID; NONCODING SEQUENCES; GENE-EXPRESSION; MUTATION; CONSTRAINT; EVOLUTION; PREDICTION; ELEMENTS; IDENTIFICATION;
D O I
10.1038/nrg3046
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genome and exome sequencing yield extensive catalogues of human genetic variation. However, pinpointing the few phenotypically causal variants among the many variants present in human genomes remains a major challenge, particularly for rare and complex traits wherein genetic information alone is often insufficient. Here, we review approaches to estimate the deleteriousness of single nucleotide variants (SNVs), which can be used to prioritize disease-causal variants. We describe recent advances in comparative and functional genomics that enable systematic annotation of both coding and non-coding variants. Application and optimization of these methods will be essential to find the genetic answers that sequencing promises to hide in plain sight.
引用
收藏
页码:628 / 640
页数:13
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