How next-generation sequencing is transforming complex disease genetics

被引:47
作者
Kilpinen, Helena [1 ,2 ]
Barrett, Jeffrey C. [3 ]
机构
[1] Univ Geneva, Sch Med, Dept Genet Med & Dev, CH-1211 Geneva, Switzerland
[2] Swiss Inst Bioinformat, CH-1211 Geneva, Switzerland
[3] Wellcome Trust Sanger Inst, Dept Human Genet, Hinxton CB10 1HH, England
基金
英国惠康基金;
关键词
next-generation sequencing; complex disease; GWAS; functional genomics; GENOME-WIDE ASSOCIATION; COPY NUMBER VARIATION; DE-NOVO MUTATIONS; MULTIPLE COMMON; RARE VARIANTS; EXPRESSION; DNA; IMPUTATION; IDENTIFICATION; RESOLUTION;
D O I
10.1016/j.tig.2012.10.001
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Progress in understanding the genetics of human disease is closely tied to technological developments in DNA sequencing. Recently, next-generation technology has transformed the scale of sequencing; compared to the methods used in the Human Genome Project, modern sequencers are 50 000-fold faster. Complex disease genetics presents an immediate opportunity to use this technology to move from approaches using only partial information (linkage and genome-wide association studies, GWAS) to complete analysis of the relationship between genomic variation and phenotype. We first describe sequence-based improvements to existing study designs, followed by prioritization of both samples and genomic regions to be sequenced, and then address the ultimate goal of analyzing thousands of whole-genome sequences. Finally, we discuss how the same technology will also fundamentally change the way we understand the biological mechanisms underlying disease associations discovered through sequencing.
引用
收藏
页码:23 / 30
页数:8
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