Statistical analysis strategies for association studies involving rare variants

被引:326
作者
Bansal, Vikas [1 ]
Libiger, Ondrej [1 ,2 ,3 ]
Torkamani, Ali [1 ,2 ]
Schork, Nicholas J. [1 ,2 ]
机构
[1] Scripps Translat Sci Inst, La Jolla, CA 92037 USA
[2] Scripps Res Inst, Dept Mol & Expt Med, La Jolla, CA 92037 USA
[3] Charles Univ Prague, Lekarska Fak Hradci Kralove, Fac Med Hradec Kralove, CZ-50038 Hradec Kralove 1, Czech Republic
关键词
GENOME-WIDE ASSOCIATION; LINKAGE DISEQUILIBRIUM; GENETIC-ASSOCIATION; DISEASE ASSOCIATION; SEQUENCE VARIATIONS; COMMON DISEASES; COMPLEX TRAITS; PLASMA-LEVELS; SUSCEPTIBILITY; IDENTIFICATION;
D O I
10.1038/nrg2867
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The limitations of genome-wide association (GWA) studies that focus on the phenotypic influence of common genetic variants have motivated human geneticists to consider the contribution of rare variants to phenotypic expression. The increasing availability of high-throughput sequencing technologies has enabled studies of rare variants but these methods will not be sufficient for their success as appropriate analytical methods are also needed. We consider data analysis approaches to testing associations between a phenotype and collections of rare variants in a defined genomic region or set of regions. Ultimately, although a wide variety of analytical approaches exist, more work is needed to refine them and determine their properties and power in different contexts.
引用
收藏
页码:773 / 785
页数:13
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