The Role of Family-Based Designs in Genome-Wide Association Studies

被引：19

作者：

Laird, Nan M. ^{[1
]}

Lange, Christoph ^{[1
]}

机构：

[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

来源：

STATISTICAL SCIENCE | 2009年 / 24卷 / 04期

关键词：

Genetic association; TDT; FBAT; PBAT; two-stage designs; GENETIC-ASSOCIATION; GENOTYPING ERRORS; TRANSMISSION/DISEQUILIBRIUM TEST; LINKAGE DISEQUILIBRIUM; GENERAL-CLASS; TESTS; POWER; TRANSMISSION; INFORMATION; TRAITS;

D O I：

10.1214/08-STS280

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Genome-Wide Association Studies (GWAS) offer an exciting and promising new research avenue for finding genes for complex diseases. Traditional case-control and cohort studies offer many advantages for such designs. Family-based association designs have long been attractive for their robustness properties, but robustness can mean a loss of power. In this paper we discuss some of the special features of family designs and their relevance in the era of GWAS.

引用

页码：388 / 397

页数：10

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