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
收藏
页码：388 / 397
页数：10
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