Factors affecting statistical power in the detection of genetic association

被引：92
|
作者：
Gordon, D
Finch, SJ
机构：
[1] Rockefeller Univ, Lab Stat Genet, New York, NY 10021 USA
[2] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
来源：
JOURNAL OF CLINICAL INVESTIGATION | 2005年 / 115卷 / 06期
关键词：
D O I：
10.1172/JCI24756
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.
引用
收藏
页码：1408 / 1418
页数：11
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