On an extended interpretation of linkage disequilibrium in genetic case-control association studies

被引：3
|
作者：
Dickhaus, Thorsten [1 ]
Stange, Jens [2 ]
Demirhan, Haydar [3 ]
机构：
[1] Univ Bremen, Inst Stat, D-28344 Bremen, Germany
[2] Weierstrass Inst Appl Anal & Stochast, Berlin, Germany
[3] Hacettepe Univ, Dept Stat, Ankara, Turkey
来源：
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY | 2015年 / 14卷 / 05期
关键词：
asymptotic Gaussianity; chi-squared statistic; Cochran-Armitage trend test; contingency table; correlation structure; Delta method; Fisher's exact test; odds ratio; LOG-ODDS RATIOS; HUMAN GENOME; COVARIANCE; MAP;
D O I：
10.1515/sagmb-2015-0024
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
We are concerned with statistical inference for 2xCxK contingency tables in the context of genetic case-control association studies. Multivariate methods based on asymptotic Gaussianity of vectors of test statistics require information about the asymptotic correlation structure among these test statistics under the global null hypothesis. In the case of C=2, we show that for a wide variety of test statistics this asymptotic correlation structure is given by the standardized linkage disequilibrium matrix of the K loci under investigation. Three popular choices of test statistics are discussed for illustration. In the case of C=3, the standardized composite linkage disequilibrium matrix is the limiting correlation matrix of the K locus-specific Cochran-Armitage trend test statistics.
引用
收藏
页码：497 / 505
页数：9
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