Gamma Mixed Model to Improve Sib-Pair Linkage Analysis

被引：0

作者：

Kim, Jeonghwan ^{[1
]}

Suh, Young Ju ^{[2
]}

Won, Sungho ^{[3
]}

Nah, Jeung Weon ^{[4
]}

Lee, Woojoo ^{[1
]}

机构：

[1] Inha Univ, Dept Stat, 235 Yonghyun Dong, Incheon 402751, South Korea

[2] Inha Univ, Dept Biomed Sci, Coll Med, Incheon, South Korea

[3] Seoul Natl Univ, Dept Publ Hlth Sci, Seoul, South Korea

[4] Korea Univ, Dept Biostat, Coll Med, Seoul, South Korea

来源：

KOREAN JOURNAL OF APPLIED STATISTICS | 2015年 / 28卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Linkage analysis; gamma mixed model; identity link; hierarchical generalized linear model;

D O I：

10.5351/KJAS.2015.28.2.221

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：

Traditionally, sib-pair linkage analysis with repeated measures has employed linear mixed models, but it suffers from the lack of power to find genetic marker loci associated with a phenotype of interest. In this paper, we use a gamma mixed model to improve sib-pair linkage analysis and compare it with a linear mixed model in terms of power and Type I error. We illustrate that the use of gamma mixed model can achieve higher power than linear mixed model with Genetic Analysis Workshop 13 data.

引用

页码：221 / 230

页数：10

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