期刊
GENETIC EPIDEMIOLOGY
卷 37, 期 1, 页码 122-129出版社
WILEY-BLACKWELL
DOI: 10.1002/gepi.21688
关键词
substance dependence; multiple traits; gene-based association test; generalized Kendall's tau
资金
- National Institute on Drug Abuse [R01 DA016750-09]
- NIH Genes, Environment and Health Initiative [GEI] [U01 HG004422, U01HG004438]
- GENEVA Coordinating Center [U01 HG004446]
- Collaborative Study on the Genetics of Alcoholism [U10 AA008401]
- Collaborative Genetic Study of Nicotine Dependence [P01 CA089392]
- Family Study of Cocaine Dependence [R01 DA013423]
- National Institute on Alcohol Abuse and Alcoholism
- National Institute on Drug Abuse
- NIH [HHSN268200782096C]
- GWASs as part of the Gene Environment Association Studies (GENEVA) under GEI
- NIH GEI [U01HG004438]
Genome-wide association studies (GWASs) at the gene level are commonly used to understand biological mechanisms underlying complex diseases. In general, one response or outcome is used to present a disease of interest in such studies. In this study, we consider a multiple traits association test from the gene level. We propose and examine a class of test statistics that summarizes the association information between single nucleotide polymorphisms (SNPs) and each of the traits. Our simulation studies demonstrate the advantage of gene-based multiple traits association tests when multiple traits share common genes. Using our proposed tests, we reanalyze the dataset from the Study of Addiction: Genetics and Environment (SAGE). Our result validates previous findings while presenting stronger evidence for consideration of multiple traits.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据