4.3 Article

X-Chromosome Genetic Association Test Accounting for X-Inactivation, Skewed X-Inactivation, and Escape from X-Inactivation

期刊

GENETIC EPIDEMIOLOGY
卷 38, 期 6, 页码 483-493

出版社

WILEY
DOI: 10.1002/gepi.21814

关键词

X-chromosome; X-chromosome inactivation; skewness; escape from X-chromosome inactivation; SNP; genome-wide association study; likelihood ratio

资金

  1. National Institutes of Health [1R01CA131324, R01DE022891, R25DA026120]
  2. University of Texas MD Anderson Cancer Center Duncan Family Institute for Cancer Prevention and Risk Assessment
  3. NIH Genes, Environment and Health Initiative (GEI) [U01 HG004422]
  4. Gene Environment Association Studies (GENEVA) under GEI
  5. NIH GEI [U01HG004438]
  6. National Institute on Alcohol Abuse and Alcoholism
  7. National Institute on Drug Abuse
  8. NIH [HHSN268200782096C]

向作者/读者索取更多资源

X-chromosome inactivation (XCI) is the process in which one of the two copies of the X-chromosome in females is randomly inactivated to achieve the dosage compensation of X-linked genes between males and females. That is, 50% of the cells have one allele inactive and the other 50% of the cells have the other allele inactive. However, studies have shown that skewed or nonrandom XCI is a biological plausibility wherein more than 75% of cells have the same allele inactive. Also, some of the X-chromosome genes escape XCI, i.e., both alleles are active in all cells. Current statistical tests for X-chromosome association studies can either account for random XCI (e. g., Clayton's approach) or escape from XCI (e. g., PLINK software). Because the true XCI process is unknown and differs across different regions on the X-chromosome, we proposed a unified approach of maximizing likelihood ratio over all biological possibilities: random XCI, skewed XCI, and escape from XCI. A permutation-based procedure was developed to assess the significance of the approach. We conducted simulation studies to compare the performance of the proposed approach with Clayton's approach and PLINK regression. The results showed that the proposed approach has higher powers in the scenarios where XCI is skewed while losing some power in scenarios where XCI is random or XCI is escaped, with well-controlled type I errors. We also applied the approach to the X-chromosomal genetic association study of head and neck cancer. (C) 2014 Wiley Periodicals, Inc.

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。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据