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FARVATX: Family-Based Rare Variant Association Test for X-Linked Genes

Authors :
Dandi Qiao
Sungho Won
Michael H. Cho
Megan Hardin
Edwin K. Silverman
Taesung Park
Sungyoung Lee
Sungkyoung Choi
Source :
Genetic Epidemiology. 40:475-485
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

Although the X chromosome has many genes that are functionally related to human diseases, the complicated biological properties of the X chromosome have prevented efficient genetic association analyses, and only a few significantly associated X-linked variants have been reported for complex traits. For instance, dosage compensation of X-linked genes is often achieved via the inactivation of one allele in each X-linked variant in females; however, some X-linked variants can escape this X chromosome inactivation. Efficient genetic analyses cannot be conducted without prior knowledge about the gene expression process of X-linked variants, and misspecified information can lead to power loss. In this report, we propose new statistical methods for rare X-linked variant genetic association analysis of dichotomous phenotypes with family-based samples. The proposed methods are computationally efficient and can complete X-linked analyses within a few hours. Simulation studies demonstrate the statistical efficiency of the proposed methods, which were then applied to rare-variant association analysis of the X chromosome in chronic obstructive pulmonary disease. Some promising significant X-linked genes were identified, illustrating the practical importance of the proposed methods.

Details

ISSN :
07410395
Volume :
40
Database :
OpenAIRE
Journal :
Genetic Epidemiology
Accession number :
edsair.doi...........0ec86e328fa638852264ccab9cf7d814
Full Text :
https://doi.org/10.1002/gepi.21979