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FARVATX: Family-based rare variant association test for X-linked genes

Cited 3 time in Web of Science Cited 4 time in Scopus
Authors

Choi, Sungkyoung; Lee, Sungyoung; Qiao, Dandi; Hardin, Megan; Cho, Michael H.; Silverman, Edwin K.; Park, Taesung; Won, Sungho

Issue Date
2016-09
Publisher
John Wiley & Sons Inc.
Citation
Genetic Epidemiology, Vol.40 No.6, pp.475-485
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. (C) 2016 Wiley Periodicals, Inc.
ISSN
0741-0395
URI
https://hdl.handle.net/10371/191149
DOI
https://doi.org/10.1002/gepi.21979
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