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XWAS: A software toolset for genetic data analysis and association studies of the X chromosome

Feng Gao, Diana Chang, Arjun Biddanda, Li Ma, Yingjie Guo, Zilu Zhou, Alon Keinan
doi: https://doi.org/10.1101/009795
Feng Gao
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
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Diana Chang
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
2Program in Computational Biology and Medicine, Cornell University, Ithaca, NY 14853, USA
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Arjun Biddanda
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
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Li Ma
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
3Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20740, USA
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Yingjie Guo
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
4School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
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Zilu Zhou
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
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Alon Keinan
1Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
2Program in Computational Biology and Medicine, Cornell University, Ithaca, NY 14853, USA
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  • For correspondence: ak735@cornell.edu
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Abstract

XWAS is a new software for the analysis of the X chromosome in association studies and similar studies. The X chromosome plays an important role in human disease, especially those with sexually dimorphic characteristics. Special attention needs to be given to its analysis due to the unique inheritance pattern, leading to analytical complications that have resulted in the majority of genome-wide association studies (GWAS) either not considering X or mishandling it with GWAS toolsets that have been designed for non-sex chromosomes.. Hence, XWAS fills the need for tools that are specially designed for analysis of X. Following extensive, stringent, and X-specific quality control, XWAS offers an array of statistical tests of association, including: (1) the standard test between a SNP (single nucleotide polymorphism) and disease risk, including after first stratifying individuals by sex, (2) a test for a differential effect of a SNP on disease between males and females, (3) motivated by X-inactivation, a test for higher variance of a trait in heterozygous females as compared to homozygous females, and (4) for all tests, a version that allows for combining evidence across all SNPs in a whole gene. We applied the toolset analysis pipeline to 16 GWAS datasets of immune-related disorders and to 7 risk factors of coronary artery disease, and discovered several new X-linked genetic associations. XWAS will provide the tools and incentive for others to incorporate the X chromosome into GWAS, hence enabling discoveries of novel loci implicated in many diseases and in their sexual dimorphism.

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Posted April 01, 2015.
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XWAS: A software toolset for genetic data analysis and association studies of the X chromosome
Feng Gao, Diana Chang, Arjun Biddanda, Li Ma, Yingjie Guo, Zilu Zhou, Alon Keinan
bioRxiv 009795; doi: https://doi.org/10.1101/009795
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XWAS: A software toolset for genetic data analysis and association studies of the X chromosome
Feng Gao, Diana Chang, Arjun Biddanda, Li Ma, Yingjie Guo, Zilu Zhou, Alon Keinan
bioRxiv 009795; doi: https://doi.org/10.1101/009795

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