FARVATX: Family‐Based Rare Variant Association Test for X‐Linked Genes |
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Authors: | Sungkyoung Choi Sungyoung Lee Dandi Qiao Megan Hardin Michael H. Cho Edwin K Silverman Taesung Park Sungho Won |
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Affiliation: | 1. Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea;2. Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America;3. Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America;4. Department of Statistics, Seoul National University, Seoul, Korea;5. Department of Public Health Science, Seoul National University, Seoul, Korea;6. Institute of Health and Environment, Seoul National University, Seoul, Korea |
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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. |
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Keywords: | X chromosome X chromosome inactivation extended families rare variants genetic association analysis |
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