文章基本信息

标题：Measuring shared variants in cohorts of discordant siblings with applications to autism
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作者：Kenny Ye ; Ivan Iossifov ; Dan Levy 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2017
卷号：114
期号：27
页码：7073-7076
DOI：10.1073/pnas.1700439114
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：We develop a method of analysis [affected to discordant sibling pairs (A2DS)] that tests if shared variants contribute to a disorder. Using a standard measure of genetic relation, test individuals are compared with a cohort of discordant sibling pairs (CDS) to derive a comparative similarity score. We ask if a test individual is more similar to an unrelated affected than to the unrelated unaffected sibling from the CDS and then, sum over such individuals and pairs. Statistical significance is judged by randomly permuting the affected status in the CDS. In the analysis of published genotype data from the Simons Simplex Collection (SSC) and the Autism Genetic Resource Exchange (AGRE) cohorts of children with autism spectrum disorder (ASD), we find strong statistical significance that the affected are more similar to the affected than to the unaffected of the CDS ( P value ∼ 0.00001). Fathers in multiplex families have marginally greater similarity ( P value = 0.02) to unrelated affected individuals. These results do not depend on ethnic matching or gender.
关键词：shared variants ; autism ; discordant siblings