9月6日张彦(美国约翰霍普金斯大学)报告

发布者:周晓英发布时间:2018-07-09浏览次数:1301



统计与数据科学学院



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             学术讲座



讲座题目:Estimation of Complex Effect-size Distributions Using Summary-level Statistics from Genome-wide Association Studies


讲 座 人:张彦

美国约翰霍普金斯大学


时间: 96日下午2:00

地点:统计与数据科学学院426教室


摘要: Summary-level statistics from genome-wide association studies are now widely used to estimate heritability and co-heritability of traits using the popular linkage-disequilibrium-score (LD-score) regression method. We develop a likelihood-based approach for analyzing summary-level statistics and external LD information to estimate common variants effect-size distributions, characterized by proportion of underlying susceptibility SNPs and a flexible normal-mixture model for their effects. We apply the proposed method to analyze the summary-level results across 32 GWAS; the results indicate a wide diversity in the degree of polygenicity.


邀 请 人:邹长亮 教授


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统计与数据科学学院

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