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题目：TEMR: Trans-ethnic mendelian randomization method using large scale GWAS summary datasets
报告人：李洪凯 山东大学
简介：A noteworthy challenge surfaces as the bulk of available large-scale datasets predominantly stem from European populations, while sample sizes for other ethnicities, notably Central/South Asian, East Asian, African, Hispanic, etc. remain comparatively limited. This induces the limited accuracy and statistical power of Mendelian Randomization (MR) in estimating causal effects within these ethnicities. In this paper, we propose a Trans-ethnic Population MR method called MRTP to improve statistical power and estimation accuracy of MR in non-European population only using trans-ethnic large-scale GWAS summary dataset. Under the framework of joint likelihood-based inference framework, MRTP bridges the causal effects of different ethnics using a trans-ethnic genetic correlation coefficient. In the simulation study, MRTP showed superior precision and power of causal effect estimation in the target population relative to other published MR methods. Finally, we apply MRTP to infer causal relationships of 55 biomarkers and 10 diseases using GWAS summary data from four ethnics including European (UKB), East Asian (BBJ), African population (Pan-UKB) and Hispanic population (GWAS Catalog).
报告人简介：山东大学健康医疗大数据研究院研究员，生物统计学系副主任，国家健康医疗大数据研究院大数据因果推断中心主任。兼任中国现场统计研究会因果推断分会常务理事，中国工业统计教学研究会健康医疗大数据学会理事，山东省医防信息融合和管理委员会副主任委员，山东省卒中预防与控制委员会常委，山东省脑胶质瘤多学科联合委员会委员等。主持国家自然科学基金和科技部重大专项子课题等7项国家级和省部级课题。在数理统计和统计遗传学杂志AJHG, BIB, Plos Genet, SMMR, Statistics in Medicine，AJE发表因果推断方法和应用文章50余篇。主要研究方向包括基于因果推断的统计遗传学方法，深度因果推断方法。
报告时间：2025年4月18日 16：30-167：30
报告地点：文渊楼 B408
主办单位：数学与统计学院
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