统计与数据科学系系列学术报告之四百期

时间：2023年6月19日（周一）15:00-16:00

地点：史带楼301室

主持人：复旦大学管理学院统计与数据科学系戴国榕博士

报告人：王天颖助理教授清华大学统计学研究中心

题目：Integrated Quantile Rank Test for Heterogeneous Genetic Associations

摘要：Gene-trait associations can be complex due to underlying population heterogeneity, gene-environment interactions, and various other reasons. Existing gene-based tests are mean-based, and may miss or underestimate higher-order associations that could be scientifically interesting. In this talk, we will introduce a new family of gene-level association tests that integrate quantile rank score process to better accommodate complex associations. The resulting test statistics have multiple advantages: (1) they are almost as efficient as the best existing tests when the associations are homogeneous across quantile levels and have improved efficiency for complex and heterogeneous associations, (2) they provide useful insights into risk stratification, (3) the test statistics are distribution-free and could hence accommodate a wide range of underlying distributions, and (4) they are computationally efficient. We established the asymptotic properties of the proposed tests under the null and alternative hypotheses and conducted large-scale simulation studies to investigate their finite sample performance. The performance of the proposed approach is compared with that of conventional mean-based tests through simulation studies and applications to a Metabochip dataset on lipid traits, and to the genotype-tissue expression data in GTEx to identify genes whose expression levels are associated with cis-eQTLs.

个人简介：王天颖，清华大学统计学研究中心助理教授。她于2018年获Texas A&M University 统计学博士学位，随后在哥伦比亚大学生物统计系从事博士后研究工作，直至2020年加入清华大学。王天颖博士的研究兴趣包括测量误差分析、分位数回归、高维数据分析，以及统计方法在遗传学和环境科学的应用。