세미나 및 초청강연

GWAS of longitudinal trajectories at biobank scale

관리자l 2022-06-08l 조회수 244
일시 : 2022-06-14 14:00 ~ 15:00
연사 : 고세윤 (University of California, Los Angeles)
장소 : 하이브리드 방식 (온·오프라인 동시 진행)
- 오프라인 개최 장소 : 25동 210호
- ZOOM 접속 링크 : 추후 안내




초 록

Biobanks linked to massive, longitudinal electronic health record (EHR) data make numerous new genetic research questions feasible. One among these is the study of biomarker trajectories. Recent research reveals that not only the mean level of biomarker trajectories but also their fluctuations, or within-subject (WS) variability, are risk factors for many diseases. Glycemic variation, for instance, is recently considered an important clinical metric in diabetes management. It is crucial to identify the genetic factors that shift the mean or alter the WS variability of a biomarker trajectory. We propose TrajGWAS, a linear mixed effect model-based method for testing genetic effects that shift the mean or alter the WS variability of a biomarker trajectory. It is scalable to biobank data with 100,000 to 1,000,000 individuals and many longitudinal measurements and robust to distributional assumptions.