PQG Seminar Series

The goal of the PQG Seminar Series is to encourage the exchanging of ideas and promote interaction, collaboration, and research in quantitative genomics. It seeks to further the development and application of quantitative methods, especially for high dimensional data, as well as focus on the training of quantitative genomic scientists.

2023/2024 Seminar Organizers: Luca Pinello and Wei Zhou

Please direct any logistical questions to Amanda King

All PQG seminar meetings for the semester will be held in person unless otherwise noted.

Upcoming Seminar

Tuesday, December 5, 2023
1:00-2:00 PM
Updated location: FXB G11

Shamil Sunyaev

Professor of Biomedical Informatics, Harvard Medical School
Professor of Medicine, Brigham and Women’s Hospital

The puzzling variation of complex traits

2022-2023 Dates

September 19, 2023 - Luke O'Connor, Broad Institute

Luke O’Connor

Associate Member
Broad Institute

Graphical models of linkage disequilibrium and applications

Linkage disequilibrium graphical models (LDGMs) are an efficient new approach to model LD, with promising applications in GWAS. They give rise to a very sparse precision matrix whose inverse closely approximates the LD correlation matrix. My talk will cover what LDGMs are, how they are inferred, and why they are useful. Then I will discuss two applications, to polygenic risk prediction and heritability partitioning with GWAS summary statistics.