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September 19 @ 1:00 pm - 2:00 pm
Assistant Professor of Biomedical Informatics, HMS
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.