Srilakshmi M. Raj

FORGEPHAST simulates large synthetic cohorts with controlled genetic and phenotypic properties, showing polygenic risk score performance varies by phenotype architecture, ancestry, and variant coverage.

The paper integrates multi-omic QTLs and predictive models to identify regulatory variants in CD4+ T cells and their role in immune-related GWAS loci.

The paper identifies founder populations in New York City using genomic data and finds 202 likely disease-causing variants enriched in these under-represented groups, many of which are new discoveries.

The paper introduces gaiaAssociation, a tool for Regulatory Landscape Enrichment Analysis (RLEA) to identify cell types mediating phenotypes from GWAS data by testing locus enrichment in cell type-specific open chromatin regions.

The paper reconstructs 9000 years of agricultural diet in Asia and shows its impact on genetic variation in 29 Asian populations, identifying genes related to metabolism as targets of dietary-driven selection.