Hilary K Finucane

This study connects schizophrenia GWAS findings to specific genes, tissues, and regulatory mechanisms through transcriptome-wide and chromatin activity analyses.

This paper introduces Eagle2, a reference-based phasing algorithm that improves accuracy and speed compared to SHAPEIT2 using the Haplotype Reference Consortium panel.

This study investigates whether immune gene variation contributes to schizophrenia by analyzing genome-wide association data, finding limited immune gene enrichment beyond the MHC region compared to five autoimmune diseases.

The paper estimates genetic correlations between 25 traits using GWAS summary statistics, identifying correlations like anorexia nervosa with schizophrenia and educational attainment with diseases.

The paper analyzes the genetic architecture of schizophrenia and nine complex diseases using a fast variance components analysis, finding polygenic patterns and significant genetic correlations.

BOLT-LMM improves genetic association power in large cohorts by using a Bayesian mixture prior to model non-infinitesimal genetic architectures more realistically.