Gleb Kichaev

The paper estimates population-specific and shared causal SNPs from GWAS summary data across East Asian and European populations and finds shared SNPs are enriched in functional categories.

The paper constructs cell-type-specific TF binding annotations by combining sequence-based predictions with chromatin data, showing increased heritability enrichment for 49 diseases.

This paper introduces a probabilistic framework to fine-map transcriptome-wide association study signals, prioritizing causal genes while accounting for linkage disequilibrium and pleiotropy.

This paper introduces a method to enhance GWAS power by incorporating functional annotations, resulting in increased detection of genome-wide significant loci.

The paper quantifies the overlap between GWAS genes for 62 complex traits and Mendelian disorder genes, finding significant enrichment and elevated effect sizes for phenotypically-matched genes.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

The paper introduces a faster version of BOLT-LMM for GWAS on large biobank datasets, showing increased power and detecting more loci for height and other traits.

The paper develops a method to infer allelic heterogeneity in GWAS and eQTL datasets, identifying 4152 loci with strong evidence of AH across different traits.

This paper introduces fastPAINTOR, a method that improves fine-mapping accuracy at pleiotropic risk loci by integrating functional annotations and multi-trait data, reducing the number of SNPs needed for follow-up.

This study estimates local heritability from GWAS summary data for 30 traits, finding common SNPs contribute broadly, some traits have concentrated heritability, and some loci explain heritability across multiple traits.

This paper improves causal variant identification in exome sequencing for monogenic disorders by incorporating ancestry information to reduce false negatives and improve variant filtering.