Gaurav Bhatia

Leveraging polygenic functional enrichment to improve GWAS power

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

Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk

The paper introduces a method to detect directional effects of transcription factor binding on disease risk using GWAS data and applies it to identify new causal genes and mechanisms.

Quantitative analysis of population-scale family trees using millions of relatives

The paper creates a population-scale family tree resource using crowd-sourced genealogy data to study genetic architecture and family dispersion.

Correcting subtle stratification in summary association statistics

This paper introduces PC loading regression to correct population stratification in GWAS summary statistics, showing it reduces LDSC intercept inflation in traits like height and eye color.

Subtle stratification confounds estimates of heritability from rare variants

This study shows that subtle population stratification can confound heritability estimates from rare variants, even after standard corrections, suggesting the need for better stratification control in genetic studies.

Functional partitioning of local and distal gene expression regulation in multiple human tissues

This study partitions the heritability of local and distal gene expression regulation across 15 human tissues, identifying enriched functional categories and tissue-specific patterns.

Fast principal components analysis reveals convergent evolution of ADH1B gene in Europe and East Asia

The paper introduces FastPCA, a method for detecting natural selection by analyzing principal components, and identifies new selection signals including ADH1B in Europeans and East Asians.

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

Integrative approaches for large-scale transcriptome-wide association studies

The paper integrates gene expression and GWAS data to identify novel genes associated with obesity-related traits.

Haplotypes of common SNPs can explain missing heritability of complex diseases

The paper shows that haplotypes of common SNPs explain more heritability of complex diseases than individual SNPs alone.

Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis

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.