Gita A. Pathak

This study identifies 49 CpG sites associated with generalized anxiety disorder across three ancestries but finds limited replication in an independent cohort.

This study identifies shared genetic loci and genes between PTSD and cardiovascular conditions using GWAS across multiple data sources and finds overlapping biological pathways and drug targets.

This study investigates sex differences in the genetic pleiotropy between hearing difficulty and brain imaging-derived phenotypes using large-scale GWAS data and multiple analytical methods.

This study identifies 51 anxiety-associated genetic loci from a multi-ancestry GWAS of 1.2 million participants and highlights genetic correlations with other mental and physical health conditions.

The paper investigates the genetic correlation between schizophrenia and household income, finding no significant effect of socioeconomic status on schizophrenia's pleiotropy with health outcomes.

This study investigates genetic correlations between COVID-19 outcomes and anxiety disorders/symptoms using large-scale genomic datasets, finding bidirectional genetic causality and shared loci related to lung function and brain morphology.

The paper analyzes polygenicity differences across health domains in East Asian and European populations using genome-wide data from multiple cohorts.

The paper analyzes autozygosity trends across three large cohorts, finding a decline over time with country-specific variations and potential socioeconomic factors influencing the trend.

This study identifies 46 genetically correlated traits with ALS using GWAS data and performs causal inference, finding bidirectional genetic effects on several traits.

The paper identifies de novo tandem repeat mutations in UK Biobank exomes and associates them with various phenotypes, finding significant links to health and disease outcomes.

The paper examines how assortative mating, participation bias, and socioeconomic status affect polygenic risk scores for behavioral and psychiatric traits using genetic and demographic data.

This study investigates the genetic and longitudinal relationship between posttraumatic stress disorder and coronary artery disease using genome-wide data and electronic health records.

This study updates the genetic architecture of COVID-19 by adding 11 new genome-wide significant loci through a large GWAS meta-analysis.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This study identifies genetic variants associated with severe COVID-19 and finds shared genetic architecture with complex diseases using EHR data from the Million Veteran Program.

This study identifies 54 risk loci for hearing loss in adults across multiple cohorts, revealing sex differences, ancestry-specific polygenic risks, and interactions with environmental factors like noise and smoking.

This study analyzes ancestry diversity changes in the Million Veteran Program over time and shows that refined ancestry modeling reduces population stratification in GWAS of height.

This paper integrates genetic transcriptomics and electronic health records to show increased hepatic Transthyretin expression is linked to specific surgical procedures and health outcomes like osteoarthritis and carpal tunnel syndrome.

The paper investigates genetic correlations between severe COVID-19 and traits like alcohol use and diabetes in over 1 million participants, showing genetic links and potential causality.

The paper investigates the association between polygenic risk scores for drinking and smoking behaviors and neurodevelopmental outcomes in children and young adults, finding independent effects from psychopathology and substance use.

The paper functionally characterizes the ACE2 gene network to identify potential mechanisms of COVID-19 susceptibility and drug-gene interactions.

The paper investigates how evolutionary processes, including Denisovan and Neanderthal introgression, affect the genetics of complex traits in East Asians using genome-wide association data.

This study identifies 178 independent risk loci for depression through a large meta-analysis across multiple cohorts, including fine-mapping and transcriptome-wide association findings.

This paper identifies associations between NAT2 haplotype variation and simvastatin use, showing NAT2*1 is linked to better response to simvastatin therapy.

The paper identifies shared genetic loci between telomere length and brain morphology, and finds regulatory gene associations in brain transcriptomic and epigenomic profiles.

This study identifies epigenomic changes in African American Transthyretin Val122Ile carriers linked to heart disease and outpatient surgeries, revealing dysregulated amyloid mechanisms.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

Genome-wide association study and integrative analyses identify 27 genes in inflammation and coagulation pathways linked to COVID-19 hospitalization risk and symptomology.

The paper identifies methylation sites associated with hereditary Transthyretin amyloidosis through an epigenome-wide association study.

The paper investigates gene-environment interactions between polysubstance dependence and suicidal behaviors using two cohorts, finding significant associations and gene clusters linked to these interactions.