Lea Karatheodoris Davis

The paper identifies sex-specific genetic loci for clinical traits using EHR data, finding that differential effect magnitudes, not opposing effects, dominate sex-specific genetic architecture.

The paper develops a scalable framework to generate harmonized mtDNA datasets from existing sequencing data across biobanks, enabling population-scale mitochondrial genomics without new sequencing.

This study identifies sex-specific genetic loci and correlations for alcohol use behaviors and their comorbidities using genome-wide association studies.

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

This study identifies distinct rare de novo coding variants associated with Tourette Syndrome, highlighting loss-of-function mutations and novel candidate genes.

This paper conducts GWAS on cannabis use frequency and lifetime use, identifies genetic loci, and shows genetic correlations with other traits and diseases.

The paper identifies islet-specific DNA hypomethylated regions linked to T2D risk by integrating DNA methylation data with GWAS and EHR data.

This study investigates the genetic basis of physical activity across different contexts and finds that leisure-time activity has distinct genetic influences and protective health effects.

GXwasR provides tools for sex-aware genetic analysis in GWAS and XWAS, enabling sex-differentiated effects and polygenic risk scores.

The paper compares the multivariate genetic architecture of eight psychiatric disorders between males and females using Genomic Structural Invariance, finding similarities and sex-specific differences in genetic factor loadings.

This study identifies 343 genetic loci for chronic pain in 1.2 million individuals, revealing pleiotropy with psychiatric disorders and brain structures.

This study finds that genetic risk for major depression is associated with higher cardiovascular disease risk in females but not males, even without a depression diagnosis.

This study identifies shared and distinct ultra-rare genetic risk factors for epilepsy subtypes using whole-exome sequencing of 20,979 patients and 33,444 controls.

This study identifies 14 genome-wide significant loci for delay discounting in 134,935 individuals and shows genetic associations with 212 medical conditions.

This study investigates genetic correlations and causal relationships between schizophrenia, cannabis use disorder, and tobacco smoking across African and European ancestries, identifying pleiotropic loci and convergent genetic effects.

This study identifies 31 plasma proteins and expands genetic loci associated with PCOS, highlighting metabolic and hormonal influences and polygenic risk effects on cardio-metabolic outcomes.

This study examines sex differences in immune function and disease risk across populations, finding no consistent support for the evolutionary mismatch hypothesis.

The paper examines the association between psychiatric polygenic scores and healthcare utilization and comorbidity burden in individuals of European ancestry, finding significant links for major depressive disorder.

This study compares GWAS results of coffee intake from 23andMe and UK Biobank, finding discrepancies in genetic correlations with health traits and highlighting cultural differences in gene-cohort influences.

This study identifies genetic loci associated with alcohol use disorder and consumption, finding distinct genetic architectures and variants with direct effects on AUD.

This study examines how sex influences the genetic risk of PCOS on metabolic traits using polygenic risk scores and EHR data.

This study performs a multi-ancestry meta-analysis of tobacco use disorder using electronic health records, identifying 88 risk loci and 461 potential risk genes, and linking TUD to various health outcomes.

This study identifies genes associated with both depression and coronary artery disease that are enriched for inflammation and cardiomyopathy pathways, and finds higher prevalence of cardiomyopathy in individuals with comorbid depression-CAD.

This study performs a cross-ancestry meta-analysis of opioid use disorder, identifying 14 loci, including 12 novel ones, and finding significant genetic correlations with psychiatric and neurological traits.

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 paper translates the PRS-CS polygenic risk score method to Julia, achieving 5.5x faster computation with maintained accuracy across nine traits.

This study conducts a genome-wide association study to identify genetic variants linked to musical beat synchronization, finding high polygenicity with 69 significant loci and heritability estimates of 13%-16%.

This study performs a multivariate GWAS on psychiatric disorders and symptoms to identify two genetic liabilities distinguishing common mood disturbances from serious mental illnesses.

This study evaluates the association of genetic risk scores with depression and anxiety diagnoses, finding distinct genetic contributions to their comorbidity.