Karmel W. Choi

The paper compares the phenotypic and genetic structures of psychiatric symptoms in autistic and non-autistic children, finding differences in factor structures and genetic associations.

This study conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

The paper performs large-scale GWAS and RVAS on 392,030 whole genomes from All of Us, identifying 49,863 associations and 193 novel pLoF gene-phenotype links through meta-analysis with UK Biobank.

The paper identifies shared genetic loci between cortical morphology and psychiatric disorders, finding regional and global effects with directional heterogeneity.

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 conducts the first comprehensive genetic analysis of alcohol use disorder in a Nepalese population, identifying a novel genome-wide significant locus and highlighting the need for replication and improved polygenic prediction.

This study identifies two distinct genetic factors influencing executive function and attentional control, showing unique links to psychiatric disorders and cognitive phenotypes.

This study evaluates how different modeling choices affect the performance of clinical risk prediction models integrating genetic and clinical data, finding that PRS inclusion benefits vary by integration method and data type.

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 identifies modifiable comorbidities of schizophrenia by analyzing EHR data and polygenic risk scores, finding conditions with no shared genetic risk that may be influenced by treatment or environment.

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

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

The paper examines how genetic risk scores for depression relate to different patterns of depressive symptoms from childhood to adolescence.

This study uses Mendelian randomization to show that moderate and vigorous physical activity causally improve cognitive functioning, but not average activity or reverse effects.

This study identifies genetic variants associated with self-reported childhood maltreatment and finds significant genetic correlations with depressive symptoms.

The paper identifies and validates modifiable factors for depression prevention using UK Biobank data and Mendelian randomization.

This study identifies genetic loci associated with psychological resilience in US Army soldiers using GWAS, finding significant associations with neuroticism and specific genes involved in neuronal survival.

This study examines how polygenic risk and protective factors like unit cohesion and trait resilience affect the risk of depression in US Army soldiers after combat deployment.

This study uses Mendelian randomization to test causal relationships between physical activity and depression, finding protective effects of objective activity measures but not self-reported ones.

This study uses genetic data to show that educational attainment causally reduces PTSD risk, with economic status mediating this relationship.

This study conducts the largest GWAS for PTSD, identifying 6 genome-wide significant loci in European and African ancestries and highlighting novel biological pathways.