Jordan W. Smoller

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

This paper develops a genome-wide polygenic score for chronic kidney disease that incorporates APOL1 risk genotypes and shows consistent performance across four major continental ancestries.

This study identifies four genetic factors underlying 11 psychiatric disorders and finds limited evidence for a single dimension of genetic risk across them.

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

Exomes of 24,248 schizophrenia cases and 97,322 controls implicate ultra-rare damaging variants in 10 genes, including GRIN2A and GRIA3, with odds ratios of 3 to 50.

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

This study shows that the schizophrenia-associated SLC39A8 variant A391T alters N-glycosylation in the mouse brain, affecting glycoproteins involved in schizophrenia-related pathways.

The paper analyzes glycosylation patterns in mouse brain regions and sexes, finding reduced complexity and minimal sex differences compared to plasma.

This study evaluates the feasibility and costs of returning actionable genomic results from a biobank, finding high false positive rates in genotyping and significant under-testing among at-risk individuals.

The paper examines how genetic pathways regulating sensitive periods and socioeconomic disadvantage interact to influence depression risk using genome-wide data and developmental gene expression patterns.

This paper develops a transcriptome-based polygenic risk score (T-PRS) linking depression-related cortical gene expression changes to brain morphology and symptom severity in MDD.

The paper evaluates the generalizability of breast cancer polygenic risk scores across three ancestral groups using the eMERGE dataset, finding good performance in LatinX but not African ancestry women.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper investigates genetic links between cognitive abilities and psychiatric disorders using GWAS on 335,227 individuals, finding 25 novel loci and variable genetic correlations across cognitive tasks and disorders.

The paper reports exome sequencing findings in bipolar disorder, identifying AKAP11 as a shared risk gene with schizophrenia through ultra-rare protein-truncating variants.

The paper introduces methods to clean and analyze clinical lab data linked to EHRs, finding polygenic scores associated with lipid levels and coronary artery disease biomarkers.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

The paper investigates the heritability of age of first occurrence for complex disorders using GWAS data from UK Biobank and FinnGen, finding genetic contributions and correlations with disease susceptibility.

The paper investigates the association between age-related mosaic chromosomal alterations and infection risk in 767,891 individuals without blood cancer, finding increased infection susceptibility linked to mCAs.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

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

This paper shows that GWAS using minimal phenotyping for depression identifies non-specific genetic factors shared with other psychiatric conditions, not specific to major depressive disorder.

This study performs a cross-disorder GWAS meta-analysis of ADHD, ASD, OCD, and TS, identifying 297 genome-wide significant variants and 21 genes associated with shared genetic risk.

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

This study evaluates polygenic risk scores for schizophrenia in electronic health records, finding strong associations with schizophrenia and pleiotropic effects on other psychiatric and medical conditions.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

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 paper introduces PRS-CS, a Bayesian polygenic prediction method that improves accuracy over existing approaches for complex diseases and traits.

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.