Jordan W. Smoller

This study uses conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders, finding some variants with reduced pleiotropy effects.

The paper identifies SNRNP35 as a trauma type-specific PTSD gene through analysis of genetically regulated gene expression in PTSD cases and controls.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

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.

A GWAS of erectile dysfunction identifies a new locus at 6q16.3, implicating hypothalamic neurobiology and diabetes in its etiology.

The study finds that rare copy number variants (CNVs) contribute to bipolar disorder risk primarily in schizoaffective disorder bipolar type cases, with differences in CNV burden and schizophrenia polygenic risk scores between subtypes.

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

This study identifies shared genetic factors between educational attainment and cerebral cortical morphology using UK Biobank data and novel statistical methods.

This study performs a GWAS meta-analysis of menstrual cycle length in European women, confirming the FSHB locus association and identifying four novel signals linked to the HPG axis.

This paper validates EHR-based BD phenotyping algorithms by showing their genetic correlation with traditional BD cases, suggesting they identify genetically similar cases.

The paper updates the Psychiatric Genomics Consortium's progress and outlines future goals for translating genetic findings into clinical and therapeutic applications.

This study analyzes the heritability of neuroanatomical shape measurements using MRI and SNP data from 1,320 individuals, showing significant heritability beyond volume.

This study estimates SNP heritability for 551 traits from the UK Biobank and examines how age, sex, and socioeconomic status affect heritability estimates.