Catharine R. Galé

This study identifies genetic loci associated with household income and links them to biological pathways and cognitive ability, showing genetic differences between income and education.

This study identifies X chromosome variants associated with neuroticism using UK Biobank data, finding 204 significant markers and estimating X-variant heritability at 0.34%.

This study examines associations between vascular risk factors and brain MRI indices in UK Biobank, finding that higher vascular risk is linked to poorer brain health across macro- and microstructural measures.

The paper develops DNA methylation predictors for BMI, smoking, alcohol, and education, finding they explain some phenotypic variance and predict mortality for some traits.

This study examines the association between polygenic risk scores for neurodegenerative disorders and cognitive performance, finding lower cognitive performance with higher risk scores for AD, ALS, and FTD.

This study identifies six new Alzheimer's disease-associated loci using GWAS on family history data from UK Biobank and consortium data, with potential implications for precision medicine.

Across 5,216 UK Biobank adults, males had larger brain volumes and surface areas, females thicker cortices and stronger default-mode connectivity; male variance was generally greater.

This study uses MTAG to combine GWAS of education and income with a GWAS of intelligence, identifying 107 loci and 233 genes associated with intelligence.

The paper identifies 116 independent genetic variants associated with neuroticism in over 329,000 UK Biobank participants and finds genetic correlations with mental health traits.

This study examines the genetic architecture of trail making test performance and its genetic correlations with cognitive functions in UK Biobank participants.

The paper examines the genetic architectures of two neuroticism factors and finds they are associated with positive outcomes like affluence and longer life, unlike the general neuroticism factor.

This study uses Mendelian randomization to examine causal relationships between cognitive ability, educational attainment, and physical health traits, finding no evidence of causation from health to cognitive ability or from educational attainment to health.