William David Hill

This paper evaluates methods to estimate lifetime brain atrophy from a single MRI scan and identifies genetic correlates, finding that the residual method best captures brain shrinkage and has strong heritability.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

This study uses Mendelian randomization to investigate the causal relationship between socioeconomic status and brain structure, finding that SES is protective against white matter hyperintensities independent of cognitive ability.

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

The paper integrates DNA methylation with clinical risk factors to improve mortality prediction, identifying CpG biomarkers associated with all-cause, cardiovascular, and cancer mortality.

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

This study uses Mendelian randomization to show education and intelligence both causally lower Alzheimer's disease risk, with intelligence having an independent effect.

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.

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

The paper identifies genetic loci associated with email contact and mental health survey participation in two cohorts, finding genetic correlations with education, health, and psychological distress.

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 uses GWAS data to decompose the genetic basis of depression and neuroticism, finding shared and unique genetic factors associated with different traits.

This study uses polygenic scores to predict cognitive ability at age 70 and cognitive change from 70 to 79, finding limited predictive validity compared to APOE e4.

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.

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.

Structural equation modeling over GWAS summary statistics fits several traits jointly; across five psychiatric traits it surfaced 27 SNPs the univariate GWASs missed and sharpened polygenic scores.

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 uses family data to estimate genetic effects on intelligence and personality, finding that rare variants explain more variance than previously reported using unrelated individuals.

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 identifies that genetic variants associated with cognitive function are enriched in evolutionarily conserved regions, which account for a significant portion of heritability.

This study identifies genetic variants associated with self-rated health and finds that genetic factors explain 13% of its variance, overlapping with traits like BMI, depression, and cognitive ability.

This study identifies over 250 genetic loci associated with severe hair loss using UK Biobank data and develops a prediction algorithm with an AUC of 0.82.

This study identifies shared genetic factors between cognitive functions and various mental and physical health traits using UK Biobank and GWAS data.