Elliot M. Tucker–Drob

The paper combines GWAS and GWAX data using a multivariate method to estimate SNP heritability of Alzheimer's Disease, finding higher heritability than previous SNP-based estimates.

The paper introduces T-SEM to analyze gene expression's role in cognitive traits, identifying 184 genes linked to general cognitive function and enrichments in specific genomic categories.

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 three dimensions of cortical ageing in the human brain and links the most general dimension to cognitive decline across multiple domains in older adults.

This study identifies 157 genome-wide significant loci associated with non-cognitive contributions to educational attainment, explaining 57% of genetic variance.

The paper uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed genes.

The paper develops a statistical method to distinguish between interaction and dispersion effects in gene-environment interactions, applying it to BMI data.

This paper introduces within-family Mendelian randomization methods to reduce biases from family structure and shows they yield different results compared to population-based analyses.

The paper assesses spatial orientation and object-based spatial abilities in a large twin sample, finding a common genetic network underlying all spatial abilities.

The paper evaluates the DunedinPoAm DNA methylation measure of aging pace in children and finds socioeconomic disadvantage is associated with faster aging, unlike other epigenetic clocks.

The paper investigates associations between polygenic risk scores for schizophrenia, psychotic-like experiences, and structural brain network properties in healthy UK Biobank participants.

This study identifies genetic and epigenetic factors associated with inflammatory protein levels in older adults using GWAS and EWAS with a Bayesian framework.

The paper uses polygenic scores to show that students from advantaged schools are more likely to take advanced math courses and persist in math, while disadvantaged schools track fewer high-potential students into advanced math.

The paper examines how genetic and environmental factors explain the relationship between mathematics anxiety and related traits like attitudes, abilities, and performance in adolescents.

This study evaluates how different network thresholding methods affect structural brain network properties and their association with age in the UK Biobank.

The paper examines how aging affects brain network integrity and its association with cognitive function using MRI data from two cohorts.

The paper shows that environmental changes reveal new genetic influences on cortisol responses in children, challenging the idea that genetic variation only codes for fixed phenotypes.

The paper identifies a genetic general intelligence factor (g) that explains 58.4% of the genetic variance in cognitive traits using genome-wide data from seven cognitive tests.

This study identifies neurology-related proteins in plasma associated with cognitive ability and brain volume in older adults, with partial mediation by brain volume.

This study identifies brain structure correlates of general intelligence using UK Biobank data, finding stronger associations in older adults and specific brain regions linked to intelligence.

This study identifies genetic and epigenetic factors associated with neurological protein levels in the Lothian Birth Cohort 1936, revealing potential causal links to neurological diseases.

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.

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.

The paper shows that two core brain networks supporting executive functions are established by middle childhood, with activity patterns similar to adults.

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.

The paper estimates genetic and environmental influences on testosterone, DHEA, and progesterone concentrations in human hair across 8-18 years in twins, identifying sex-specific heritability peaks.

The paper proposes using structural equation modeling to correct genome-wide polygenic scores for measurement error, offering an alternative to instrumental variable approaches.