Simon R. Cox

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

The paper shows that general cognitive function is supported by a widespread white matter network across multiple brain regions and connectivity measures.

This study identifies distinct frailty domains with varying causal relationships to Alzheimer's disease using genetic methods.

This paper introduces new graph measures for brain structural connectomes, showing they better predict general cognitive function than existing measures.

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 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.

The paper introduces a weighted 2D-kernel density estimation method for epigenetic age prediction, achieving similar accuracy to existing clocks and providing variation scores linked to mortality risk.

The paper conducts a Bayesian EWAS and GWAS of smoking using DNA methylation data from blood and brain tissues, identifying smoking-related loci and developing an epigenetic biomarker.

The paper investigates how mutation timing, fitness, and clonal structure influence the clinical progression of clonal hematopoiesis using longitudinal cohort data.

The paper develops a method to analyze genomic deletions and duplications across the cerebral cortex and finds opposing effects on cognitive ability depending on gene expression patterns in different cortical regions.

The paper identifies brain regions most related to general cognitive function and links them to neurobiological properties using meta-analysis and multimodal cortical maps.

The paper identifies a CNV duplication associated with higher cognitive ability and shows gene-dosage effects differ between deletions and duplications across biological processes.

The paper develops epigenetic scores for GDF15 and NT-proBNP levels, showing associations with disease risks and brain health traits in two cohorts.

This paper uses multi-polygenic scores to predict frailty and its trajectories, identifying chronic pain, rheumatoid arthritis, and educational attainment as key pathways.

The paper introduces MAJA, a method for joint association testing in multi-omics data, finding shared epigenetic pathways across multiple traits in methylation data.

The paper identifies general and specific patterns of cortical gene expression related to cognitive functioning using principal component analysis and validates them across datasets.

This study validates a polygenic risk score for frailty using two independent cohorts, showing it predicts frailty at early ages with moderate variance explained.

This study uses genomic PCA to identify shared genetic architecture between brain morphometry, ageing, and cognitive ability using UK Biobank data.

The paper refines epigenetic predictors of chronological and biological age using large-scale EWAS and external validation, improving cAge prediction and outperforming existing bAge predictors.

The paper develops DNAmFitAge, a biological age indicator that integrates physical fitness metrics with epigenetic clocks to assess aging and health risks.

The paper shows that local CpG density influences age-related DNA methylation changes in humans by analyzing longitudinal methylation data and SNP data from 600 individuals.

The paper identifies DNA methylation and proteomic markers associated with brain health through integrated methylome and phenome analyses.

This study compares DNA methylation signatures of ageing and inflammation in blood and brain tissues, finding divergent correlations and a link between epigenetic age acceleration and microglial burdens in the hippocampus.

This study identifies DNA methylation predictors of cognitive function using blood samples, showing they explain variance in cognitive ability and associate with biological markers.

This study shows that higher plasma phospho-tau181 levels and their increase over time predict faster cognitive decline in older adults and are present in brain synapses.

The paper investigates the association between VKORC1 genetic variation and dementia risk, finding a link with vascular dementia but not general or Alzheimer dementia, and no effect of warfarin use on risk.

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.

The paper examines the association between birth weight and brain structure in older age, finding positive links with brain volumes but not with age-related structural changes.

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

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