Gibran Hemani

This paper extends Mendelian randomisation to founder-haplotype data in Diversity Outbred mice, showing founder-effect patterns improve causal inference compared to scalar coding.

This study identifies genetic loci associated with childhood eating behaviour and shows they mediate obesity risk through distinct pathways, primarily driven by the child's own genotype.

This paper identifies shared genetic loci between inflammation and cancer risk using non-causal associations, revealing potential therapeutic targets.

The paper describes the MoBaPsychGen pipeline for quality controlling and imputing genotyping data from the MoBa cohort, identifying extensive family relationships across 207,569 individuals.

The paper evaluates whether natural selection contributes to higher cardiometabolic disease risk in South Asians by analyzing genetic differentiation at disease-associated loci.

The paper introduces MR-SimSS, a method to correct biases in two-sample MR studies by simulating independent data subsets from GWAS summary statistics, improving causal inference accuracy.

The paper identifies African-specific genetic loci associated with iron status and risk of severe malaria and bacteremia in children, highlighting limited transferability of European polygenic risk scores.

The paper identifies age-dependent methylation quantitative trait loci (longitudinal mQTLs) across the lifespan using blood DNAm data from two cohorts, finding consistent genotype-by-age effects and associations with multiple phenotypes.

The paper introduces GPMap, a resource that maps genetic associations across traits and molecular measurements to identify pleiotropy and improve disease mechanism understanding.

This paper evaluates age-varying genetic effects on BMI and blood pressure traits using UK Biobank data, finding trait-dependent interactions that influence cardiovascular outcomes.

This study uses large biobanks to identify gene-trait pairs with causal evidence, rediscover approved drug targets, and develop a predictive model for drug development.

The paper uses single-cell eQTL data to identify cell-type-specific effector genes associated with 69 diseases and 31 biomarker traits, revealing distinct immune cell contributions to disease.

The paper identifies a novel genetic locus OSBPL11 associated with vitamin D levels and cardiometabolic health in African populations through genome-wide analysis.

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 twin-based Mendelian randomisation to find bidirectional causation between smoking and blood DNA methylation at multiple genomic sites.

The paper investigates the interaction between FADS2 genotype and breastfeeding on various traits in the UK Biobank and finds no evidence of such an interaction.

This study uses Mendelian randomization to identify two proteins, CCL27 and TNFRSF14, that influence subsequent cardiovascular events after a stroke, suggesting inflammation as a contributing factor.

This study uses reverse Mendelian randomization to identify non-causal plasma proteins associated with glioma risk, finding links to immune system processes and potential biomarkers.

This study identifies genetic variants associated with alcohol flushing in East Asian populations and suggests self-reported flushing can be used as an instrumental variable for alcohol intake.

This paper reviews and improves statistical methods to correct for Winner's Curse in GWAS by evaluating simulated and real data, proposing a bootstrap method, and providing an R package.

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

This paper uses proteome-wide Mendelian randomization across multiple ancestries to identify causal protein-disease associations and drug targets in over 1.26 million individuals.

PWCoCo improves genetic colocalisation by integrating conditional and colocalisation analyses, enabling robust detection of independent signals and secondary loci in high-dimensional omics data.

This paper evaluates block jackknife resampling in Mendelian randomization to reduce overfitting bias from overlapping samples, showing it outperforms external GWAS and overlapping sample methods in robustness.

This paper improves genetic scores for adiposity traits in East Asian populations by using trans-ancestry meta-analysis, increasing variance explained compared to European-derived scores.

The paper investigates the stability and regulatory implications of DNA co-methylation across age and ancestry, finding stable patterns and links to transcription factor binding and chromatin interactions.

This study combines protein and gene expression QTLs to evaluate their concordance in drug target validation, finding that 25-30% of QTL pairs show discordant effects.

The paper estimates selection coefficients for DNA methylation sites and finds evidence of both positive and negative selection, highlighting DNAm's role in biological pathways.

The paper evaluates the WSP model for reducing confounding in epidemiological studies, finding it susceptible to collider bias from assortative mating and attenuating genetic associations for traits like height and education.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.