Ben Michael Brumpton

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

This study uses Mendelian randomization to identify risk factors for kidney function decline in CKD and the general population, finding causal effects of type-2 diabetes and high TSH.

This study uses Mendelian randomization to examine the lifecourse effects of childhood and adulthood adiposity on sleep health outcomes, finding that adult adiposity is a risk factor for insomnia while childhood adiposity may have protective effects when maintained in adulthood.

This study identifies genetic risk factors associated with severe psoriasis and shows that polygenic risk scores can predict severe disease outcomes better than traditional risk factors.

This study identifies 440 genes/proteins associated with atopic dermatitis severity through multi-omics analyses and highlights four with significant cross-evidence, including CEP85, which may contribute to severity via impaired phagocytosis.

This study develops and validates a polygenic score for cardiorespiratory fitness (CRF) and finds it is associated with reduced cardiovascular disease and mortality risks.

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

This study uses Mendelian randomization to assess how cardiometabolic drugs affect kidney function, finding specific drug targets influence eGFR and related biomarkers.

This study identifies 13 novel genetic associations for celiac disease, with the 5p15.33 locus showing strong potential, and links IRX1 to rheumatoid arthritis.

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

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

This study uses Mendelian randomization to examine the causal effects of childhood and adulthood adiposity on anxiety and depression, finding childhood adiposity may protect against mental health issues if obesity is absent in adulthood.

This study uses GWAS and Mendelian randomization to show that lower sclerostin levels increase risk of hypertension, type 2 diabetes, myocardial infarction, and atherogenic lipid profiles.

This study identifies genetic loci associated with gestational duration and preterm delivery, showing maternal and fetal genetic effects and antagonistic pleiotropy with birth weight.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

This study identifies 135 genomic loci associated with venous thromboembolism risk through cross-ancestry GWAS and provides insights into biological pathways and potential therapeutic targets.

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.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This study uses Mendelian randomization to identify causal risk factors for Alzheimer's disease, finding that education, fluid intelligence, and physical activity are likely causal, while most associations are consequences of early disease.

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

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.

This study conducts a multi-ancestry GWAS for venous thromboembolism, identifies novel loci, and validates their function in zebrafish.

This study identifies 144 genetic loci associated with abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target through Mendelian Randomization and pre-clinical validation.

This study uses within-sibship Mendelian randomization to show taller height reduces coronary heart disease risk but increases cancer risk, likely due to causal effects rather than confounding factors.

This paper identifies two novel genetic loci associated with ischemic stroke and finds sex and ancestry differences in their effects.

This GWAS identifies 123 migraine risk loci, including subtype-specific variants and novel targets, supporting neurovascular mechanisms in migraine.