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Publications

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

CHEN Z. et al, (2024), Nature

Genic constraint against nonsynonymous variation across the mouse genome.

Powell G. et al, (2023), BMC Genomics, 24

Association between maternal haemoglobin concentrations and maternal and neonatal outcomes: the prospective, observational, multinational, INTERBIO-21st fetal study.

Ohuma EO. et al, (2023), Lancet Haematol, 10, e756 - e766

Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler.

Laber S. et al, (2023), Cell Genom, 3

Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank

Lassen FH. et al, (2023)

Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake.

Williamson A. et al, (2023), Nat Genet, 55, 973 - 983

A non-coding variant linked to metabolic obesity with normal weight affects actin remodelling in subcutaneous adipocytes.

Glunk V. et al, (2023), Nat Metab, 5, 861 - 879

The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions

ZONDERVAN K. and RAHMIOGLU N., (2023), Nature Genetics

Loci for insulin processing and secretion provide insight into type 2 diabetes risk.

Broadaway KA. et al, (2023), Am J Hum Genet

Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Wang Y. et al, (2023), Cell Genomics, 3

The genetic architecture of changes in adiposity during adulthood

Venkatesh SS. et al, (2023)

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Kanai M. et al, (2022), Cell Genomics, 2

Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Zhou W. et al, (2022), Cell Genomics, 2

A Saturated Map of Common Genetic Variants Associated with Human Height

WALTERS R. et al, (2022), Nature

Correction: Obesity and risk of female reproductive conditions: A Mendelian randomisation study.

Venkatesh SS. et al, (2022), PLoS Med, 19

Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies.

Gorski M. et al, (2022), Kidney Int

Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.

Winkler TW. et al, (2022), Commun Biol, 5

Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations.

Temprano-Sagrera G. et al, (2022), J Thromb Haemost, 20, 1331 - 1349

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.

Mahajan A. et al, (2022), Nat Genet, 54, 560 - 572

Transcriptome and fatty-acid signatures of adipocyte hypertrophy and its non-invasive MR-based characterization in human adipose tissue.

Honecker J. et al, (2022), EBioMedicine, 79

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