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Martijn van de Bunt

Novo Nordisk Postdoctoral Research Fellow (2014-2017)

  • Project: Insights into type 2 diabetes pathogenesis through transcriptomic and functional analysis of the developing human islet

Biography

Martijn was awarded a Novo Nordisk Postdoctoral Research Fellowship, working with Professors Mark McCarthy and Anna Gloyn at the Oxford Centre for Diabetes, Endocrinology & Metabolism and the Wellcome Trust Centre for Human Genetics. His research aimed to improve understanding of islet biology and pathophysiology through the integrative analysis of large genomic datasets on key type 2 diabetes tissues with findings from human genetics. Martijn’s work led to significant advances in understanding of type 2 diabetes and glycaemic trait genome-wide association loci – for example identifying a novel regulator of insulin secretion, ZMIZ1. Martijn was awarded a prestigious American Society for Human Genetics (ASHG) Charles J Epstein Trainee Award for Excellence in Human Genetics Research.

Following his Novo Nordisk fellowship at the University of Oxford, Martijn moved to Novo Nordisk, Copenhagen, in May 2017. He has since applied his expertise on using data to solving complex challenges in drug discovery and development, both in scientific and leadership positions. He currently works as a Project Director in Novo Nordisk Global Development.


Selected publications

Reduced somatostatin signalling leads to hypersecretion of glucagon in mice fed a high-fat diet. Kellard J et al, (2020), Molecular Metabolism

Diabetes causes marked inhibition of mitochondrial metabolism in pancreatic β-cells. Haythorne E*, Rohm M*, et al, (2019), Nat Comms * = joint first author

Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation Gamazon ER et al, (2018) Nature Genetics

Patterns of differential gene expression in a cellular model of human islet development, and relationship to type 2 diabetes predisposition Perez-Alcantara M,… van de Bunt M, (2018) Diabetologia

Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study Gudmundsdottir V et al, (2018) PLOS One

Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci Thurner M et al, (2018) eLIFE

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls Flannick J et al, (2018) Scientific Data

Characterising cis-regulatory variation in the transcriptome of histologically normal and tumour-derived pancreatic tissues Zhang MF et al, (2017) Gut

A Low-Frequency Inactivating AKT2 Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk Manning A et al, (2017) Diabetes

Decreased STARD10 Expression Is Associated with Defective Insulin Secretion in Humans and Mice. American Journal of Human Genetics Carrat GR et al, (2017) The American Journal of Human Genetics

Colocalization of GWAS and eQTL Signals Detects Target Genes Hormozdiari F et al, (2016) AJHG

Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance Lotta LA et al, (2016) Nature Genetics

An alternative effector gene at the type 2 diabetes-associated TCF7L2 locus? van de Bunt M (2016) Diabetologia

Systematic Functional Characterization of Candidate Causal Genes for Type 2 Diabetes Risk Variants Thomsen SK et al, (2016) Diabetes

The genetic architecture of type 2 diabetes Fuchsberger C et al, (2016) Nature

Insights into islet development and biology through characterization of a human iPSC-derived endocrine pancreas model van de Bunt M et al, (2016) Islets

Reduced Insulin Production Relieves Endoplasmic Reticulum Stress and Induces β Cell Proliferation Szabat M et al, (2016) Cell Metabolism

Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors van de Bunt M et al, (2015) PLOS Genetics