Adriaan van der Graaf

This study performs a large-scale GWAS on 249 metabolic traits in 619,372 individuals, identifying 88,604 associations and using MR to explore causal links between metabolites and diseases.

The paper maps adipokine-associated variants to effector genes across 1,669 traits, identifying TGFB2 and VEGFA as linked to insulin resistance and distinct disease risks.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper infers parent-of-origin effects in ~265,000 individuals using a novel method, identifying over 30 novel POEs and confirming known associations, supporting the parental conflict hypothesis.

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

This study uses proteome-phenome-wide Mendelian randomization across three ancestries to identify protein-phenotype associations and potential therapeutic targets.

This study investigates the phenotypic effects of 22q11.2 copy number variants in the general population using UK Biobank data, finding associations with BMI, platelet volume, and other traits.

The paper identifies host genetic loci associated with gut microbiome composition and function in a large cohort, finding significant associations near LCT and ABO genes.

The paper identifies TRAFD1 as a master regulator of IFNγ signalling in celiac disease by systematically prioritizing candidate genes in disease loci using multiple computational methods.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

This paper introduces MR-link, a Mendelian randomization method that identifies causal relationships between gene expression and LDL-C levels, finding 19 causally linked genes including PVRL2.

This study investigates genetic variants in ACE2 and TMPRSS2 genes for associations with quantitative phenotypes and medication use in a population cohort, finding suggestive links with hypertension and inflammation-related drugs.