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Research interests

Peter van der Most is a post-doc researcher at the unit of Genetic Epidemiology & Bioinformatics. He graduated in 2008 at the University of Groningen (bachelor in Life Science & Technology; master in Behavioural & Cognitive Neuroscience), and is interested in the intersection of biology, medicine and technology. Following graduation, he worked for two years at the department of Behavioural Biology with Prof. Simon Verhulst. There he used meta-analysis to study trade-offs between growth and immunity, and between quality and quantity of offspring in birds. Subsequently Peter van der Most wrote his PhD thesis on novel statistical methods and the development of quality-control tools for (epi-)genome-wide analysis at the unit of Genetic Epidemiology with Prof. Harold Snieder.

Publicaties

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

Role of Inflammation in Depressive and Anxiety Disorders, Affect, and Cognition: Genetic and Non-Genetic Findings in the Lifelines Cohort Study.

Transcriptomics- and Genomics-Guided Drug Repurposing for the Treatment of Vesicular Hand Eczema

X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements

Author Correction: The power of genetic diversity in genome-wide association studies of lipids (Nature, (2021), 600, 7890, (675-679), 10.1038/s41586-021-04064-3)

Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Genetic insights into resting heart rate and its role in cardiovascular disease

Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

Understanding the genetic complexity of puberty timing across the allele frequency spectrum

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