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Over ons Praktische zaken Waar vindt u ons dr. P.J. van der Most

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 Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations

Associations between common genetic variants and income provide insights about the socio-economic health gradient

Donor and Recipient Polygenic Risk Scores Influence Kidney Transplant Function

Insights into hair dye use and self-reported adverse skin reactions in the Dutch general population: A cross-sectional questionnaire-based study

Polygenic risk scores for eGFR are associated with age at kidney failure

A genome-wide association study of hand eczema identifies locus 20q13.33 and reveals genetic overlap with atopic dermatitis

A genome-wide association study of hand eczema identifies locus 20q13.33 and reveals genetic overlap with atopic dermatitis

A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances

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

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