Christiaan H. Vinkers

This study uses GWAS-by-subtraction to identify genetic variants specific to happiness and meaning in life independent of depressive symptoms in the UK Biobank.

This study uses machine learning to predict 2-year MDD chronicity by integrating proteomics with clinical data, showing improved accuracy over psychiatrists' predictions.

This paper introduces a computational method to improve the reliability of epigenetic clocks by using principal component analysis, showing reduced technical noise and better performance in longitudinal studies.

This study examines how postnatal stress affects structural brain development in preterm infants and identifies resilient brain characteristics that predict future behavioral outcomes.

This study investigates the genetic and environmental overlap and bidirectional causality between resilience and well-being using twin-sibling data and polygenic scores.

This paper develops a pipeline to correct lipid suppression and partial volume effects in MRSI data to generate high-resolution metabolite maps of central brain structures.

The paper identifies 201 differentially expressed genes in stress-sensitive brain regions linked to psychiatric disorders and potential drug targets.

The paper performs a meta-analysis of DNA methylation data from military cohorts to identify CpG sites and regions associated with PTSD development.

The paper identifies mir-135b-5p as a regulator of persistent stress-enhanced memory and a potential therapeutic target and biomarker for PTSD.

This study identifies ten novel methylation loci associated with PTSD through a meta-analysis of 1,896 cases and controls across ten cohorts, highlighting the AHRR locus and its link to kynurenine levels.

This study uses pathway analysis on schizophrenia GWAS data to identify enrichment in synaptic plasticity and neurotransmitter synapse gene sets, supporting a role for postsynaptic signaling in schizophrenia.