Bastiaan T. Heijmans

The paper identifies SENP7 and UTF1/VENTX as new loci influencing cPCDH methylation in blood and brain through a genome-wide association study.

The paper develops a DNAm reference panel called UniLIFE to estimate immune cell fractions in blood tissue across the lifespan, identifying biomarkers for type-1 diabetes in infants and children.

The paper investigates how blood cell counts influence epigenetic age metrics, finding strong links with DNAmAge but weaker associations with AgeAccel, particularly for neutrophils in second-generation clocks.

The paper identifies DNA methylation and gene expression changes in human blood after a meal, linking them to cardiometabolic health and obesity-related genes.

The paper develops interpretable neural networks for multi-omics data to predict smoking status, age, and LDL levels, showing improved performance and generalizability across cohorts.

This study shows EPA induces an anti-inflammatory transcriptomic profile in CD4+ T cells, independent of triglyceride lowering, potentially explaining its cardiovascular benefits.

This study shows that oleic acid pre-exposure rewires CD4+ T cell metabolism, promoting pro-inflammatory differentiation upon activation.

The paper identifies age-related increases in DNA methylation variability on the inactive X chromosome in females and males, with aVMCs accumulating in XCI regions and showing replication in purified cell types.

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

The paper analyzes DNA methylation changes across birth to late adolescence in two cohorts, finding widespread nonlinear changes and sex-specific patterns.

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.

The paper identifies 818 genes influencing DNA methylation in blood using genetic anchors and causal inference, revealing both transcription factors and non-DNA-binding proteins with regulatory roles.

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

The paper uses RNA-Seq data from 296 family trios to identify genomic imprinting by analyzing allelic expression and parental haplotypes, finding 45 imprinted genes and one novel imprinted transcript.

The paper identifies 49 gene drivers of downstream transcriptional changes using population genomics data and RNA-sequencing from 3,072 individuals.

The paper argues that mediation analysis is more appropriate than Mendelian randomization for studying the link between prenatal famine exposure and adult metabolic traits via DNA methylation.

This paper develops a method to control bias and inflation in epigenome- and transcriptome-wide association studies using an empirical null distribution estimated via Bayesian statistics, showing improved power and false positive rate control.