Jouke‐Jan Hottenga

The paper identifies vmeQTLs for blood DNA methylation variance in MZ twins, showing gene-environment interactions and cell-type effects relevant to immune disease.

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

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

The paper develops a polygenic score for dizygotic twinning, showing it explains 1.6% of liability variance and is linked to fertility outcomes and genetic correlations with related conditions.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

The paper investigates how parental polygenic scores for complex traits are associated with offspring DNA methylation, finding significant links for schizophrenia, educational attainment, BMI, and height.

This study uses twin-based Mendelian randomisation to find bidirectional causation between smoking and blood DNA methylation at multiple genomic sites.

The paper compares transcriptomic and metabolomic data from monozygotic and dizygotic twins to identify molecular biomarkers of twinning, finding no replicable transcript-level differences but highlighting potential pathways.

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.

This study uses whole genome sequencing to identify 18 novel genetic loci associated with plasma fibrinogen levels, including variants more common in African populations and linked to liver-related traits and disease.

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 paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

This study integrates genomics, epigenomics, and metabolomics data to identify ADHD biomarkers and explore omics-level connections, finding associations between PGSs, CpGs, and metabolites.

This study identifies proteins and genes associated with BMI and its changes in twins, showing shared genetic and environmental factors across proteome, transcriptome, and metabolome layers.

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

This study identifies 118 candidate causal genes and 21 novel lipid loci on the X chromosome through a multi-ancestry meta-analysis of blood lipid levels, revealing sex-biased effects and pleiotropy with cardiovascular and hormonal traits.

This paper conducts a GWAS of subclinical obsessive-compulsive symptoms (OCS) in 33,943 individuals, finding polygenic risk and genetic overlap with OCD.

This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.

The paper estimates how parents' cognitive and non-cognitive skills affect offspring education through environmental effects using polygenic scores and multiple study designs.

This paper integrates GWAS data with functional genomic datasets to identify regulatory mechanisms and causal genes underlying lipid-related traits.

This study identifies 19 genome-wide significant loci associated with liking of physical activity traits using UK Biobank data and validates findings in twin cohorts.

This GWAS identifies 123 migraine risk loci, including subtype-specific variants and novel targets, supporting neurovascular mechanisms in migraine.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

The paper uses symptom-based case predictions to conduct a GWAS on COVID-19, finding new genetic susceptibility insights and suggesting different genetic architectures for severity and susceptibility.

This study conducts a genome-wide association meta-analysis of childhood aggression across multiple raters, instruments, and ages, identifying genetic correlations with various traits but no genome-wide significant SNPs.

This study conducts a large-scale GWAS of food liking in 161,625 UK Biobank participants, identifying 1401 associations and revealing genetic correlations with brain traits.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.

The paper links genotype data from the Netherlands Twin Register to health care expenditure data and performs genome-wide association analyses, finding moderate heritability but no significant SNPs associated with expenditure.

This paper applies a 3-level multilevel model to twin data, showing that regional clustering explains 1.8% of children's height variance, which is ancestry-related and disappears after genetic principal components correction.