Eco J. C. de Geus

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.

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

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

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.

This study identifies two CpGs associated with the gut microbiome genus Eggerthella and shows microbiome mediates environmental effects on DNA methylation.

The paper identifies smoking-reactive DNA methylation changes in monozygotic twins and shows reversibility upon smoking cessation.

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

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 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 identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

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

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

The paper uses a CRISPR/Cas9-based approach in zebrafish to identify genes affecting heart rate variability and confirms the role of known genes while highlighting a novel gene.

This study identifies 137 genome-wide significant loci associated with DNA methylation biomarkers of ageing using DNAm and SNP data from over 41,000 individuals.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

This paper investigates genetic correlations between compulsive symptoms and OCD using GWAS and finds novel genes and increased enrichment for brain-related genes when combining symptom data with case-control studies.

This study estimates heritability and genetic contributions to metabolite levels using genome-wide data and twin-family cohorts, revealing class-specific genetic influences.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

This study identifies nine novel DNA methylation sites associated with fasting glucose and insulin levels by integrating cross-omics data from multiple cohorts.

This study investigates genetic associations between major depression and cardio-metabolic traits, finding shared genetic aetiology regardless of depression onset age.

This paper introduces MR-DoC, a twin-based model integrating Mendelian Randomization and Direction of Causation to test causal relationships while accounting for pleiotropy and improving statistical power.