Dorret Irene Boomsma

This study conducts a GWAS meta-analysis of stuttering, identifying genetic links with speech disorders and highlighting shared genetic architecture across different ascertainment methods.

This study identifies genetic variants associated with healthcare costs across multiple systems, finding polygenic influences and large effects from specific loss-of-function variants.

The paper identifies biologically distinct subtypes of MDD based on energy-related symptoms and finds genetic and metabolic differences between them.

This study analyzes T-cell receptor repertoires in monozygotic twins with and without Crohn's disease, finding increased TCR overlap in concordant pairs and identifying eight novel TCR clusters potentially linked to the disease.

This study identifies six genome-wide significant risk loci for tic disorders and links genetic risk to specific brain cell types and circuits.

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

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

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

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

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.

This study identifies 21 infertility loci and over 400 reproductive hormone loci through GWAS across multiple cohorts, finding limited genetic correlation between reproductive hormones and infertility.

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.

The paper integrates HiTOP and RDoC frameworks to identify shared and distinct biological mechanisms of externalizing and internalizing psychopathology using multi-omics approaches.

The paper uses genomic structural equation modeling to identify the genetic architecture of externalizing and internalizing psychopathology, finding a moderate genetic correlation and shared causal variants.

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.

This study examines the impact of negative life events on epigenetic aging in twins, finding associations between life stressors and accelerated aging markers, which are reduced in monozygotic twins.

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.

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.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

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 paper introduces FLAMES, a framework that improves gene prioritization in GWAS loci by integrating SNP-based and convergence-based evidence, outperforming single-modality approaches.

This study identifies genetic links between early vocabulary development and ADHD and cognition traits using genome-wide analyses.

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 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 genetic subtypes of major depressive symptoms by analyzing data from clinical and community cohorts, finding distinct factors for appetite/weight symptoms and missing data patterns.