Henning W. Tiemeier

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

The paper identifies 260 genes associated with sleep phenotypes using rare coding variants from large-scale sequencing data, revealing distinct genetic architectures and biological mechanisms across different sleep measurements.

This paper develops a miRNA-based gestational age clock (miRClock-GA) using cord blood plasma miRNA data and validates it in an independent cohort, showing associations with birthweight and childhood BMI.

The paper identifies shared genetic loci between cortical morphology and psychiatric disorders, finding regional and global effects with directional heterogeneity.

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

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 introduces a new method for estimating fetal weight using ultrasound measurements based on binary cellular analysis, showing improved performance over existing equations.

The paper introduces Binary Cellular Analysis to quantify growth and development by modeling cell division and proliferation, providing equations for fetal growth and body part formation.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

This study uses longitudinal meta-regression to examine how DNA methylation effects on child health outcomes vary by timing, finding larger effects in childhood but noisier associations and time-specific signals.

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

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.

The paper estimates the variance explained by DNA methylation at birth for childhood phenotypes using GREML, finding moderate to large contributions for gestational age and birth weight but near-zero for BMI, IQ, and ADHD symptoms.

This study examines DNA methylation at birth and its association with childhood cognitive skills, finding weak single CpG site associations and one region near DUSP22 linked to non-verbal cognition.

This study investigates the long-term effects of parity on maternal brain structure using a large cohort, finding a significant association with increased global gray matter volume.

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

This study uses Mendelian randomization to examine bidirectional causal effects between brain morphology and Alzheimer's disease risk across different life stages.

This study identifies 100 loci associated with mitochondrial DNA copy number and finds causal links between mitochondrial function and mortality.

The paper outlines the protocol for the EarlyCause project, which investigates the biological mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity using longitudinal data, animal models, and cellular systems.

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

This study identifies DNA methylation sites at birth associated with ADHD symptoms later in childhood, but finds no such associations at school age.

This paper identifies DNA methylation sites associated with aggression through a meta-analysis of epigenome-wide studies across different age groups and tissues.

This paper shows that GWAS using minimal phenotyping for depression identifies non-specific genetic factors shared with other psychiatric conditions, not specific to major depressive disorder.

This study identifies 12 genetic loci associated with loneliness and finds genetic correlations with 34 health outcomes, including cardiovascular and psychiatric disorders.

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 identifies 202 genome-wide significant loci for insomnia using a large sample, linking them to specific brain cell types and pathways.