Karin J. H. Verweij

The paper imputes fluid intelligence scores in a large cohort, reducing ascertainment bias and increasing power to detect genetic associations with common and rare variants.

The paper investigates factors linked to sexlessness in large populations, finding associations with education, lifestyle, personality, and genetic factors.

This paper reviews Mendelian Randomization studies on physical activity and brain health, finding mixed evidence for causal effects, with stronger support for sedentary behaviors and strength-related traits.

This study investigates genetic links between schizophrenia and arrhythmic disorders, finding specific genetic correlations and causal effects on Brugada syndrome and heart rate.

This study controls for geographic confounding in GWASs of 56 traits, showing that regional differences in SES reduce genetic signals for traits like education and income.

This study identifies 51 psycho-behavioral traits associated with the CADM2 gene through a phenome-wide scan in UK-Biobank, including novel links to sleep and dietary traits.

This study investigates genetic correlations and bidirectional effects between schizophrenia and cardiovascular disease, finding schizophrenia increases heart failure risk and early repolarization risk.

The paper investigates how genetic correlates of socio-economic status affect shared heritability across mental health traits using genome-wide association summary statistics.

The paper extends a genetic correlation analysis of psychiatric disorders by including substance use disorders, revealing changes in the latent genetic factor structure.

The paper uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed genes.

This study uses Mendelian Randomization to investigate causal relationships between insomnia and substance use, finding unidirectional and bidirectional effects.

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 uses Mendelian randomization to investigate bidirectional causal relationships between ADHD liability and substance use, finding evidence of causal effects in both directions for smoking and cannabis use.

The paper reanalyzes Domingue et al. (2018) and shows their claims of social genetic effects and genetic similarity among friends are not supported by the data.

The paper examines genetic clustering of complex traits and disease risk in Great Britain, finding that socio-economic status influences allele distribution and regional outcomes.

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

This study uses Mendelian randomization to find that higher BMI causes decreased subjective well-being and increased depressive symptoms, but not vice versa.

This study identifies 4 new risk loci for cannabis use through GWAS, finds genetic overlap with mental health, and shows a causal link between schizophrenia and cannabis use.

The paper shows that older fathers' children have lower fitness, with fewer surviving children across four populations and centuries, likely due to de novo mutations.