Thomas Mears Werge

This study analyzes ancient DNA from three European sites to assess the genomic impact of the second plague pandemic, finding no strong positive selection but evidence of reduced long-range immigration post-pandemic.

This study evaluates polygenic risk scores (PRS) for colorectal cancer (CRC) screening, showing they stratify risk independently of ancestry and sex but offer limited additional predictive value when combined with FIT.

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

The paper develops a convolutional neural network to automate CNV validation, achieving high accuracy comparable to human visual inspection.

The paper shows genotype- and phenotype-based genetic instruments explain largely independent components of liability to psychiatric disorders, supported by theoretical analysis and simulations.

This study shows that as ASD and ADHD diagnoses have increased, the genetic risk associated with these conditions has decreased over time.

This study identifies synergistic sets of genetic risk variants in psychiatric disorders, suggesting subtypes and reinterpreting shared genetic effects.

The paper identifies rare missense variants in LAR that destabilize the extracellular domain, disrupt LAR:NGL-3 interactions, and impair synaptic adhesion and synaptogenesis.

This study identifies 30 genome-wide significant loci for obsessive-compulsive disorder (OCD) using a large GWAS, linking risk to specific brain cell types and shared genetic risk with other psychiatric and non-psychiatric traits.

This study examines how rare copy number variants and polygenic scores jointly affect psychiatric disorder risk in a large population sample, finding no significant interaction between the two factors.

This study conducts a large-scale GWAS of OCD, identifying 15 new genome-wide significant loci and linking OCD to multiple cortical regions and cell types.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

The paper shows that PHQ9 and CIDI-SF MDD symptoms have low to moderate genetic correlations, with distinct associations to dysphoria and symptom heterogeneity.

This study examines the genetic and phenotypic links between neonatal C3 and C4 protein concentrations and psychiatric and autoimmune disorders, finding no strong causal associations with mental disorders but evidence of lower autoimmune risk with higher C4 levels.

This study investigates whether birth weight has a direct causal effect on psychiatric disorders later in life using Mendelian randomization, finding no direct causal relationship.

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

ADuLT is a time-to-event GWAS method that outperforms Cox regression in strongly ascertained studies, finding more genome-wide significant associations in psychiatric disorder analyses.

The paper estimates population-based risks of psychiatric disorders associated with 34 recurrent CNVs using a large case-cohort sample, finding moderate risks for ADHD, autism, and schizophrenia, but not depression.

The paper identifies two disruptive SERT variants in treatment-resistant affective disorder patients and shows they cause partial loss-of-function, with one variant responsive to pharmacochaperoning.

This study identifies 64 new risk loci for major depression, refines its genetic architecture, and shows strong genetic overlap with other psychiatric disorders and educational attainment.

The paper introduces PA-FGRS, a method to estimate genetic liability from family records, and shows it improves MDD classification and GWAS power when combined with genotypes.

The paper introduces a deep learning framework for polygenic risk score prediction, showing improved performance over traditional methods for various diseases.

This study identifies genetic loci associated with vitamin D-binding protein and 25 hydroxyvitamin D in neonates and links DBP to vitamin D status and disease risk.

The paper evaluates how haplotype estimation and whole genome imputation accuracy vary with data integration protocols and phasing methods in a large psychiatric biobank dataset.

This study identifies genetic overlaps between psychiatric disorders, language ability, and creativity through a GWAS of school grades.

This study investigates genetic variants in hydrocephalus patients and finds associations with ciliopathies and autism spectrum disorder using the iPSYCH cohort.

This paper shows that cross-trait assortative mating explains genetic correlations between traits, suggesting many reported genetic similarities may be overestimated.

This paper introduces a framework to enhance polygenic prediction by combining multiple polygenic scores, showing significant accuracy improvements for psychiatric disorders and other traits.

This study investigates the association between mitochondrial DNA haplogroups and hydrocephalus using a nested case-cohort design, finding no significant association.

This paper improves genetic studies of MDD by integrating shallow and deep phenotypes, enhancing GWAS power and PRS accuracy while preserving specificity.