Alexander Teumer

The paper examines how polygenic indices for educational attainment change across birth cohorts and regions in Germany, finding stronger associations in recent cohorts and the East but weaker effects for women.

This study performs a multi-trait GWAS on kidney filtration function and albuminuria, identifying distinct genetic signals and shared mechanisms.

The paper identifies contmeQTLs linking childhood adversity to epigenetic changes in immune cells, which are associated with disease risk and inflammatory profiles.

This study identifies 14 susceptibility loci for Ewing sarcoma through a genome-wide association meta-analysis, revealing genetic interactions with somatic EWSR1::FLI1 fusions.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

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.

The paper identifies a variant in DSP associated with QRS interval and shows that DSP-AS1 regulates DSP expression through functional and Mendelian randomization analyses.

This study identifies novel and known genetic contributors to hypertension using RNA-seq and eQTL analyses, highlighting potential drug targets and pathways.

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

OTTERS is a TWAS framework that uses summary-level eQTL reference data to estimate eQTL weights and perform omnibus TWAS, showing improved power and applicability.

This study investigates the genetic and environmental factors influencing head motion during MRI, finding no significant single variants and no mediation by physiological or psychological factors.

This paper introduces revTWMR, a method to determine causal relationships between gene expression and complex traits, finding that traits more strongly influence gene expression than vice versa.

The paper uses blood eQTL meta-analysis to explore the polygenic architecture of complex traits, finding that trans-eQTLs are more informative for identifying causal genes than cis-eQTLs.

The paper investigates genetic factors influencing a neurobiological substrate for psychiatric disorders and finds that a common genetic variant is associated with the substrate but not directly with disease risk.

This study identifies 15 genetic loci associated with muscle weakness in older adults through a large meta-analysis, revealing new pathways linked to aging and health outcomes.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

This paper identifies novel genetic loci for cardiac disorders by analyzing the morphological effects of genetic variants across the entire cardiac cycle represented by the ECG.

This study uses Mendelian randomization to assess if physical activity reduces Alzheimer's disease risk, finding no significant protective effect.

This study uses Mendelian randomization to assess if physical activity reduces lung cancer risk, finding no significant protective effect.

This study examines the genomic architecture of neuroanatomical diversity using SNP data and MRI, finding polygenic influences and environmental factors affecting brain asymmetry.

This study uses Mendelian randomisation to show higher kidney function causally lowers blood pressure, but blood pressure does not significantly affect kidney function.

This paper uses Mendelian Randomization to show that normal-range TSH levels and Hashimoto's Disease causally affect stroke and CAD risk, mediated through atrial fibrillation and BMI respectively.

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

The paper identifies 161 genome-wide significant genetic associations for cortical structure traits across 34 brain regions, highlighting key biological pathways and gene functions.

This study identifies a genome-wide significant association between a variant in the KCND3 gene and early repolarization pattern on ECG, suggesting a genetic basis for this trait.

The paper assesses if genetic risk for atrial fibrillation explains cardioembolic stroke risk using genome-wide data from the Stroke Genetics Network.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.

This study identifies 139 common and 4 rare genetic variants associated with type 2 diabetes through GWAS and integrates gene expression and epigenomic data to highlight potential functional genes and regulatory mechanisms.

The paper identifies gene targets for brain-related traits using transcriptomic and methylomic data from blood, finding strong correlations between genetic effects in brain and blood tissues.