Annette Peters

This study examines the association between childhood adversity and adult substance use in Germany, finding stronger links with opioid and stimulant use and identifying distinct substance use profiles.

The paper develops a proteomic aging clock using longitudinal plasma proteomics data to show that biological aging is dynamically influenced by modifiable risk factors.

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

The paper analyzes IgE patterns and gut microbiome data from 508 adults to identify microbial correlates of IgE sensitization, finding specific taxa and metabolic groups associated with different allergen sources.

The paper develops an age-informative polygenic score for kidney function and shows it improves prediction of eGFR and decline compared to an age-agnostic score.

The paper finds that higher serum theobromine levels are associated with slower epigenetic ageing in humans, as measured by GrimAge and DNAmTL.

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

LEOPARD completes missing views in multi-timepoint omics data by disentangling content and temporal representations, outperforming existing methods on benchmark datasets.

The paper develops an interpretable multimodal machine learning framework to predict distal sensorimotor polyneuropathy using clinical and molecular data, identifying key biomarkers and improving prediction accuracy with additional molecular modalities.

CODI improves ML model generalization by integrating synthetic out-of-distribution data into molecular fingerprint datasets, enhancing classification accuracy in longitudinal clinical studies.

The paper uses proteogenomic integration to identify CXCL10 as a mediator of IL-6 signaling effects on atherosclerosis, showing its association with cardiovascular disease risk and lesion characteristics.

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

The paper reconstructs regulatory networks underlying trans-QTL hotspots using human multi-omics data and biological priors, identifying novel networks related to schizophrenia and lean body mass.

The paper examines nc886 methylation across populations and tissues, finding stable levels except in specific tissues and some discordance in dizygotic twins.

The paper integrates DNA methylation with clinical risk factors to improve mortality prediction, identifying CpG biomarkers associated with all-cause, cardiovascular, and cancer mortality.

The paper introduces a causal inference framework to assess environmental exposure effects on the gut microbiome using observational data from the KORA cohort.

The paper develops epigenetic scores (EpiScores) for plasma proteins to predict disease risk, finding 137 associations with incident morbidities independent of known factors.

This study identifies DNA methylation sites associated with coffee and tea consumption using EWAS, finding potential links to fatty liver disease through PHGDH expression.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

This study performs a genome-wide association meta-analysis of early AMD, identifying 11 loci, 9 novel, and highlighting shared and distinct genetic factors between early and advanced AMD.

The paper investigates the LPA KIV-2 nonsense mutation R21X in 11,000 individuals, finding it associated with lower Lp(a) levels and linked to a splice mutation, highlighting the importance of LD structure in LPA genetics.

This study identifies 137 genome-wide significant loci associated with DNA methylation biomarkers of ageing using DNAm and SNP data from over 41,000 individuals.

The paper identifies a DNA methylation site in the LPA promoter associated with Lp(a) levels and shows that a SNP at this site influences Lp(a) through direct genetic effect, not methylation.

DeepWAS integrates regulatory effect predictions of variants into GWAS to identify regulatory SNPs associated with diseases and traits.

This study identifies 210 genetic loci associated with the PR interval through multi-ancestry GWAS, highlighting their role in cardiac conduction and cardiovascular disease.

This paper evaluates the causal effect of fibrinogen on coronary heart disease using Mendelian randomization, finding a small effect with multi-variant methods but not with single variant approaches.