Torben F. Hansen

multiomeR provides a reproducible R pipeline for analyzing large-scale single-nucleus Epi Multiome datasets, improving efficiency and reducing memory usage compared to existing workflows.

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

This study identifies 251 genetic variants influencing plasma proteins in Greenlandic Inuit, revealing population-specific associations with cardiometabolic disease.

This study identifies genetic subtypes of obesity that uncouple adiposity from cardiometabolic risks, revealing distinct biological pathways and protein associations.

This study identifies genetic regulation of plasma proteins in children and adolescents, finding obesity- and age-dependent pQTLs and potential causal links to cardiometabolic traits.

EIRsurvival predicts time-to-diagnosis using genetic and multi-omics data from large cohorts, achieving C-indices between 0.55 and 0.96.

This study identifies genetic determinants of plasma protein levels in children and adolescents using MS-based proteomics, revealing extensive genetic impacts that persist into adulthood.

This study shows that fecal microbial load, not disease, is the main driver of gut microbiome changes and identifies it as a major confounder in microbiome studies.

The paper identifies non-linear genetic regulation of plasma proteins using a deep learning method, finding dominance and epistasis effects in large cohorts.

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.

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

This study maps human glucokinase variant activity using a yeast complementation assay, identifying activity patterns linked to disease and providing insights for variant interpretation and therapeutic development.

The paper identifies splicing QTLs in human pancreatic islets that contribute to type 2 diabetes susceptibility by affecting gene splicing and revealing novel molecular mechanisms.

The paper investigates the impact of the LDLR p.G137S variant on metabolic health and cardiovascular disease risk in Greenlanders, finding it increases FH and cardiovascular disease risk in up to 30% of the population.

This study identifies 35 genes associated with circulating lipid levels using rare coding variants from 170,000 exomes across multiple ancestries.

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

This study identifies 5,552 blood-cell trait-variant associations across 746,667 individuals from 5 global populations, including 71 novel loci and ancestry-specific variants not found in European ancestry populations.

This study identifies 5,106 new genetic variants associated with blood cell traits using large-scale GWAS, highlighting the polygenic and monogenic basis of hematopoiesis.

This study develops machine learning models to predict liver fat content using multi-omic and clinical data from NAFLD patients, achieving higher accuracy than existing tools.

This study estimates narrow-sense heritability in admixed populations using simulations and proposes a PCA-based adjustment to improve accuracy.

The paper describes the fecal metabolome in cryogenically collected samples from healthy participants, identifying metabolites and their variation across different areas of the stool.

This study identifies microbiome determinants of hippurate, a metabolite linked to metabolic health, and demonstrates its protective effects in mice through benzoate-hippurate pathway analysis.

The paper links diabetes-associated enhancers with their target genes using 3D chromatin architecture in human pancreatic islets, revealing genetic variants that impact insulin secretion heritability.

This study identifies 15 common and 9 low-frequency protein-coding variants associated with body fat distribution, implicating novel genes related to lipid homeostasis and type 2 diabetes.

This study identifies over 50 new genetic loci associated with pulmonary function through a multiethnic meta-analysis of 90,715 individuals.

The paper reanalyzes T2D GWAS data to identify a rare X chromosome variant associated with increased T2D risk in males.