Vilmundur G. Gudnason

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

This study examines the long-term temporal stability of 7,288 circulating proteins in older adults over five years, identifying factors like genetic effects and disease stage that influence stability.

This study identifies low-frequency genetic variants influencing serum protein levels, showing increased genetic signals and allelic heterogeneity in cis-regulation.

The paper identifies plasma proteins associated with diffusion tensor imaging biomarkers of white matter injury and suggests potential causal relationships using Mendelian randomization.

This study compares observational and Mendelian Randomization estimates of cardiometabolic proteomic signatures, finding that reverse causation predominantly shapes proteomic associations.

The paper integrates GWAS meta-analysis with human brain cell mapping to identify genetic loci and cell types involved in tinnitus, implicating the amygdala and midbrain.

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

This paper uses genetic data to investigate the causal relationships between vascular traits like white matter hyperintensity, blood pressure, and stroke with dementia and Alzheimer's disease risk.

This study performs a meta-analysis of GWAS to identify new genetic loci associated with all-cause and vascular dementia, revealing shared and distinct risk factors.

This study identifies a proteogenomic signature in blood associated with age-related macular degeneration, linking serum proteins to disease severity and progression.

This study identifies 4,113 genetic associations with serum proteins in 5,368 individuals, revealing shared loci between proteins and common diseases.

This study identifies new genetic loci associated with myocardial infarction and coronary heart disease using genome-wide association analyses across multiple cohorts.

This study uses deep serum proteomics to identify 20 protein biomarkers for predicting type 2 diabetes and finds 48 proteins with causal roles in its development.

The paper identifies 2019 exome array variants affecting 2135 serum proteins and their association with hundreds of complex disease traits in the AGES Reykjavik cohort.

This study identifies three new genetic loci associated with idiopathic pulmonary fibrosis and confirms 11 previously reported ones, highlighting mTOR signaling and mitotic spindle-assembly genes in disease susceptibility.

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 study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper develops an NGS panel to identify pathogenic LDLR mutations in Icelandic FH families and population-based samples with high cholesterol.

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

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.