Lars Lind

This study identifies plasma proteins associated with insulin sensitivity across diverse populations and shows their response to interventions, with some proteins suggesting causal relationships and therapeutic targets.

This study identifies 80 genetic loci and 61 effector genes associated with dilated cardiomyopathy through GWAS and integrates transcriptomic data to uncover biological pathways and cellular states involved in the disease.

The paper investigates genetic overlaps between neuropsychiatric disorders and insulin-related diseases, finding significant genetic correlations and suggesting potential clusters of disorders with divergent pleiotropic effects.

This study identifies 592 genetic loci associated with 184 plasma proteins in 26,494 individuals and finds causal relationships between protein levels and disease.

The paper identifies pQTLs for cardiovascular proteins and uses them to evaluate drug targets and suggest new candidates for precision medicine.

The paper analyzes genetic variants at the PCSK9 locus to assess their phenotypic effects on lipid levels and disease outcomes, finding concordance with PCSK9 inhibitor trials for myocardial infarction but discordance for type 2 diabetes.

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 conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

This study expands the genetic landscape of COPD by identifying 82 risk loci, revealing associations with lung function, cell types, and comorbidities.

The paper identifies 279 new genetic signals for lung function across multiple ancestries, showing associations with COPD and pleiotropic effects.

The paper analyzes gene expression and splicing changes in human aging using longitudinal RNA sequencing data from the PIVUS study, finding stability in most genetic regulation but dynamic changes in a subset of genes.

This study identifies 93 genetic loci associated with kidney function across four ancestry groups and highlights causal effects on kidney-related diseases.

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

This study evaluates the use of whole blood transcriptome sequencing for diagnosing rare diseases, finding an 8.5% diagnostic rate across 56 undiagnosed cases.

This study identifies age-related DNA methylation changes in old Swedish twins over 20 years, showing stability across cohorts and genetic influences independent of age.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.

The paper develops a workflow for large-scale non-targeted metabolomic profiling in human studies, detecting over 8,000 metabolic features and identifying 90 metabolites associated with hsCRP.