Anders Mälarstig

This study shows that KDM5 demethylases suppress R-loop formation in breast cancer cells, reducing DNA damage and enhancing immune-related gene expression without affecting normal cells.

This study identifies 1,242 novel genetic variants and 31 novel genes associated with frailty through genome-wide association and proteomics integration.

The paper creates a functional landscape of human solute carriers by integrating multi-omics data and curated knowledge, assigning functions to each SLC and providing a web-accessible resource.

This paper conducts a genome-wide association study to identify genetic variants associated with varenicline-aided smoking cessation using electronic health records.

This study conducts a genome-wide meta-analysis across three biobanks to identify new genetic loci associated with lumbar disc herniation, expanding the known genetic landscape.

The paper identifies genetic regulators of 184 neuro-related proteins in human plasma and links them to disease traits and drug targets.

This study identifies 40 circulating proteins associated with cancer risk using MR and colocalization, highlighting potential therapeutic targets and adverse effects of protein-altering interventions.

This paper identifies a protective association between apolipoprotein L1 polygenic risk scores and reduced risk of giant cell arteritis, supported by Mendelian randomization and pathway analysis.

The paper identifies pQTLs for 91 plasma proteins, finds novel associations, and uses MR to uncover causal roles in immune-mediated diseases, suggesting new therapeutic targets.

This study conducts a GWAS of preeclampsia and hypertensive disorders of pregnancy, identifying 18 genome-wide significant loci, including novel associations with blood pressure and placental function.

The paper develops genetic scores for 17,227 molecular traits using multi-omic data from INTERVAL and validates them across ancestries, demonstrating their utility in pathway analysis and disease association discovery.

Finnish-enriched low-frequency variants, often coding, underlie many GWAS signals across 1,932 register endpoints in 218,792 Finns; a 15-disease meta-analysis with Estonian and UK biobanks adds 30 unreported associations.

The paper identifies a proteomic signature associated with menopausal hormonal therapy use and increased breast cancer risk using a data-driven analysis of plasma proteins.

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

This study identifies IL-18 as a biomarker for reduced lung cancer risk using genetic, pre-diagnostic, and tumor expression data, with potential therapeutic implications.

The paper introduces a multivariate GWAS framework that identifies functional variants and disease associations by transforming multivariate results into univariate phenotypes for follow-up analysis.

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

The paper analyzes rare coding variants in smoking and drinking behavior using exome chip data, finding that they contribute to phenotypic variation but require larger samples for individual variant associations.

The paper investigates the CCL3L1-CCR5 axis in lung function using genetic data, finding no association between CCL3L1 copy number or CCR5del32 genotype and lung function.