Our research focuses on the causes and consequences of diabetes and cardiovascular diseases, the identification of predictive biomarkers and lifestyle factors, and novel methods in disease surveillance. We apply traditional and modern methods for causal inference in large observational datasets, some of which our team have developed based on high-throughput molecular methods. These data include metabolomics, metagenomics, genomics, proteomics, and imiomics. We have also performed large register linkages and collected COVID-19 data through an innovative national syndromic surveillance app.
Tove Fall
Keywords
Key Publications
Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy
Arteriosclerosis, Thrombosis, and Vascular Biology, 2026
Sense of coherence and the cultural organisation of barriers to healthy eating and active living in socioeconomically disadvantaged neighbourhoods in Uppsala
Social Science & Medicine, 2026
Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease
European Heart Journal, 2026
The impact of child type 1 diabetes on parental incomes in a welfare state context: quasi-experimental evidence from Swedish national registers
Diabetologia, 2025
Plasma proteomic and metabolomic profiling of coronary and carotid atherosclerosis in the SCAPIS study—differences and similarities
Cardiovascular Research, 2025