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.

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Keywords
Key Publications
Plasma proteomic and metabolomic profiling of coronary and carotid atherosclerosis in the SCAPIS study—differences and similarities
Cardiovascular Research, 2025
Identification and interpretation of risk factors for Charcot foot. Reply to Milbourn VEL, Bus SA, Game F, van Netten JJ [letter]
Diabetologia, 2025
Bereavement and type 1 diabetes in childhood: a register-based cohort study in Sweden
Diabetologia, 2025
Cardiovascular events following coronavirus disease 2019 vaccination in adults: a nationwide Swedish study
European Heart Journal, 2025