SEGMENT – Single-cell Genomics to Map Diabetes and Obesity Heterogeneity

The overarching aim of the SEGMENT project is to combine human single-cell genomics data and large-scale genome-wide association data to generate cell-type- and tissue-partitioned gene risk scores to stratify the population into cell type specific disease risk and to gain novel biological insights.





Better subtyping of individuals with type 2 diabetes (T2D) and obesity is currently hindered by our incomplete understanding of the molecular processes driving metabolic disease etiology. Genetic association studies, in theory, provide a robust means to understand genes and biological pathways driven disease heterogeneity, however, insights into effector genes, cell types and biological pathways remain elusive.

If successful, SEGMENT will accelerate our understanding of phenotypic heterogeneity in metabolic disease, prioritize genes and biological pathways for follow-up experiments, allow for recall by risk genotype-based physiological studies, which in sum would pave the way for non-invasive subtyping of persons at cardiometabolic risk.







































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Flagship contact

Portrait of Associate Professor Niels Grarup

Niels Grarup
Associate Professor

Phone +45 3533 7126

Portrait of Associate Professor Tune H. Pers

Tune H Pers
Associate Professor

Phone +45 3533 5755

Portrait of Postdoc Rikard Göran Fred

Rikard Göran Fred

Phone +45 35 32 64 78