Work

eLife Assessment: 3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity

Year: 2025

Type: peer-review

Abstract: eLife AssessmentThis important study presents genome-wide high-resolution chromatin-based 3D genomic interaction maps for over 50 diverse human cell types and integrates these data with pediatric obesity GWAS.The work provides convincing evidence that multiple pancreatic islet cell types are key effector cell types.The authors also perform variant-to-gene mapping to nominate genes underlying several GWAS hits.Overall, the results will be of interest to both the fields of 3D genome architecture and pediatric obesity.

DOI: 10.7554/elife.95411.3.sa0

Author: Stephen CJ Parker

Institution: University of Michigan

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Funders: Children's Hospital of Philadelphia, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1148736861, G1447905951, G2448458586, G3882732315, Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell Approaches, G5946272055, Functional Interrogation of T2D-associated genes in human stem cell-derived models and mice, G8558378876, G9000075874

OpenAlex ID: W4406433592

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