Journal article

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

Khanh B Trang, Matthew C Pahl, James A Pippin, Chun Su, Sheridan H Littleton, Prabhat Sharma, Nikhil N Kulkarni, Louis R Ghanem, Natalie A Terry, Joan M O'Brien, Yadav Wagley, Kurt D Hankenson, Ashley Jermusyk, Jason Hoskins, Laufey T Amundadottir, Mai Xu, Kevin Brown, Stewart Anderson, Wenli Yang, Paul Titchenell Show all

eLife | eLife Sciences Publications, Ltd | Published : 2025

Abstract

The prevalence of childhood obesity is increasing worldwide, along with the associated common comorbidities of type 2 diabetes and cardiovascular disease in later life. Motivated by evidence for a strong genetic component, our prior genome-wide association study (GWAS) efforts for childhood obesity revealed 19 independent signals for the trait; however, the mechanism of action of these loci remains to be elucidated. To molecularly characterize these childhood obesity loci, we sought to determine the underlying causal variants and the corresponding effector genes within diverse cellular contexts. Integrating childhood obesity GWAS summary statistics with our existing 3D genomic datasets for 5..

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University of Melbourne Researchers