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

Author:

Trang Khanh B12ORCID,Pahl Matthew C12,Pippin James A12,Su Chun12,Littleton Sheridan H1234ORCID,Sharma Prabhat15,Kulkarni Nikhil N15,Ghanem Louis R6,Terry Natalie A6,O’Brien Joan M78,Wagley Yadav9,Hankenson Kurt D9,Jermusyk Ashley10,Hoskins Jason W10,Amundadottir Laufey T10,Xu Mai10,Brown Kevin M10ORCID,Anderson Stewart A1112,Yang Wenli1314,Titchenell Paul M1315,Seale Patrick1314,Cook Laura161718,Levings Megan K192021ORCID,Zemel Babette S622ORCID,Chesi Alessandra123,Wells Andrew D152324,Grant Struan FA1241322ORCID

Affiliation:

1. Center for Spatial and Functional Genomics, The Children’s Hospital of Philadelphia

2. Division of Human Genetics, The Children’s Hospital of Philadelphia

3. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania

4. Department of Genetics, Perelman School of Medicine, University of Pennsylvania

5. Department of Pathology, The Children’s Hospital of Philadelphia

6. Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia

7. Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania

8. Penn Medicine Center for Ophthalmic Genetics in Complex Disease

9. Department of Orthopedic Surgery University of Michigan Medical School Ann Arbor

10. Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute

11. Department of Child and Adolescent Psychiatry, Children’s Hospital of Philadelphia

12. Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania

13. Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania

14. Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania

15. Department of Physiology, Perelman School of Medicine, University of Pennsylvania

16. Department of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity

17. Department of Critical Care, Melbourne Medical School, University of Melbourne

18. Division of Infectious Diseases, Department of Medicine, University of British Columbia

19. Department of Surgery, University of British Columbia

20. BC Children’s Hospital Research Institute

21. School of Biomedical Engineering, University of British Columbia

22. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania

23. Department of Pathology, Perelman School of Medicine, University of Pennsylvania

24. Institute for Immunology, Perelman School of Medicine, University of Pennsylvania

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 57 human cell types, consisting of high-resolution promoter-focused Capture-C/Hi-C, ATAC-seq, and RNA-seq, we applied stratified LD score regression and calculated the proportion of genome-wide SNP heritability attributable to cell type-specific features, revealing pancreatic alpha cell enrichment as the most statistically significant. Subsequent chromatin contact-based fine-mapping was carried out for genome-wide significant childhood obesity loci and their linkage disequilibrium proxies to implicate effector genes, yielded the most abundant number of candidate variants and target genes at the BDNF , ADCY3, TMEM18 and FTO loci in skeletal muscle myotubes and the pancreatic beta-cell line, EndoC-BH1. One novel implicated effector gene, ALKAL2 – an inflammation-responsive gene in nerve nociceptors – was observed at the key TMEM18 locus across multiple immune cell types. Interestingly, this observation was also supported through colocalization analysis using expression quantitative trait loci (eQTL) derived from the Genotype-Tissue Expression (GTEx) dataset, supporting an inflammatory and neurologic component to the pathogenesis of childhood obesity. Our comprehensive appraisal of 3D genomic datasets generated in a myriad of different cell types provides genomic insights into pediatric obesity pathogenesis.

Publisher

eLife Sciences Publications, Ltd

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