Trang Khanh B, Pahl Matthew C, Pippin James A, Su Chun, Littleton Sheridan H, Sharma Prabhat, Kulkarni Nikhil N, Ghanem Louis R, Terry Natalie A, O'Brien Joan M, Wagley Yadav, Hankenson Kurt D, Jermusyk Ashley, Hoskins Jason W, Amundadottir Laufey T, Xu Mai, Brown Kevin M, Anderson Stewart A, Yang Wenli, Titchenell Paul M, Seale Patrick, Cook Laura, Levings Megan K, Zemel Babette S, Chesi Alessandra, Wells Andrew D, Grant Struan F A
Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
medRxiv. 2024 Aug 13:2023.08.30.23294092. doi: 10.1101/2023.08.30.23294092.
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 , , and loci in skeletal muscle myotubes and the pancreatic beta-cell line, EndoC-BH1. One novel implicated effector gene, - 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.
全球儿童肥胖症的患病率正在上升,同时在成年后期还伴随着2型糖尿病和心血管疾病等相关常见合并症。受强大遗传因素证据的推动,我们之前针对儿童肥胖症的全基因组关联研究(GWAS)发现了该性状的19个独立信号;然而,这些基因座的作用机制仍有待阐明。为了从分子层面表征这些儿童肥胖症基因座,我们试图确定不同细胞环境中的潜在因果变异和相应的效应基因。我们将儿童肥胖症GWAS汇总统计数据与我们现有的针对57种人类细胞类型的3D基因组数据集相结合,该数据集由高分辨率的以启动子为重点的Capture-C/Hi-C、ATAC-seq和RNA-seq组成,我们应用分层LD评分回归并计算了可归因于细胞类型特异性特征的全基因组SNP遗传力比例,结果显示胰腺α细胞富集在统计学上最为显著。随后,我们对全基因组显著的儿童肥胖症基因座及其连锁不平衡代理进行了基于染色质接触的精细定位,以确定效应基因,在骨骼肌肌管和胰腺β细胞系EndoC-BH1中的 、 、 和 基因座产生了数量最多的候选变异和靶基因。在多个免疫细胞类型的关键TMEM18基因座处观察到一个新的潜在效应基因——神经伤害感受器中的炎症反应基因 。有趣的是,使用来自基因型-组织表达(GTEx)数据集的表达数量性状基因座(eQTL)进行的共定位分析也支持了这一观察结果,这支持了儿童肥胖症发病机制中的炎症和神经学成分。我们对在众多不同细胞类型中生成的3D基因组数据集的全面评估为儿童肥胖症发病机制提供了基因组学见解。