Nature CommunicationsGenetic & Genomic MedicinePeer-reviewed journal article
Long-read sequencing of 945 Han individuals identifies novel structural variants associated with phenotypic diversity and disease susceptibility
Jiao GongiD, Huiru Sun, Kaiyuan WangiD, Zhao YanhuiiD, Yechao Huang, Qinsheng Chen, Hui Qiao, Yang GaoiD, Jialin ZhaoiD, Yunchao LingiD, Ruifang CaoiD, Jingze TaniD, Qi WangiD, Yanyun MaiD, Jing LiiD, Jingchun LuoiD, Sijia WangiD, Jiucun WangiD, Guoqing ZhangiD, Shuhua XuiD, Feng QianiD, Fang ZhouiD, Huiru TangiD, Dali LiiD, Fritz Joachim SedlazeckiD, , Shaohua FaniD
Abstract
Genomic structural variants (SVs) are a major source of genetic diversity in humans. Although numerous studies explore SV diversity across global populations and their potential impacts1-3, validation using model systems are needed to confirm the reported genotype-phenotype associations. Here, through long-read sequencing of 945 Han Chinese genomes, we identify 111,288 SVs, including 24.56% unreported variants, many predicted to be functionally important. Our analysis unveils the multifaceted origins of these SVs within the Han population, with approximately 24% emerging at the common ancestor of modern humans. By integrating human population-level phenotypic, metabolic, and immunologic data and two humanized mouse models, we demonstrate the causal roles of two SVs: one SV that emerges at the common ancestor of modern human and Neanderthal and Denisova in GSDMD for bone density and one modern-human-specific SV in WWP2 impacting height, weight, fat, craniofacial phenotypes, and innate immunity. Some of these phenotypes were previously unreported and irreproducible phenotypes in mouse knockout experiments. Our results suggest that the SV in GSDMD could serve as a rapid and cost-effective predictive biomarker for evaluating GSDMD-mediated pyroptosis in multiple organ injuries, including cisplatin-induced acute kidney injury. While initially identified in the Han, the functional conservation from human to mouse, signals of positive natural selection specifically in non-African populations including the Han, and associations with multiple disease risks, suggest that both SVs likely influence local adaptation, phenotypic diversity, and disease susceptibility across many non-African populations.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: differential expression
- research focus: GWAS / association mapping
- research focus: polygenic risk
- approach: statistical model
- approach: experimental assay
- Citations
- 18
- FWCI
- 9.34
- Field percentile
- top 1%
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