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Research Publication

Long-read sequencing of 945 Han individuals identifies structural variants associated with phenotypic diversity and disease susceptibility.

Gong Jiao, J Sun, Huiru H et al.

39929826 PubMed ID
42 Authors
2025-02-10 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GJ
Gong Jiao
JS
J Sun
HH
Huiru H
WK
Wang Kaiyuan
KZ
K Zhao
YY
Yanhui Y
HY
Huang Yechao
YC
Y Chen
QQ
Qinsheng Q
QH
Qiao Hui
HG
H Gao
YY
Yang Y
ZJ
Zhao Jialin
JL
J Ling
YY
Yunchao Y
CR
Cao Ruifang
RT
R Tan
JJ
Jingze J
WQ
Wang Qi
QM
Q Ma
YY
Yanyun Y
LJ
Li Jing
JL
J Luo
JJ
Jingchun J
WS
Wang Sijia
SW
S Wang
JJ
Jiucun J
ZG
Zhang Guoqing
GX
G Xu
SS
Shuhua S
QF
Qian Feng
FZ
F Zhou
FF
Fang F
TH
Tang Huiru
HL
H Li
DD
Dali D
SF
Sedlazeck Fritz J
FJ
FJ Jin
LL
Li L
GY
Guan Yuting
YF
Y Fan
SS
Shaohua S
Chapter II

Abstract

Summary of the research findings

Genomic structural variants (SVs) are a major source of genetic diversity in humans. Here, through long-read sequencing of 945 Han Chinese genomes, we identify 111,288 SVs, including 24.56% unreported variants, many with predicted functional importance. By integrating human population-level phenotypic and multi-omics data as well as two humanized mouse models, we demonstrate the causal roles of two SVs: one SV that emerges at the common ancestor of modern humans, Neanderthals, and Denisovans in GSDMD for bone mineral density and one modern-human-specific SV in WWP2 impacting height, weight, fat, craniofacial phenotypes and immunity. Our results suggest that the GSDMD SV could serve as a rapid and cost-effective biomarker for assessing the risk of cisplatin-induced acute kidney injury. The functional conservation from human to mouse and widespread signals of positive natural selection suggest that both SVs likely influence local adaptation, phenotypic diversity, and disease susceptibility across diverse human populations.

Chapter III

Analysis

Comprehensive review of ancestry and genetic findings

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Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment