生物
计算生物学
遗传学
人类遗传学
基因组
人类基因组
基因座(遗传学)
表达数量性状基因座
人口
全基因组关联研究
插补(统计学)
基因
人类白细胞抗原
数量性状位点
医学遗传学
群体遗传学
遗传关联
基因组学
人类遗传变异
结构变异
串联重复
进化生物学
编码
调节顺序
微卫星
基因定位
个性化医疗
工作流程
特质
遗传变异
作者
Yifei Wang,Zhongqu Duan,Chen D. Lu,Dandan Shi,Yi Ding,Zhibin Wang,Baoqing Li,Zhiyi Wang,Minmin Guo,Wen Yang,Junren Hou,Wenhao Chen,Yazhou Guo,Wenjie Wei,Yujie Cao,Xiwei Sun,Weiyang Bai,Mingfei Lu,Ting Qi,Xian Shen
出处
期刊:Nature
[Nature Portfolio]
日期:2026-04-01
标识
DOI:10.1038/s41586-026-10315-y
摘要
, constrained by small sample sizes, provide limited utility for medical and population genetic applications. Here we generated 1,116 diploid genome assemblies (55 de novo and 1,061 pangenome-informed) with an average size of 2.98 Gb and a mean quality value of 46 as part of the 1000 Chinese Pangenome (1KCP) project. On the basis of these assemblies, we constructed a pangenome comprising 405.3 million base pairs of sequences absent from the current references GRCh38 and CHM13, including 26.2 million base pairs of functional genic and predicted regulatory elements. We catalogued a full spectrum of genetic variation, including 35.4 million small variants, 110,530 structural variants (SVs), 485,575 tandem repeats (TRs) and 0.86 million nested variants embedded in non-reference sequences. This extensive dataset enabled detailed characterization of multiscale genic variations relevant to medical genetics, including gene-altering SVs, TR expansions, gene cluster variations and HLA gene haplotypes. Coupled with the 1KCP gene expression data, we conducted pan-variant expression quantitative trait locus (eQTL) mapping to analyse diverse variant types. We identified 3,256 eQTLs involving complex variants (SVs, TRs and nested variants) and elucidated their regulatory complexity. Finally, we developed a 1KCP pan-variant imputation reference panel, which provides multitype genetic markers to enhance the resolution of future association studies. This resource advances our understanding of complex variants and their functional implications to provide new insights into human health.
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