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Y染色体短串联重复序列及基因组进化关联分析揭示中国西南地区食管癌群体的遗传史

Genetic history of esophageal cancer group in southwestern China revealed by Y-chromosome STRs and genomic evolutionary connection analysis.

作者信息

Jia Lihua, Wang Mengge, Duan Shuhan, Chen Jianghua, Zhao Mei, Ji Simeng, Lv Bingbing, Jiang Xiucheng, He Guanglin, Yang Junbao

机构信息

Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal diagnosis, Affiliated Hospital of Northern Sichuan Medical College, Nanchong, Sichuan, 637007, China.

Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.

出版信息

Heliyon. 2024 Apr 26;10(9):e29867. doi: 10.1016/j.heliyon.2024.e29867. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e29867
PMID:38720733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11076658/
Abstract

Genetic and environmental factors play crucial roles in the development of esophageal cancer (EC) and contribute uniquely or cooperatively to human cancer susceptibility. Sichuan is located in the interior of southwestern China, and the northern part of Sichuan is one of the regions with a high occurrence of EC. However, the factors influencing the high incidence rate of EC in the Sichuan Han Chinese population and its corresponding genetic background and origins are still poorly understood. Here, we utilized genome-wide single nucleotide polymorphisms (SNPs) and Y-chromosome short tandem repeats (Y-STRs) to characterize the genetic structure, connection, and origin of cancer groups and general populations. We generated Y-STR-based haplotype data from 214 Sichuan individuals, including the Han Chinese EC population and a control group of Han Chinese individuals. Our results, obtained from Y-STR-based population statistical methods (analysis of molecular variance (AMOVA), principal component analysis (PCA), and phylogenetic analysis), demonstrated that there was a genetic substructure difference between the EC population in the high-incidence area of northern Sichuan Province and the control population. Additionally, there was a strong genetic relationship between the EC population in the northern Sichuan high-incidence area and those at high risk in both the Fujian and Chaoshan areas. In addition, we obtained high-density SNP data from saliva samples of 60 healthy Han Chinese individuals from three high-prevalence areas of EC in China: Sichuan Nanchong, Fujian Quanzhou, and Henan Xinxiang. As inferred from the allele frequency of SNPs and sharing patterns of haplotype segments, the evolutionary history and admixture events suggested that the Han population from Nanchong in northern Sichuan Province shared a close genetic relationship with the Han populations from Xinxiang in Henan Province and Quanzhou in Fujian Province, both of which are regions with a high prevalence of EC. Our study illuminated the genetic profile and connection of the Northern Sichuan Han population and enriched the genomic resources and features of the Han Chinese populations in China, especially for the Y-STR genetic data of the Han Chinese EC population. Populations living in different regions with high incidences of EC may share similar genetic backgrounds, which offers new insights for further exploring the genetic mechanisms underlying EC.

摘要

遗传和环境因素在食管癌(EC)的发生发展中起着关键作用,它们对人类癌症易感性有着独特或协同的影响。四川位于中国西南部内陆,四川北部是食管癌高发地区之一。然而,影响四川汉族人群食管癌高发病率的因素及其相应的遗传背景和起源仍知之甚少。在此,我们利用全基因组单核苷酸多态性(SNP)和Y染色体短串联重复序列(Y-STR)来表征癌症群体和普通人群的遗传结构、联系及起源。我们从214名四川个体中生成了基于Y-STR的单倍型数据,其中包括汉族食管癌群体和汉族个体对照组。我们基于Y-STR的群体统计方法(分子方差分析(AMOVA)、主成分分析(PCA)和系统发育分析)得出的结果表明,四川省北部高发区的食管癌群体与对照群体之间存在遗传亚结构差异。此外,四川北部高发区的食管癌群体与福建和潮汕地区的高风险群体之间存在很强的遗传关系。此外,我们从来自中国食管癌三个高发地区(四川南充、福建泉州和河南新乡)的60名健康汉族个体的唾液样本中获得了高密度SNP数据。从SNP的等位基因频率和单倍型片段共享模式推断,进化历史和混合事件表明,四川省北部南充的汉族群体与河南省新乡市和福建省泉州市的汉族群体有着密切的遗传关系,这两个地区都是食管癌高发地区。我们的研究揭示了川北汉族人群的遗传特征和联系,丰富了中国汉族人群的基因组资源和特征,特别是汉族食管癌群体的Y-STR遗传数据。生活在不同食管癌高发地区的人群可能具有相似的遗传背景,这为进一步探索食管癌潜在的遗传机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/51d2f3e10dcb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/857d8925a6b0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/eade26b19bed/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/b5669828a1f4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/51d2f3e10dcb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/857d8925a6b0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/eade26b19bed/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/b5669828a1f4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/145c/11076658/51d2f3e10dcb/gr4.jpg

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