适应(眼睛)
高原(数学)
人口历史
疾病
进化生物学
生物
地理
局部适应
遗传学
基因
遗传变异
社会学
人口学
医学
人口
神经科学
病理
数学分析
数学
作者
Xinyu Lin,Yan Liu,J. H. Zhang,Juan Zhong,Shuhan Duan,Xiangping Li,Huang Su,Qing Yang,Xiaojun Liu,Qiuxia Sun,Chao Liu,Mengge Wang,Guanglin He,Yongsheng Ma
摘要
Abstract The genetic structure and population history of ethno‐linguistically diverse populations from the Yunnan–Guizhou Plateau remain underrepresented in human genomic research. We analyzed genome‐wide data from 239 individuals in Guizhou, combined with modern and ancient datasets, to investigate their fine‐scale genetic structure, demographic events, and functional consequences of adaptive genomic signatures. Our findings revealed three genetically distinct groups corresponding to linguistic categories, shaped by differential gene flow from ancient millet farmers and southern Chinese populations. We identified population‐specific adaptive candidate genomic regions associated with immune, metabolic, and hematological functions. Additionally, we detected clinically relevant variants with implications for disease risk prediction and precision medicine. These findings underscore the importance of genetic diversity in understanding human adaptation and health disparities, offering a framework for equitable genomic research in underrepresented populations.
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