多样性和规模:VA百万退伍军人计划中2,068个特征的遗传架构
Anurag Verma1,2,3, Jennifer E Huffman4,5,6, Alex Rodriguez7
1Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, 19104, USA.
medRxiv : the preprint server for health sciences
|July 10, 2023
概括
全基因组关联研究 (GWAS) 历来排除了多样化的种群. 这项研究分析了各种各样的美国退伍军人,揭示了许多特征的新型遗传关联,特别是在代表性不足的群体中.
科学领域:
- 遗传学 是一个遗传学.
- 人口遗传学 人口遗传学
- 基因组流行病学 基因组流行病学
背景情况:
- 全基因组关联研究 (GWAS) 从历史上看,非欧洲人群的代表性不足.
- 这种缺乏多样性限制了对不同祖先的健康和疾病特征遗传结构的理解.
研究的目的:
- 通过进行人口分层的全现象GWAS和元分析来解决遗传研究中的代表人数不足的问题.
- 识别与不同人群中广泛的特征相关的遗传变异,包括非洲人,混合美国人,东亚人和欧洲祖先.
主要方法:
- 种群分层的全现象GWAS和多种群的元分析.
- 利用了来自百万退伍军人计划 (MVP) 的635,969名美国退伍军人的电子健康记录.
- 基于1000个基因组项目参考面板定义的超级群体.
主要成果:
- 确定了38270个独立变异,与至少一个特征相关,具有实验范围的意义.
- 从613个特征到单个变体分辨率的精细映射6,318个信号.
- 发现了来自非欧洲祖先的参与者独特的2,069种特征关联,突出了多样性的重要性.
结论:
- 这项研究提供了一份综合的天文图谱,涵盖了不同种群的全现象遗传关联.
- 这些发现强调了在遗传研究中增加多样性的必要性,以充分描述复杂的特征架构.
- 这些结果有助于对代表性不足的群体健康和疾病的遗传基础的未来研究.
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