亚胺和抗体蛋白质测量的交叉祖先比较
Jayna C Nicholas1, Daniel H Katz2, Usman A Tahir3
1Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Nature communications
|January 22, 2026
概括
蛋白质测量平台显示的相关性很差,但对蛋白质改变基因变异的计算提高了准确性. 了解这些跨祖先的变异是可靠蛋白质组数据的关键.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 遗传学 遗传学 是一个
- 人口遗传学 人口遗传学
背景情况:
- 亲和蛋白质组学平台通常会产生与蛋白质相关性差的测量结果.
- 这阻碍了对蛋白质与遗传变异和表型的关联的解释.
- 跨平台的变化使大规模的蛋白质组学研究复杂化.
研究的目的:
- 为了研究两个主要的亲和蛋白质组学平台 (SomaScan 7k和Olink Explore 3072) 之间的相关性.
- 评估蛋白质改变基因变异对跨平台相关性和与表型的关联的影响.
- 评估祖先如何影响这些关系,并探索改善数据一致性的方法.
主要方法:
- 在 SomaScan 7k 和 Olink Explore 3072 平台上对 2157 种蛋白质进行了比较测量.
- 分析了来自1930年代表不同祖先 (欧洲,非洲,东亚,混合美国) 的参与者的数据.
- 评估了蛋白质测量和遗传变异,特别是蛋白质改变变异之间的关联,并根据它们的影响进行了调整.
主要成果:
- 蛋白质的跨平台相关性显示出双模分布,中位数r为0.30.
- 每个平台上大约有25-30%的信号归因于改变蛋白质的变种.
- 确定了80种蛋白质,它们在祖先之间有不同的相关性,与变异频率变化有关.
- 为蛋白质改变变异进行调整,改善了基因和表型关联的平台间相关性和一致性.
结论:
- 改变蛋白质的遗传变异对平台间相关性和关联性研究产生重大影响.
- 对跨不同祖先的这些变异进行核算对于准确和一致的蛋白质测量至关重要.
- 这种方法提高了用于遗传和表型关联研究的蛋白质组数据的可靠性.
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