Hongru Li1, Sha Du1,2, Jinglan Dai1

  • 1Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.

iScience
|February 9, 2024
PubMed
概括

这项研究使用全蛋白质组门德尔随机化元分析确定了270种与肺癌风险相关的血蛋白. 与传统方法相比,一种新的因果蛋白风险评分证明了优越的肺癌风险预测.