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Proteogenomic analysis integrated with electronic health records data reveals disease-associated variants in Black Americans
The Journal of Clinical Investigation ( IF 13.3 ) Pub Date : 2024 , DOI: 10.1172/jci181802
Usman A. Tahir, Jacob L. Barber, Daniel E. Cruz, Meltem Ece Kars, Shuliang Deng, Bjoernar Tuftin, Madeline G. Gillman, Mark D. Benson, Jeremy M. Robbins, Zsu-Zsu Chen, Prashant Rao, Daniel H. Katz, Laurie Farrell, Tamar Sofer, Michael E. Hall, Lynette Ekunwe, Russell P. Tracy, Peter Durda, Kent D. Taylor, Yongmei Liu, W. Craig Johnson, Xiuqing Guo, Yii-Der Ida Chen, Ani W. Manichaikul, Deepti Jain, NHLBI Trans-Omics for Precision Medicine Consortium, Thomas J. Wang, Alex P. Reiner, Pradeep Natarajan, Yuval Itan, Stephen S. Rich, Jerome I. Rotter, James G. Wilson, Laura M. Raffield, Robert E. Gerszten

BACKGROUND. Most GWAS of plasma proteomics have focused on White individuals of European ancestry, limiting biological insight from other ancestry-enriched protein quantitative loci (pQTL).

中文翻译:


与电子健康记录数据相结合的蛋白质基因组学分析揭示了美国黑人中与疾病相关的变异



背景。 血浆蛋白质组学的大多数 GWAS 都集中在具有欧洲血统的白人个体上,限制了来自其他血统丰富的蛋白质定量位点 (pQTL) 的生物学洞察力。
更新日期:2024-11-02
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