EHypertension: A prospective longitudinal multi‐omics essential hypertension cohort. Issue 2 (18th April 2022)

• Record Type: Journal Article
• Authors: Sun, Wei; Wang, Yifeng; Zhang, Haifeng; Sheng, Yanhui; Fan, Jingyi; Gu, Mingxia; Tian, Yunfan; Zhang, Yuqing; Ma, Hongxia; Yin, Xiaorong; Sun, Kangyun; Ding, Zheng; Hu, Zhibin; Chen, Lianmin; Kong, Xiangqing
• Is Part Of: IMeta. Volume 1:Issue 2(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-04-18
• Subjects: Metagenomics -- Periodicals; Bioinformatics -- Periodicals; Bioinformatics; Metagenomics; Metagenomics; Metagenome; Computational Biology; Periodicals; Periodical; 576.5
• DOI: 10.1002/imt2.22
• Languages: English
• ISSNs: 2770-596X

Abstract

Abstract : eHypertension is an essential hypertension cohort with multiple layers of omics data collected and will be followed up longitudinally. Randomized antihypertensive intervention has been set up in eHypertension. eHypertension is a unique cohort for studying the etiology and clinical outcome of hypertension. Interventions in eHypertension may contribute to the development of prediction models for personalized antihypertensive treatment.