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Susceptibility gene identification and risk evaluation model construction by transcriptome-wide association analysis for salt sensitivity of blood pressure

Authors :
Han Qi
Yun-Yi Xie
Xiao-Jun Yang
Juan Xia
Kuo Liu
Feng-Xu Zhang
Wen-Juan Peng
Fu-Yuan Wen
Bing-Xiao Li
Bo-Wen Zhang
Xin-Yue Yao
Bo-Ya Li
Hong-Dao Meng
Zu-Min Shi
Yang Wang
Ling Zhang
Source :
BMC Genomics, Vol 25, Iss 1, Pp 1-15 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Salt sensitivity of blood pressure (SSBP) is an intermediate phenotype of hypertension and is a predictor of long-term cardiovascular events and death. However, the genetic structures of SSBP are uncertain, and it is difficult to precisely diagnose SSBP in population. So, we aimed to identify genes related to susceptibility to the SSBP, construct a risk evaluation model, and explore the potential functions of these genes. Methods and results A genome-wide association study of the systemic epidemiology of salt sensitivity (EpiSS) cohort was performed to obtain summary statistics for SSBP. Then, we conducted a transcriptome-wide association study (TWAS) of 12 tissues using FUSION software to predict the genes associated with SSBP and verified the genes with an mRNA microarray. The potential roles of the genes were explored. Risk evaluation models of SSBP were constructed based on the serial P value thresholds of polygenetic risk scores (PRSs), polygenic transcriptome risk scores (PTRSs) and their combinations of the identified genes and genetic variants from the TWAS. The TWAS revealed that 2605 genes were significantly associated with SSBP. Among these genes, 69 were differentially expressed according to the microarray analysis. The functional analysis showed that the genes identified in the TWAS were enriched in metabolic process pathways. The PRSs were correlated with PTRSs in the heart atrial appendage, adrenal gland, EBV-transformed lymphocytes, pituitary, artery coronary, artery tibial and whole blood. Multiple logistic regression models revealed that a PRS of P

Details

Language :
English
ISSN :
14712164
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.5f6f299cc5274be69bab189a99d265b1
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-024-10409-9