HTSNPedia: A Molecular Perspective and Risk Estimator Database for Hypertension-Associated Genes.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jeyanthi Sankar, Agnal Arumugam, A Antony Prakash, Ling Shing Wong, Karthikeyan Muthusamy
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引用次数: 0

Abstract

Hypertension is a major public health concern, affecting more than one billion adults worldwide. The etiology of hypertension is associated with various genetic and epigenetic interactions. The candidate genes from various signaling pathways, such as RAAS, KKS and endothelin system, play a significant role in the progression of hypertension. The research aimed to develop a comprehensive knowledge base pertaining to hypertension, which would facilitate the integration of information related to SNPs associated with hypertension, pertinent biological pathways, risk assessment factors, molecular mechanisms, pharmacogenomic aspects of hypertension, a blood pressure calculator, and the existing literature on hypertension. This database has been implemented using HTML and Java programming languages. The deployment of the HTSNPedia database is expected to enhance the efficiency of identifying novel pharmacological drug candidates for the treatment of hypertension. A comprehensive understanding of the interrelationships among signaling pathways, molecular mechanisms, and risk-associated SNPs related to hypertension may significantly contribute to advancements in human health, particularly for individuals affected by this condition. The HTSNPedia is an openly accessible database, available at the following URL: https://www.generisk.in/HTSNPedia/main.html.

HTSNPedia:高血压相关基因的分子视角和风险估计数据库。
高血压是一个主要的公共卫生问题,影响着全世界超过10亿成年人。高血压的病因与多种遗传和表观遗传相互作用有关。RAAS、KKS、内皮素系统等多种信号通路的候选基因在高血压的发展过程中发挥重要作用。本研究旨在建立一个综合性的高血压知识库,整合与高血压相关的snp、相关生物学途径、风险评估因素、分子机制、高血压药物基因组学方面的信息、血压计算器以及现有的高血压文献。该数据库是使用HTML和Java编程语言实现的。HTSNPedia数据库的部署有望提高识别用于治疗高血压的新型候选药物的效率。全面了解与高血压相关的信号通路、分子机制和风险相关snp之间的相互关系,可能会显著促进人类健康的进步,特别是对受这种疾病影响的个体。HTSNPedia是一个开放访问的数据库,网址如下:https://www.generisk.in/HTSNPedia/main.html。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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