Computational analysis of candidate disease genes and variants for Salt-sensitive hypertension in indigenous Southern Africans
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Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2010-09-27Permanent link to this record
http://hdl.handle.net/10754/325286
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Show full item recordAbstract
Multiple factors underlie susceptibility to essential hypertension, including a significant genetic and ethnic component, and environmental effects. Blood pressure response of hypertensive individuals to salt is heterogeneous, but salt sensitivity appears more prevalent in people of indigenous African origin. The underlying genetics of salt-sensitive hypertension, however, are poorly understood. In this study, computational methods including text- and data-mining have been used to select and prioritize candidate aetiological genes for salt-sensitive hypertension. Additionally, we have compared allele frequencies and copy number variation for single nucleotide polymorphisms in candidate genes between indigenous Southern African and Caucasian populations, with the aim of identifying candidate genes with significant variability between the population groups: identifying genetic variability between population groups can exploit ethnic differences in disease prevalence to aid with prioritisation of good candidate genes. Our top-ranking candidate genes include parathyroid hormone precursor (PTH) and type-1angiotensin II receptor (AGTR1). We propose that the candidate genes identified in this study warrant further investigation as potential aetiological genes for salt-sensitive hypertension. © 2010 Tiffin et al.Citation
Tiffin N, Meintjes A, Ramesar R, Bajic VB, Rayner B (2010) Computational Analysis of Candidate Disease Genes and Variants for Salt-Sensitive Hypertension in Indigenous Southern Africans. PLoS ONE 5: e12989. doi:10.1371/journal.pone.0012989.Publisher
Public Library of Science (PLoS)Journal
PLoS ONEPubMed ID
20886000PubMed Central ID
PMC2946338ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0012989
Scopus Count
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