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Published on: April 1, 2019
AGT, CYP11B2 & ADRB2 gene polymorphism & essential hypertension (HT): A meta-analysis
Nur Hasnah Maamor1,2, Johanrizwal Ismail3,4,5, Khasnur Abd Malek6
1Faculty of Medicine & Health Sciences, UCSI University, UCSI Hospital, Negeri Sembilan, Malaysia.
Genetic variants associated with hypertension (HT) differ across populations. This meta-analysis considered genetic ancestry, finding specific SNPs linked to HT in Indian, European, and East Asian ancestries, crucial for personalized medicine.
Area of Science:
- Genetics
- Cardiovascular Disease Epidemiology
- Pharmacogenetics
Background:
- Genetic association studies for hypertension (HT) show conflicting results across diverse populations.
- Previous meta-analyses often overlooked population genetic ancestry as a confounding factor.
- Candidate gene variants (AGT-rs699, CYP11B2-rs1799998, ADRB2-rs1042713, rs1042714) have been implicated in HT.
Purpose of the Study:
- To re-evaluate and consolidate findings on the association between selected genetic variants and hypertension.
- To account for population genetic ancestry by categorizing data based on ancestry and/or geographical populations.
- To provide updated insights into the genetic basis of hypertension across different ancestries.
Main Methods:
- Systematic literature search of PubMed, Cochrane, and World of Science databases.
- Categorization of retrieved studies based on known genetic and/or geographical ancestry.
- Meta-analysis of genotype and allele data for specific single nucleotide polymorphisms (SNPs) in relation to hypertension.
Main Results:
- AGT-rs699-G showed significant association with HT in Indians (allele and dominant mode).
- CYP11B2-rs1799998-G was significantly associated with HT in Europeans (allele, recessive, and dominant modes).
- ADRB2-rs1042713-G was significantly associated with HT in East Asians (allele and recessive modes).
Conclusions:
- Genotype and allele frequencies vary significantly across diverse populations, leading to differential genetic associations with hypertension.
- This meta-analysis highlights population-specific genetic associations for selected SNPs and hypertension.
- Findings offer essential insights for selecting appropriate pharmacogenetic markers for effective hypertension management in diverse ancestral populations.
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