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Renin gene haplotype diversity and linkage disequilibrium in two Mexican and one German population samples

2010/12/16 by Laura Leticia Valdez-Velázquez, Francisco Mendoza‐Carrera, Sandra A Perez-Parra +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Allele #Allele frequency #Biology #Candidate gene #Gene #Genetic Associations and Epidemiology #Genetic association #Genetics #Genetics and Physical Performance #Genotype #Haplotype #Linkage disequilibrium #Medicine #Population #Renin-Angiotensin System Studies #Single-nucleotide polymorphism

paper · doi:10.1177/1470320310388440

openalex publication_date 2010/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Abstract

INTRODUCTION: Renin is the main rate-limiting enzyme in the renin-angiotensin-aldosterone system. Its gene, REN, is a candidate crucial factor in essential hypertension and cardiovascular disease. The aim of this study was to evaluate allele and haplotype distributions of REN polymorphisms, and to estimate normalised linkage disequilibrium (D') in Mexican and German populations. MATERIALS AND METHODS: Four groups were studied for the REN single nucleotide polymorphisms (SNPs) 1205C>T, 1303G>A, and 10607G>A, in population samples of Mexican Mestizo (n = 86), Mexican Huichol (n = 49), German (n = 39), and individuals with hypertension diagnosis (n = 66). Polymorphisms were detected by PCR-RFLP. Genotype, allele and haplotype frequencies were estimated. RESULTS: SNP 1205C>T and 10607G>A allele and genotype distribution showed inter-group differences. The 1205T and 10607A allele showed a significance difference in hypertensive population. Haplotype analysis also showed some inter-group differences, especially in 1205C-1303G-10607G, 1205C-1303G-10607A and 1205T-1303G-10607G haplotypes. The segregation analysis disclosed complete linkage disequilibrium between 1205 and 1303 loci. CONCLUSION: These results provide an example of genetic diversity in related populations and illustrate the convenience of increasing the number of loci in associative studies between diseases and candidate genes.

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