Evidence map›Paper›PMID 37507644›Full record

ArticleBiochemical genetics2024

ACE Gene I/D Polymorphism and Cardiometabolic Risk Factors: A Cross Sectional Study of Rural Population.

Neha Kumari, Rajeev Ahirwar, Amarjeet Yadav, Lakshmy Ramakrishnan, Surender Kumar Sagar, Prakash Ranjan Mondal

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Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
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3 · Its place in the literature

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1 citing paper in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Neha KumariDepartment of Anthropology, University of Delhi, Delhi, 110007, India.
Rajeev AhirwarDepartment of Anthropology, University of Delhi, Delhi, 110007, India.
Amarjeet YadavDepartment of Anthropology, University of Delhi, Delhi, 110007, India.
Lakshmy RamakrishnanCardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, 110029, India.
Surender Kumar SagarDepartment of Zoology, Swami Shraddhanand College, University of Delhi, Delhi, 110036, India.
Prakash Ranjan MondalDepartment of Anthropology, University of Delhi, Delhi, 110007, India. prmondal1@rediffmail.com.
University of Delhi · INAll India Institute of Medical Sciences · IN

Funding

University of Delhi (IoE Grant No.: Ref. No./IoE/2021/12/FRP)
6 · The paper itself

Abstract

The D allele has been identified as being linked to cardiovascular disease since the discovery of an insertion/deletion (I/D) polymorphism in the ACE gene, this polymorphism has been found to have significant associations with a variety of cardiovascular risk factors. Recent findings indicate a rising prevalence of metabolic disorders among rural populations in developing nations. Research on health matters has been predominantly focused on urban populations, with relatively less attention given to their rural counterparts Hence, the present study attempts to estimate the prevalence of ACE gene I/D polymorphism and explore its association with various cardiovascular risk factors among Rural Yadav population from India. In the present study, 207 (Male 47, Female 160) members of the Yadav community participated in the cross-sectional study. All the socio-demographic factors, somatometric (anthropometric) variables, and the intravenous blood was collected and Physiological (blood pressure), and biochemical (fasting glucose and lipid profile) parameters were measured as recommended by the American Heart Association, allele-specific PCR of the ACE gene I/D polymorphism was carried out, the PCR products were genotyped on 2% agarose gel Electrophoresis and ACE gene polymorphism was analysed for its association with various cardiovascular risk factors. Among the analysed individuals, 34 (16.4%) were found to have the II genotype, 58 (28.0%) had the ID genotype, and 115 (55.6%) had the DD genotype. The allele frequency of the I allele was found to be 0.31, and the frequency of the D allele was 0.69. The frequency of the DD genotype was found to be significantly higher among individuals with high TC, high TG, and low non-HDL levels (p value < 0.05). When considered collectively, the findings of this study are consistent with the hypothesis that the DD genotype of ACE polymorphism represents a correlation with cardiovascular disease risk factors in this population.

Indexed as

Cardiovascular DiseasesCross-Sectional StudiesFemaleGenotypeHumansMalePeptidyl-Dipeptidase APolymorphism, GeneticRisk FactorsRural PopulationACE protein, humanPeptidyl-Dipeptidase AAngiotensin-converting enzymeCardiovascular diseaseDiabeticsGene polymorphismHypertensionInsertion/deletion polymorphism

Identifiers

PMID37507644
OpenAlexW4385377462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.