﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Nickan Research Institute</PublisherName>
      <JournalTitle>Journal of Renal Injury Prevention</JournalTitle>
      <Issn>2345-2781</Issn>
      <Volume>13</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month>12</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Association of AT1R (A1166C) gene polymorphisms and hypertension: A study in south Indian population and meta-analysis</ArticleTitle>
    <FirstPage>e32197</FirstPage>
    <LastPage>e32197</LastPage>
    <ELocationID EIdType="doi">10.34172/jrip.2024.32197</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Amulya</FirstName>
        <LastName>Ramakrishnegowda</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-7775-0980</Identifier>
      </Author>
      <Author>
        <FirstName>Sandhya</FirstName>
        <LastName>Suresh</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-8821-0579</Identifier>
      </Author>
      <Author>
        <FirstName>Ramprasad</FirstName>
        <LastName>Elumalai</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-2399-1698</Identifier>
      </Author>
      <Author>
        <FirstName>Harini</FirstName>
        <LastName>Ravi</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-5640-3675</Identifier>
      </Author>
      <Author>
        <FirstName>Gnanasambandan</FirstName>
        <LastName>Ramanathan</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4361-6679</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/jrip.2024.32197</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>04</Month>
        <Day>30</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2023</Year>
        <Month>06</Month>
        <Day>15</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Hypertension is a multi-factorial disease caused by several etiologies. It has been reported that hypertension has been linked to AT1R A1166C polymorphism, but the previous studies in Indian populations remain controversial. Objectives: In this study, we aimed to investigate the AT1R A1166C gene polymorphism with the risk of hypertension in the south Indian populations. Patients and Methods: The 179 subjects were considered in the association study utilizing polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) genotyping technique, yielding no significant association in the dominant and allelic models P=0.76 and P=0.76 respectively. Additionally, to determine the relationship between the AT1R gene A1166C polymorphism and hypertension in the Indian population, a metaanalysis was conducted. The retrieved seven case-control studies on Indian populations are conducted to determine how strongly genes are associated using the pooled odds ratio (OR) and 95% confidence intervals (CI). Results: The meta-analysis was performed by RevMan software and significant association was observed in the dominant (AA versus AC+CC, P=0.05), recessive (CC versus AA+AC, P=0.02) and allelic (A versus C, P=0.04) models respectively. Conclusion: The ‘C’ allele is statistically associated with an elevated hypertension risk in Indian populations. </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Hypertension</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Polymorphism</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">AT1R gene</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Meta analysis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Indian population</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">A1166C</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>