<?xml version="1.0" encoding="UTF-8"?>
<xml>
 <records>
  <record>
   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors>
     <author>Akhiiarova, K.E.</author>
     <author>Tyurin, A.V.</author>
     <author>Khusainova, R.I.</author>
    </authors>
   </contributors>
   <titles>
    <title>Molecular Pathogenesis of Joint Hypermobility: The Role of Intergenic Interactions</title>
   </titles>
   <keywords>
    <keyword>multifactor dimensionality reduction</keyword>
    <keyword>SNP</keyword>
    <keyword>joint hypermobility</keyword>
    <keyword>Scopus</keyword>
    <keyword>Web of Science</keyword>
   </keywords>
   <dates>
    <year>2025</year>
    <pub-dates>
     <date>2026-05-02</date>
    </pub-dates>
   </dates>
   <doi>10.3390/medsci13040223</doi>
   <journal>MEDICAL SCIENCES</journal>
   <abstract>Background: Joint hypermobility (JH) is an increase in the range of joint movements beyond&#13;
physiological limits. To date, there is no common understanding of the pathogenesis&#13;
of this condition. The aim of the study was to analyze the intergenic interactions of&#13;
SNPs of candidate genes involved in connective tissue metabolism in order to assess&#13;
their total contribution to the pathogenesis of JH. Methods: A single-stage cross-sectional&#13;
study was conducted with the participation of 181 healthy young men (N = 54) and&#13;
women (N = 127); the average age was 21.86 ± 0.22 years. JH was determined by the&#13;
Beighton scale (1998). SNPs of the VDR, LUM, GDF5, BMP5, TRPM6 and ADAMTS5&#13;
genes were identified. The analysis of gene–gene interactions was carried out using the&#13;
MDR and GeneMANIA.org, and protein–protein interactions were analyzed using STRING.&#13;
Results: Models of intergenic interactions were constructed: a one-factor model (rs11144134&#13;
(TRPM6)) and a three-factor model (rs229077 and rs9978597 of the ADAMTS5 gene and&#13;
rs11144134 of the TRPM6 gene), with the identification of risky genotypes. In addition,&#13;
the possible mechanisms of intergenic interaction were predicted. Interaction at the level&#13;
of expression products was found for GDF5 and ADAMTS5, and with the expansion of&#13;
the network, possible functional partner genes such as GREM2, HJV, and ACAN were&#13;
discovered. Conclusions: Models of intergenic interactions were constructed, a one-factor&#13;
model and a three-factor model, and the risk genotypes were identified. Rs11144134 of the&#13;
TRPM6 gene can be considered a promising new marker of JH.</abstract>
   <urls>
    <web-urls>
     <url>https://repo.bashgmu.ru/publication/5209</url>
    </web-urls>
    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/5402</url>
    </pdf-urls>
   </urls>
  </record>
 </records>
</xml>
