Genotypes of the UCP1 gene polymorphisms and cardiometabolic diseases: A multifactorial study of association with disease probability

Cardiometabolic diseases (CMDs) are complex disorders with a heterogenous phenotype, which are caused by multiple factors including genetic factors. Single nucleotide polymorphisms (SNPs) rs45539933 (p.Ala64Thr), rs10011540 (c.-112A>C), rs3811791 (c.-1766A>G), and rs1800592 (c.-3826A>G) in...

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Veröffentlicht in:Biochimie 2024-03, Vol.218, p.162-173
Hauptverfasser: Pravednikova, Anna E., Nikitich, Antonina, Witkowicz, Agata, Karabon, Lidia, Flouris, Andreas D., Vliora, Maria, Nintou, Eleni, Dinas, Petros C., Szulińska, Monika, Bogdański, Paweł, Metsios, George S., Kerchev, Victor V., Yepiskoposyan, Levon, Bylino, Oleg V., Larina, Svetlana N., Shulgin, Boris, Shidlovskii, Yulii V.
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Sprache:eng
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Zusammenfassung:Cardiometabolic diseases (CMDs) are complex disorders with a heterogenous phenotype, which are caused by multiple factors including genetic factors. Single nucleotide polymorphisms (SNPs) rs45539933 (p.Ala64Thr), rs10011540 (c.-112A>C), rs3811791 (c.-1766A>G), and rs1800592 (c.-3826A>G) in the UCP1 gene have been analyzed for association with CMDs in many studies providing controversial results. However, previous studies only considered individual UCP1 SNPs and did not evaluate them in an integrated manner, which is a more powerful approach to uncover genetic component of complex diseases. This study aimed to investigate associations between UCP1 genotype combinations and CMDs or CMD risk factors in the context of non-genetic factors. We performed multiple logistic regression analysis and proposed new methodology of testing different combinations of SNP genotypes. We found that probability of CMDs increased in presence of the three-SNP combination of genotypes with minor alleles of c.-3826A>G and p.Ala64Thr and wild allele of c.-112A>C, with increasing age, body mass index (BMI), body fat percentage (BF%) and may differ between sexes and between countries. The combination of genotypes with c.-3826A>G minor allele and wild homozygotes of c.-112A>C and p.Ala64Thr was associated with increased probability of diabetes. While combination of genotypes with minor alleles of all three SNPs reduced the CMD probability. The present results suggest that age, BMI, sex, and UCP1 three-SNP combinations of genotypes significantly contribute to CMD probability. Varying of c.-112A>C alleles in the genotype combination with minor alleles of c.-3826A>G and p.Ala64Thr markedly changes CMD probability. •UCP1 rs45539933, rs10011540, and rs1800592 are not individually associated with CMDs, but are associated in combinations.•Minor alleles of three SNPs reduce CMD probability, while wild allele of rs10011540 in the combination increase the latter.•Minor allele of rs1800592 with wild alleles of rs45539933 and rs10011540 increase probability of diabetes.•Non-genetic factors – age, sex, BMI and others contribute to CMD probability together with genetic factors.•A new methodology for testing SNP genotype combinations for association with CMDs is proposed.
ISSN:0300-9084
1638-6183
DOI:10.1016/j.biochi.2023.10.012