Association of genetic polymorphisms with age at menarche in Russian women

Examine the association of genetic polymorphisms with age at menarche (AAM) in Russian women. A total of 1613 Russian females were recruited for the study. Fifty two polymorphisms were analyzed for their association with AAM, height, and BMI. The associations were analyzed assuming the additive, dom...

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Veröffentlicht in:Gene 2019-02, Vol.686, p.228-236
Hauptverfasser: Ponomarenko, Irina, Reshetnikov, Evgeny, Altuchova, Oksana, Polonikov, Alexey, Sorokina, Inna, Yermachenko, Anna, Dvornyk, Volodymyr, Golovchenko, Oleg, Churnosov, Mikhail
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Sprache:eng
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Zusammenfassung:Examine the association of genetic polymorphisms with age at menarche (AAM) in Russian women. A total of 1613 Russian females were recruited for the study. Fifty two polymorphisms were analyzed for their association with AAM, height, and BMI. The associations were analyzed assuming the additive, dominant, and recessive models and using the log-linear regression as implemented in PLINK v. 2.050. The 2-, 3-, and 4-loci models of gene-gene interactions were analyzed using the MB-MDR method and validated by the permutation test. Genetic polymorphism rs6438424 3q13.32 was independently associated with AAM in Russian women. In addition, 14 SNPs were determined as possible contributors to this trait through gene-gene interactions. The obtained results suggest that 14 out of 52 studied polymorphisms may contribute to AAM in Russian women. The rs6438424 3q13.32 polymorphism was associated with AAM according to both additive and dominant models (рperm = 0.005). In total 12 two-, three-, and four-locus models of gene-gene interactions were determined as contributing to AAM (pperm ≤ 0.006). Nine of the 14 AAM-associated SNPs are also associated with height and BMI (pperm ≤ 0.003). Among 14 AAM-associated SNPs (a priori all having regulatory significance), the highest regulatory potential was determined for rs4633 COMT, rs2164808 POMC, rs2252673INSR, rs6438424 3q13.32, and rs10769908 STK33. Eleven loci are cis-eQTL and affect expression of 14 genes in various tissues and organs (FDR 
ISSN:0378-1119
1879-0038
DOI:10.1016/j.gene.2018.11.042