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New insights into genotype-phenotype correlation in individuals with different level of general non-specific reactivity of an organism

Mulik, Alexander ; Novochadov, Valery ; Bondarev, Alexander ; Lipnitskaya, Sofya ; Ulesikova, Irina ; Shatyr, Yulia

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)



Abstract:
The objective of the study was to investigate the genetic basis of general non-specific reactivity of an organism. Systematic search in PubMedCentral, PDB, KEGG and SNP databases identified a set of genes and their polymorphisms that can determine pain sensitivity and therefore the level of general non-specific reactivity of the human organism. Six SNPs were selected for genotyping kit design; 230 healthy volunteers were enrolled in the study. It was revealed that very high pain threshold was associated with allele A in rs1851048 and allele C in rs6777055. High level of general non-specific reactivity of an organism was associated with allele G in rs2562456 (OR=1.804, CI=1.139-2.857, p=0.011) and allele C in rs6923492 (OR=1.582, CI=1.071-2.335, p=0.021). Low level of general non-specific reactivity of an organism was associated with allele T in rs6923492 (OR=0.351, CI=0.154-0.799, p=0.010). A set of genes and single-nucleotide polymorphisms associated with the pain sensitivity and indirectly with the level of general non-specific reactivity of human organism were determined. The identified correlations reveal some molecular mechanisms of general non-specific reactivity of an organism variability and can guide further research in this area.


Beteiligte Einrichtung: Technische Fakultät, Arbeitsgruppen der Informatik
DDC-Sachgruppe: Datenverarbeitung, Informatik

Zitat-Vorschlag:
Mulik, Alexander ; Novochadov, Valery ; Bondarev, Alexander ; Lipnitskaya, Sofya ; Ulesikova, Irina ; Shatyr, Yulia  (2016)  New insights into genotype-phenotype correlation in individuals with different level of general non-specific reactivity of an organism. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 13(4): Special Issue: 12th International Symposium on Integrative Bioinformatics, Bielefeld, Germany, 2016

Online-Journal: http://journal.imbio.de/article.php?aid=295
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2017/5433



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 Letzte Änderung: 23.06.2015
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