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dc.contributor.authorCorrea Rodríguez, María es_ES
dc.contributor.authorViatte, Sebastienes_ES
dc.contributor.authorMassey, Jonathanes_ES
dc.contributor.authorSchmidt Río Valle, Jacqueline es_ES
dc.contributor.authorRueda Medina, Blanca María es_ES
dc.contributor.authorOrozco Cebada, Giselaes_ES
dc.date.accessioned2018-02-22T10:35:49Z
dc.date.available2018-02-22T10:35:49Z
dc.date.issued2017
dc.identifier.citationCorrea-Rodríguez, M.: et al. Analysis of SNP-SNP interactions and bone quantitative ultrasound parameter in early adulthood. BMC Medical Genetics, 18: 107 (2017). [http://hdl.handle.net/10481/49672]es_ES
dc.identifier.issn1471-2350
dc.identifier.urihttp://hdl.handle.net/10481/49672
dc.description.abstractBackground: Osteoporosis individual susceptibility is determined by the interaction of multiple genetic variants and environmental factors. The aim of this study was to conduct SNP-SNP interaction analyses in candidate genes influencing heel quantitative ultrasound (QUS) parameter in early adulthood to identify novel insights into the mechanism of disease. Methods: The study population included 575 healthy subjects (mean age 20.41; SD 2.36). To assess bone mass QUS was performed to determine Broadband ultrasound attenuation (BUA, dB/MHz). A total of 32 SNPs mapping to loci that have been characterized as genetic markers for QUS and/or BMD parameters were selected as genetic markers in this study. The association of all possible SNP pairs with QUS was assessed by linear regression and a SNP-SNP interaction was defined as a significant departure from additive effects. Results: The pairwise SNP-SNP analysis showed multiple interactions. The interaction comprising SNPs rs9340799 and rs3736228 that map in the ESR1 and LRP5 genes respectively, revealed the lowest p value after adjusting for confounding factors (p-value = 0.001, β (95% CI) = 14.289 (5.548, 23.029). In addition, our model reported others such as TMEM135-WNT16 (p = 0.007, β(95%CI) = 9.101 (2.498, 15.704), ESR1-DKK1 (p = 0.012, β(95%CI) = 13.641 (2. 959, 24.322) or OPG-LRP5 (p = 0.012, β(95%CI) = 8.724 (1.936, 15.512). However, none of the detected interactions remain significant considering the Bonferroni significance threshold for multiple testing (p<0.0001). Conclusion: Our analysis of SNP-SNP interaction in candidate genes of QUS in Caucasian young adults reveal several interactions, especially between ESR1 and LRP5 genes, that did not reach statistical significance. Although our results do not support a relevant genetic contribution of SNP-SNP epistatic interactions to QUS in young adults, further studies in larger independent populations would be necessary to support these preliminary findings.en_EN
dc.description.sponsorshipThis study was supported by a grant PI-0414-2014 from Consejería de Salud (Junta de Andalucía, Spain). Correa-Rodríguez M is a predoctoral fellow (FPU13/ 00143) from the Ministerio de Educación, Cultura y Deporte (Programa de Formación del Profesorado Universitario).en
dc.language.isoenges_ES
dc.publisherBiomed Centrales_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectGene interactionen_EN
dc.subjectQuantitative ultrasounden_EN
dc.subjectCandidate geneen_EN
dc.titleAnalysis of SNP-SNP interactions and bone quantitative ultrasound parameter in early adulthooden_EN
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1186/s12881-017-0468-6


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