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dc.contributor.authorPastorino, Roberta
dc.contributor.authorPuggina, Anna
dc.contributor.authorCarreras-Torres, Robert
dc.contributor.authorLagiou, Pagona
dc.contributor.authorHolcátová, Ivana
dc.contributor.authorRichiardi, Lorenzo
dc.contributor.authorKjaerheim, Kristina
dc.contributor.authorAgudo, Antonio
dc.contributor.authorCastellsagué, Xavier
dc.contributor.authorMacfarlane, Tatiana V.
dc.contributor.authorBarzan, Luigi
dc.contributor.authorCanova, Cristina
dc.contributor.authorThakker, Nalin S.
dc.contributor.authorConway, David I.
dc.contributor.authorZnaor, Ariana
dc.contributor.authorHealy, Claire M.
dc.contributor.authorAhrens, Wolfgang
dc.contributor.authorZaridze, David
dc.contributor.authorSzeszenia-Dabrowska, Neonilia
dc.contributor.authorLissowska, Jolanta
dc.contributor.authorFabianova, Eleonora
dc.contributor.authorMates, Ioan Nicolae
dc.contributor.authorBencko, Vladimir
dc.contributor.authorForetova, Lenka
dc.contributor.authorJanout, Vladimir
dc.contributor.authorBrennan, Paul
dc.contributor.authorGaborieau, Valérie
dc.contributor.authorMcKay, James D.
dc.contributor.authorBoccia, Stefania
dc.date.accessioned2018-12-04T09:17:35Z
dc.date.available2018-12-04T09:17:35Z
dc.date.issued2018-03-14
dc.identifier.citationScientific Reports2018, 8 (1): art.4534en
dc.identifier.issn2045-2322
dc.identifier.doi10.1038/s41598-018-22626-w
dc.identifier.urihttp://hdl.handle.net/10146/618228
dc.description.abstractWith the aim to dissect the effect of adult height on head and neck cancer (HNC), we use the Mendelian randomization (MR) approach to test the association between genetic instruments for height and the risk of HNC. 599 single nucleotide polymorphisms (SNPs) were identified as genetic instruments for height, accounting for 16% of the phenotypic variation. Genetic data concerning HNC cases and controls were obtained from a genome-wide association study. Summary statistics for genetic association were used in complementary MR approaches: the weighted genetic risk score (GRS) and the inverse-variance weighted (IVW). MR-Egger regression was used for sensitivity analysis and pleiotropy evaluation. From the GRS analysis, one standard deviation (SD) higher height (6.9 cm; due to genetic predisposition across 599 SNPs) raised the risk for HNC (Odds ratio (OR), 1.14; 95% Confidence Interval (95%CI), 0.99–1.32). The association analyses with potential confounders revealed that the GRS was associated with tobacco smoking (OR = 0.80, 95% CI (0.69–0.93)). MR-Egger regression did not provide evidence of overall directional pleiotropy. Our study indicates that height is potentially associated with HNC risk. However, the reported risk could be underestimated since, at the genetic level, height emerged to be inversely associated with smoking.
dc.language.isoenen
dc.relation.urlhttp://www.nature.com/articles/s41598-018-22626-wen
dc.rightsArchived with thanks to Scientific Reportsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcancer epidemiologyen
dc.subjectrisk factorsen
dc.titleGenetic Contributions to The Association Between Adult Height and Head and Neck Cancer: A Mendelian Randomization Analysisen
dc.typeArticleen
dc.contributor.departmentNofer Institute of Occupational Medicineen
dc.identifier.journalScientific Reportsen
refterms.dateFOA2018-12-17T18:11:26Z
html.description.abstractWith the aim to dissect the effect of adult height on head and neck cancer (HNC), we use the Mendelian randomization (MR) approach to test the association between genetic instruments for height and the risk of HNC. 599 single nucleotide polymorphisms (SNPs) were identified as genetic instruments for height, accounting for 16% of the phenotypic variation. Genetic data concerning HNC cases and controls were obtained from a genome-wide association study. Summary statistics for genetic association were used in complementary MR approaches: the weighted genetic risk score (GRS) and the inverse-variance weighted (IVW). MR-Egger regression was used for sensitivity analysis and pleiotropy evaluation. From the GRS analysis, one standard deviation (SD) higher height (6.9 cm; due to genetic predisposition across 599 SNPs) raised the risk for HNC (Odds ratio (OR), 1.14; 95% Confidence Interval (95%CI), 0.99–1.32). The association analyses with potential confounders revealed that the GRS was associated with tobacco smoking (OR = 0.80, 95% CI (0.69–0.93)). MR-Egger regression did not provide evidence of overall directional pleiotropy. Our study indicates that height is potentially associated with HNC risk. However, the reported risk could be underestimated since, at the genetic level, height emerged to be inversely associated with smoking.


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