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Genetic Contributions to the Association between Adult Height and Head and Neck Cancer: A Mendelian Randomization Analysis

  • Roberta Pastorino
  • , Anna Puggina*
  • , Robert Carreras-Torres
  • , Pagona Lagiou
  • , Ivana Holcátová
  • , Lorenzo Richiardi
  • , Kristina Kjaerheim
  • , Antonio Agudo
  • , Xavier Castellsagué
  • , Tatiana V. Macfarlane
  • , Luigi Barzan
  • , Cristina Canova
  • , Nalin S. Thakker
  • , David I. Conway
  • , Ariana Znaor
  • , Claire M. Healy
  • , Wolfgang Ahrens
  • , David Zaridze
  • , Neonilia Szeszenia-Dabrowska
  • , Jolanta Lissowska
  • Eleonora Fabianova, Ioan Nicolae Mates, Vladimir Bencko, Lenka Foretova, Vladimir Janout, Paul Brennan, Valérie Gaborieau, James D. McKay, Stefania Boccia
*Autore corrispondente per questo lavoro
  • International Agency for Research on Cancer
  • National and Kapodistrian University of Athens
  • Charles University
  • University of Turin
  • Cancer Registry of Norway Institute of Population-Based Cancer Research
  • Bellvitge Biomedical Research Institute
  • Centro de Investigación Biomédica en Red
  • University of Aberdeen
  • General Hospital of Pordenone
  • Imperial College London
  • University of Padua
  • School of Dentistry
  • University of Glasgow
  • Croatian National Institute of Public Health
  • Trinity College Dublin
  • Leibniz Institute for Prevention Research and Epidemiology
  • University of Bremen
  • Russian Academy of Medical Sciences - N.N. Blokhin Russian Cancer Research Center
  • Nofer Institute of Occupational Medicine
  • Maria Sklodowska-Curie Institute of Oncology
  • Regional Authority of Public Health
  • Carol Davila University of Medicine and Pharmacy
  • Masaryk University
  • Palacký University Olomouc

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

With 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.
Lingua originaleInglese
pagine (da-a)N/A-N/A
RivistaScientific Reports
Volume8
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - 2018

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  1. SDG 3 - Salute e benessere
    SDG 3 Salute e benessere

All Science Journal Classification (ASJC) codes

  • Multidisciplinare

Keywords

  • EPIDEMIOLOGY CONSORTIUM
  • POOLED ANALYSIS
  • PROSPECTIVE COHORT
  • RISK-FACTORS

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