Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco-induced lung cancer

  • Fusco, J.P. (Juan Pablo)
  • Pita, G. (Guillermo)
  • Pajares, M.J. (María José)
  • Andueza, M.P. (Maria P.)
  • Patiño-García, A. (Ana)
  • Torres, J.P. (Juan P.) de
  • Gurpide, A. (Alfonso)
  • Zulueta, J. (Javier)
  • Alonso, R. (Rosario)
  • Alvarez, N. (Nuria)
  • Pio, R. (Rubén)
  • Melero, I. (Ignacio)
  • Fernandez-Sanmamed, M. (Miguel)
  • Rodriguez-Ruiz, M. (María)
  • Gil-Bazo, I. (Ignacio)
  • Lopez-Picazo, J.M. (José M.)
  • Casanova, C. (Ciro)
  • Baz-Dávila, R. (Rebeca)
  • Agudo, A. (Antonio)
  • Lozano, M.D. (María Dolores)
  • González, Á. (Álvaro)
  • Bou-i-Sala, N. (Núria)
  • Ardanaz, E. (Eva)
  • Benitez, J. (Javier)
  • Montuenga-Badia, L.M. (Luis M.)
  • Gonzalez-Neira, A. (Anna)
  • Perez-Gracia, J.L. (Jose Luis)
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Publication date
January 2018
Language
English

Abstract

Single nucleotide polymorphisms (SNPs) may modulate individual susceptibility to carcinogens. We designed a genome-wide association study to characterize individuals presenting extreme phenotypes of high and low risk to develop tobacco-induced non-small cell lung cancer (NSCLC), and we validated our results. We hypothesized that this strategy would enrich the frequencies of the alleles that contribute to the observed traits. We genotyped 2.37 million SNPs in 95 extreme phenotype individuals, that is: heavy smokers that either developed NSCLC at an early age (extreme cases); or did not present NSCLC at an advanced age (extreme controls), selected from a discovery set (n=3631). We validated significant SNPs in 133 additional subjects with ext...

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