Lung cancer susceptibility model based on age, family history and genetic variants.

<h4>Background</h4>Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers asso...

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Autores principales:	Robert P Young, Raewyn J Hopkins, Bryan A Hay, Michael J Epton, Graham D Mills, Peter N Black, Heather D Gardner, Richard Sullivan, Gregory D Gamble
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e6e3c0a0e941413d9265577405ac62e1
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spelling	oai:doaj.org-article:e6e3c0a0e941413d9265577405ac62e12021-11-25T06:23:06ZLung cancer susceptibility model based on age, family history and genetic variants.1932-620310.1371/journal.pone.0005302https://doaj.org/article/e6e3c0a0e941413d9265577405ac62e12009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19390575/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer.<h4>Methodology/principal findings</h4>We screened 157 candidate single nucleotide polymorphisms (SNP) in a discovery cohort of 439 subjects (200 controls and 239 lung cancer cases) and identified 30 SNPs associated with either the healthy smokers (protective) or lung cancer (susceptibility) phenotype. After genotyping this 30 SNP panel in a validation cohort of 491 subjects (248 controls and 207 lung cancers) and, using the same protective and susceptibility genotypes from our discovery cohort, a 20 SNP panel was selected based on replication of SNP associations in the validation cohort. Following multivariate logistic regression analyses, including the selected SNPs from runs 1 and 2, we found age and family history of lung cancer to be significantly and independently associated with lung cancer. Numeric scores were assigned to both the SNP and demographic data, and combined to form a simple algorithm of risk.<h4>Conclusions/significance</h4>Significant differences in the distribution of the lung cancer susceptibility score was found between normal controls and lung cancer cases, which remained after accounting for differences in lung function. Validation in other case-control and prospective cohorts are underway to further define the potential clinical utility of this model.Robert P YoungRaewyn J HopkinsBryan A HayMichael J EptonGraham D MillsPeter N BlackHeather D GardnerRichard SullivanGregory D GamblePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 4, p e5302 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Robert P Young Raewyn J Hopkins Bryan A Hay Michael J Epton Graham D Mills Peter N Black Heather D Gardner Richard Sullivan Gregory D Gamble Lung cancer susceptibility model based on age, family history and genetic variants.
description	<h4>Background</h4>Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer.<h4>Methodology/principal findings</h4>We screened 157 candidate single nucleotide polymorphisms (SNP) in a discovery cohort of 439 subjects (200 controls and 239 lung cancer cases) and identified 30 SNPs associated with either the healthy smokers (protective) or lung cancer (susceptibility) phenotype. After genotyping this 30 SNP panel in a validation cohort of 491 subjects (248 controls and 207 lung cancers) and, using the same protective and susceptibility genotypes from our discovery cohort, a 20 SNP panel was selected based on replication of SNP associations in the validation cohort. Following multivariate logistic regression analyses, including the selected SNPs from runs 1 and 2, we found age and family history of lung cancer to be significantly and independently associated with lung cancer. Numeric scores were assigned to both the SNP and demographic data, and combined to form a simple algorithm of risk.<h4>Conclusions/significance</h4>Significant differences in the distribution of the lung cancer susceptibility score was found between normal controls and lung cancer cases, which remained after accounting for differences in lung function. Validation in other case-control and prospective cohorts are underway to further define the potential clinical utility of this model.
format	article
author	Robert P Young Raewyn J Hopkins Bryan A Hay Michael J Epton Graham D Mills Peter N Black Heather D Gardner Richard Sullivan Gregory D Gamble
author_facet	Robert P Young Raewyn J Hopkins Bryan A Hay Michael J Epton Graham D Mills Peter N Black Heather D Gardner Richard Sullivan Gregory D Gamble
author_sort	Robert P Young
title	Lung cancer susceptibility model based on age, family history and genetic variants.
title_short	Lung cancer susceptibility model based on age, family history and genetic variants.
title_full	Lung cancer susceptibility model based on age, family history and genetic variants.
title_fullStr	Lung cancer susceptibility model based on age, family history and genetic variants.
title_full_unstemmed	Lung cancer susceptibility model based on age, family history and genetic variants.
title_sort	lung cancer susceptibility model based on age, family history and genetic variants.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/e6e3c0a0e941413d9265577405ac62e1
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Lung cancer susceptibility model based on age, family history and genetic variants.

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