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Open Access 01-12-2012 | Research article

Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model

Authors: Huan Li, Lixin Yang, Xueying Zhao, Jiucun Wang, Ji Qian, Hongyan Chen, Weiwei Fan, Hongcheng Liu, Li Jin, Weimin Wang, Daru Lu

Published in: BMC Medical Genetics | Issue 1/2012

Abstract

Background

Lung cancer is a complex polygenic disease. Although recent genome-wide association (GWA) studies have identified multiple susceptibility loci for lung cancer, most of these variants have not been validated in a Chinese population. In this study, we investigated whether a genetic risk score combining multiple.

Methods

Five single-nucleotide polymorphisms (SNPs) identified in previous GWA or large cohort studies were genotyped in 5068 Chinese case–control subjects. The genetic risk score (GRS) based on these SNPs was estimated by two approaches: a simple risk alleles count (cGRS) and a weighted (wGRS) method. The area under the receiver operating characteristic (ROC) curve (AUC) in combination with the bootstrap resampling method was used to assess the predictive performance of the genetic risk score for lung cancer.

Results

Four independent SNPs (rs2736100, rs402710, rs4488809 and rs4083914), were found to be associated with a risk of lung cancer. The wGRS based on these four SNPs was a better predictor than cGRS. Using a liability threshold model, we estimated that these four SNPs accounted for only 4.02% of genetic variance in lung cancer. Smoking history contributed significantly to lung cancer (P < 0.001) risk [AUC = 0.619 (0.603-0.634)], and incorporated with wGRS gave an AUC value of 0.639 (0.621-0.652) after adjustment for over-fitting. This model shows promise for assessing lung cancer risk in a Chinese population.

Conclusion

Our results indicate that although genetic variants related to lung cancer only added moderate discriminatory accuracy, it still improved the predictive ability of the assessment model in Chinese population.

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The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/13/118/prepub

Title: Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model
Authors: Huan Li
Lixin Yang
Xueying Zhao
Jiucun Wang
Ji Qian
Hongyan Chen
Weiwei Fan
Hongcheng Liu
Li Jin
Weimin Wang
Daru Lu
Publication date: 01-12-2012
Publisher: BioMed Central
Published in: BMC Medical Genetics / Issue 1/2012
Electronic ISSN: 1471-2350
DOI: https://doi.org/10.1186/1471-2350-13-118

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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