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Open AccessJournal ArticleDOI

Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia.

Qing Lan, +133 more
- 01 Dec 2012 - 
- Vol. 44, Iss: 12, pp 1330-1335
TLDR
It is observed that there is no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.
Abstract
To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland China, South Korea, Japan, Singapore, Taiwan and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10(-6)) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10(-18)), 6q22.2 (rs9387478, P = 4.14 × 10(-10)) and 6p21.32 (rs2395185, P = 9.51 × 10(-9)). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.

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Citations
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Journal ArticleDOI

Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

TL;DR: A new method is named as Fixed and random model Circulating Probability Unification (FarmCPU) that improves statistical power compared to current methods and avoids model over-fitting problem in FEM.
Journal ArticleDOI

Global Epidemiology of Lung Cancer

TL;DR: The evidence on lung cancer epidemiology, including data of international scope with comparisons of economically, socially, and biologically different patient groups is reviewed, including a discussion on the epidemiologic characteristics of special groups including women and nonsmokers.
Journal ArticleDOI

Risk factors for lung cancer worldwide

TL;DR: Future preventive efforts and research need to focus on non-cigarette tobacco smoking products, as well as better understanding of risk factors underlying lung carcinogenesis in never-smokers.
Journal ArticleDOI

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

James D. McKay, +146 more
- 12 Jun 2017 - 
TL;DR: 18 susceptibility loci achieving genome-wide significance are identified, including 10 new loci linked with lung cancer overall and six loci associated with lung adenocarcinoma, highlighting the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer.
Journal ArticleDOI

Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank

TL;DR: By sampling from the extremes of the lung function distribution in UK Biobank, novel genetic causes of lung function and smoking behaviour are identified and substantial shared genetic architecture underlying airflow obstruction is shown across individuals, irrespective of smoking behaviour and other airway disease.
References
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Journal ArticleDOI

Principal components analysis corrects for stratification in genome-wide association studies

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Journal ArticleDOI

Cell signaling by receptor-tyrosine kinases

TL;DR: Understanding of the complex signaling networks downstream from RTKs and how alterations in these networks are translated into cellular responses provides an important context for therapeutically countering the effects of pathogenic RTK mutations in cancer and other diseases.
Journal ArticleDOI

Population structure and eigenanalysis

TL;DR: An approach to studying population structure (principal components analysis) is discussed that was first applied to genetic data by Cavalli-Sforza and colleagues, and results from modern statistics are used to develop formal significance tests for population differentiation.
Journal ArticleDOI

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

TL;DR: It is found that imputation accuracy can be greatly enhanced by expanding the reference panel to contain thousands of chromosomes and that IMPUTE v2 outperforms other methods in this setting at both rare and common SNPs, with overall error rates that are 15%–20% lower than those of the closest competing method.
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