Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk

Lung cancer remains the leading cause of cancer mortality, despite declining smoking rates. Previous lung cancer GWAS have identified numerous loci, but separating the genetic risks of lung cancer and smoking behavioral susceptibility remains challenging. Here, we perform multi-ancestry GWAS meta-an...

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Veröffentlicht in:Nature communications Jg. 15; H. 1; S. 8629 - 13
Hauptverfasser: Gorman, Bryan R., Ji, Sun-Gou, Francis, Michael, Sendamarai, Anoop K., Shi, Yunling, Devineni, Poornima, Saxena, Uma, Partan, Elizabeth, DeVito, Andrea K., Byun, Jinyoung, Han, Younghun, Xiao, Xiangjun, Sin, Don D., Timens, Wim, Moser, Jennifer, Muralidhar, Sumitra, Ramoni, Rachel, Hung, Rayjean J., McKay, James D., Bossé, Yohan, Sun, Ryan, Amos, Christopher I., Pyarajan, Saiju
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 04.10.2024
Nature Publishing Group
Nature Portfolio
Schlagworte:
45/43
631/208/205/2138
631/208/68
692/699/67/1612
Adenocarcinoma
Adenocarcinoma of Lung - genetics
Aged
Carcinoma, Squamous Cell - genetics
Case-Control Studies
Chromosome 19
Cigarettes
Ethnicity - genetics
Female
Genetic analysis
Genetic Loci
Genetic Predisposition to Disease
Genetic Risk Score
Genome-Wide Association Study
Health risks
Humanities and Social Sciences
Humans
Lung cancer
Lung carcinoma
Lung diseases
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Male
Meta-analysis
Middle Aged
Mortality
multidisciplinary
Neoplasms
Performance prediction
Pleiotropy
Polygenic inheritance
Polymorphism, Single Nucleotide
Predictive control
Risk Factors
Science
Science (multidisciplinary)
Smoking
Smoking - genetics
Squamous cell carcinoma
White
ISSN:2041-1723, 2041-1723
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Zusammenfassung:Lung cancer remains the leading cause of cancer mortality, despite declining smoking rates. Previous lung cancer GWAS have identified numerous loci, but separating the genetic risks of lung cancer and smoking behavioral susceptibility remains challenging. Here, we perform multi-ancestry GWAS meta-analyses of lung cancer using the Million Veteran Program cohort (approximately 95% male cases) and a previous study of European-ancestry individuals, jointly comprising 42,102 cases and 181,270 controls, followed by replication in an independent cohort of 19,404 cases and 17,378 controls. We then carry out conditional meta-analyses on cigarettes per day and identify two novel, replicated loci, including the 19p13.11 pleiotropic cancer locus in squamous cell lung carcinoma. Overall, we report twelve novel risk loci for overall lung cancer, lung adenocarcinoma, and squamous cell lung carcinoma, nine of which are externally replicated. Finally, we perform PheWAS on polygenic risk scores for lung cancer, with and without conditioning on smoking. The unconditioned lung cancer polygenic risk score is associated with smoking status in controls, illustrating a reduced predictive utility in non-smokers. Additionally, our polygenic risk score demonstrates smoking-independent pleiotropy of lung cancer risk across neoplasms and metabolic traits. Lung cancer is the leading cause of cancer mortality, despite declining smoking rates. Gorman et al. report multi-ancestry GWAS meta-analyses of lung cancer providing insights into smoking-independent genetic predisposition to the disease.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-52129-4