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Dai J, Huang M, Amos CI, et al. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2019;146(10):2855-2864doi: 10.1002/ijc.32698.
Dai, J., Huang, M., Amos, C. I., Hung, R. J., Tardon, A., Andrew, A., Chen, C., Christiani, D. C., Albanes, D., Rennert, G., Fan, J., Goodman, G., Liu, G., Field, J. K., Grankvist, K., Kiemeney, L. A., Le Marchand, L., Schabath, M. B., Johansson, M., Aldrich, M. C., Johansson, M., Caporaso, N., Lazarus, P., Lam, S., Bojesen, S. E., Arnold, S., Landi, M. T., Risch, A., Wichmann, H. E., Bickeboller, H., Brennan, P., Shete, S., Melander, O., Brunnstrom, H., Zienolddiny, S., Woll, P., Stevens, V., Hu, Z., & Shen, H. (2020). Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. International journal of cancer, 146(10), 2855-2864. https://doi.org/10.1002/ijc.32698
Dai, Juncheng, et al. "Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk." International journal of cancer vol. 146,10 (2020): 2855-2864. doi: https://doi.org/10.1002/ijc.32698
Dai J, Huang M, Amos CI, Hung RJ, Tardon A, Andrew A, Chen C, Christiani DC, Albanes D, Rennert G, Fan J, Goodman G, Liu G, Field JK, Grankvist K, Kiemeney LA, Le Marchand L, Schabath MB, Johansson M, Aldrich MC, Johansson M, Caporaso N, Lazarus P, Lam S, Bojesen SE, Arnold S, Landi MT, Risch A, Wichmann HE, Bickeboller H, Brennan P, Shete S, Melander O, Brunnstrom H, Zienolddiny S, Woll P, Stevens V, Hu Z, Shen H. Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk. Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31. PMID: 31577861; PMCID: PMC7101262.
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Int J Cancer. 2020 May 15;146(10):2855-2864. doi: 10.1002/ijc.32698. Epub 2019 Oct 31.

Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.

International journal of cancer

Juncheng Dai, Mingtao Huang, Christopher I Amos, Rayjean J Hung, Adonina Tardon, Angeline Andrew, Chu Chen, David C Christiani, Demetrius Albanes, Gadi Rennert, Jingyi Fan, Gary Goodman, Geoffrey Liu, John K Field, Kjell Grankvist, Lambertus A Kiemeney, Loic Le Marchand, Matthew B Schabath, Mattias Johansson, Melinda C Aldrich, Mikael Johansson, Neil Caporaso, Philip Lazarus, Stephan Lam, Stig E Bojesen, Susanne Arnold, Maria Teresa Landi, Angela Risch, H-Erich Wichmann, Heike Bickeboller, Paul Brennan, Sanjay Shete, Olle Melander, Hans Brunnstrom, Shan Zienolddiny, Penella Woll, Victoria Stevens, Zhibin Hu, Hongbing Shen

Affiliations

  1. Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  2. Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China.
  3. Department of Medicine, Epidemiology Section, Institute for Clinical and Translational Research, Baylor Medical College, Houston, TX.
  4. Epidemiology Division, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada.
  5. Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, Spain.
  6. Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
  7. Department of Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, WA.
  8. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
  9. Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
  10. Technion Faculty of Medicine, Carmel Medical Center, Israel Institute of Technology, Haifa, Israel.
  11. Public Health Sciences Division, Swedish Cancer Institute, Seattle, WA.
  12. Epidemiology Division, Princess Margaret Cancer Center, Toronto, ON, Canada.
  13. Roy Castle Lung Cancer Research Programme, Department of Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
  14. Unit of Clinical Chemistry, Department of Medical Biosciences, Umeå University, Umeå, Sweden.
  15. Department of Health Evidence, Radboud University Medical Center, Nijmegen, Germany.
  16. Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI.
  17. Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
  18. Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France.
  19. Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN.
  20. Department of Radiation Sciences, Umeå University, Umeå, Sweden.
  21. Washington State University College of Pharmacy, Spokane, WA.
  22. Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada.
  23. Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, Denmark.
  24. Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  25. Markey Cancer Center, University of Kentucky, Lexington, KY.
  26. Cancer Center Cluster Salzburg at PLUS, Department of Molecular Biology, University of Salzburg, Heidelberg, Austria.
  27. Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians University, Munich, Bavaria, Germany.
  28. Department of Genetic Epidemiology, University Medical Center Goettingen, Goettingen, Germany.
  29. Department of Epidemiology, University of Texas, MD Anderson Cancer Center, Houston, TX.
  30. Department of Clinical Sciences, Lund University, Lund, Sweden.
  31. National Institute of Occupational Health (STAMI), Oslo, Norway.
  32. Academic Unit of Clinical Oncology, University of Sheffield, Sheffield, UK.
  33. Epidemiology Research Program, American Cancer Society, Atlanta, GA.

PMID: 31577861 PMCID: PMC7101262 DOI: 10.1002/ijc.32698

Abstract

Genome-wide association studies (GWAS) have identified 45 susceptibility loci associated with lung cancer. Only less than SNPs, small insertions and deletions (INDELs) are the second most abundant genetic polymorphisms in the human genome. INDELs are highly associated with multiple human diseases, including lung cancer. However, limited studies with large-scale samples have been available to systematically evaluate the effects of INDELs on lung cancer risk. Here, we performed a large-scale meta-analysis to evaluate INDELs and their risk for lung cancer in 23,202 cases and 19,048 controls. Functional annotations were performed to further explore the potential function of lung cancer risk INDELs. Conditional analysis was used to clarify the relationship between INDELs and SNPs. Four new risk loci were identified in genome-wide INDEL analysis (1p13.2: rs5777156, Insertion, OR = 0.92, p = 9.10 × 10

© 2019 UICC.

Keywords: INDELs; genome-wide association studies; lung cancer

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