Background: Part of the inherited risk to lung cancer is likely to include common, low risk alleles. The identification of this class of susceptibility is contingent on association-based analyses. We established GEnetic Lung CAncer Predisposition Study (GELCAPS) to collect DNA and clinicopathological data from a large series of cases and a series of spouse/partner controls, thereby generating a key resource for the identification of low risk alleles. Methods: GELCAPS was one of the first genetic epidemiological trials in the UK to be adopted by the National Cancer Research Network (NCRN) onto its portfolio with the participation of over 100 oncology departments specialising in the management of lung cancer. Results: Samples from over 5,000 independent lung cancer cases and 2,000 controls have so far been assembled through GELCAPS. Conclusion: GELCAPS represents one of the largest datasets of its type in the world capable of informing on the contribution of low penetrance alleles to the development of lung cancer and the influence of genetic variation on outcome. In addition our experience in developing the GELCAPS serves to illustrate how large DNA biobanks for genetic analyses can be rapidly generated within the UK using the NCRN.
机构:
Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, SwedenUniv Helsinki, Dept Publ Hlth, POB 41, FI-00014 Helsinki, Finland
Czene, Kamila
Adami, Hans-Olov
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Harvard Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, SwedenUniv Helsinki, Dept Publ Hlth, POB 41, FI-00014 Helsinki, Finland
Adami, Hans-Olov
Scheike, Thomas
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Univ Helsinki, Dept Publ Hlth, POB 41, FI-00014 Helsinki, FinlandUniv Helsinki, Dept Publ Hlth, POB 41, FI-00014 Helsinki, Finland
Scheike, Thomas
Kaprio, Jaakko
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机构:
Norwegian Inst Publ Hlth, Div Epidemiol, Oslo, Norway
Univ Helsinki, Inst Mol Med, Helsinki, FinlandUniv Helsinki, Dept Publ Hlth, POB 41, FI-00014 Helsinki, Finland