| Title |
Increased risk of lung cancer in individuals with a family history of the disease: A pooled analysis from the International Lung Cancer Consortium
|
|---|---|
| Published in |
European Journal of Cancer (1965), March 2012
|
| DOI | 10.1016/j.ejca.2012.01.038 |
| Pubmed ID | |
| Authors |
Michele L. Coté, Mei Liu, Stefano Bonassi, Monica Neri, Ann G. Schwartz, David C. Christiani, Margaret R. Spitz, Joshua E. Muscat, Gad Rennert, Katja K. Aben, Angeline S. Andrew, Vladimir Bencko, Heike Bickeböller, Paolo Boffetta, Paul Brennan, Hermann Brenner, Eric J. Duell, Eleonora Fabianova, John K. Field, Lenka Foretova, Søren Friis, Curtis C. Harris, Ivana Holcatova, Yun-Chul Hong, Dolores Isla, Vladimir Janout, Lambertus A. Kiemeney, Chikako Kiyohara, Qing Lan, Philip Lazarus, Jolanta Lissowska, Loic Le Marchand, Dana Mates, Keitaro Matsuo, Jose I. Mayordomo, John R. McLaughlin, Hal Morgenstern, Heiko Müeller, Irene Orlow, Bernard J. Park, Mila Pinchev, Olaide Y. Raji, Hedy S. Rennert, Peter Rudnai, Adeline Seow, Isabelle Stucker, Neonila Szeszenia-Dabrowska, M. Dawn Teare, Anne Tjønnelan, Donatella Ugolini, Henricus F.M. van der Heijden, Erich Wichmann, John K. Wiencke, Penella J. Woll, Ping Yang, David Zaridze, Zuo-Feng Zhang, Carol J. Etzel, Rayjean J. Hung |
| Abstract |
Familial aggregation of lung cancer exists after accounting for cigarette smoking. However, the extent to which family history affects risk by smoking status, histology, relative type and ethnicity is not well described. This pooled analysis included 24 case-control studies in the International Lung Cancer Consortium. Each study collected age of onset/interview, gender, race/ethnicity, cigarette smoking, histology and first-degree family history of lung cancer. Data from 24,380 lung cancer cases and 23,305 healthy controls were analysed. Unconditional logistic regression models and generalised estimating equations were used to estimate odds ratios and 95% confidence intervals. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Unknown | 276 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 13% |
| Researcher | 30 | 11% |
| Student > Bachelor | 22 | 8% |
| Student > Master | 21 | 8% |
| Other | 16 | 6% |
| Other | 58 | 21% |
| Unknown | 97 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 77 | 28% |
| Biochemistry, Genetics and Molecular Biology | 25 | 9% |
| Agricultural and Biological Sciences | 15 | 5% |
| Nursing and Health Professions | 10 | 4% |
| Environmental Science | 6 | 2% |
| Other | 32 | 11% |
| Unknown | 115 | 41% |