Title |
Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies
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Published in |
BMC Medical Research Methodology, August 2012
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DOI | 10.1186/1471-2288-12-116 |
Pubmed ID | |
Authors |
Sara Raimondi, Sara Gandini, Maria Concetta Fargnoli, Vincenzo Bagnardi, Patrick Maisonneuve, Claudia Specchia, Rajiv Kumar, Eduardo Nagore, Jiali Han, Johan Hansson, Peter A Kanetsky, Paola Ghiorzo, Nelleke A Gruis, Terry Dwyer, Leigh Blizzard, Ricardo Fernandez-de-Misa, Wojciech Branicki, Tadeusz Debniak, Niels Morling, Maria Teresa Landi, Giuseppe Palmieri, Gloria Ribas, Alexander Stratigos, Lynn Cornelius, Tomonori Motokawa, Sumiko Anno, Per Helsing, Terence H Wong, Philippe Autier, José C García-Borrón, Julian Little, Julia Newton-Bishop, Francesco Sera, Fan Liu, Manfred Kayser, Tamar Nijsten, GEM Study Group, on behalf of the M-SKIP Study Group |
Abstract |
For complex diseases like cancer, pooled-analysis of individual data represents a powerful tool to investigate the joint contribution of genetic, phenotypic and environmental factors to the development of a disease. Pooled-analysis of epidemiological studies has many advantages over meta-analysis, and preliminary results may be obtained faster and with lower costs than with prospective consortia. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Uruguay | 1 | 2% |
France | 1 | 2% |
Unknown | 48 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 14 | 28% |
Student > Ph. D. Student | 5 | 10% |
Student > Master | 5 | 10% |
Professor > Associate Professor | 3 | 6% |
Professor | 2 | 4% |
Other | 5 | 10% |
Unknown | 16 | 32% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 22% |
Biochemistry, Genetics and Molecular Biology | 8 | 16% |
Agricultural and Biological Sciences | 5 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Mathematics | 1 | 2% |
Other | 5 | 10% |
Unknown | 18 | 36% |