Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies
| العنوان: | 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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| المؤلفون: | Raimondi, Sara, Gandini, Sara, Fargnoli, Maria Concetta, Bagnardi, Vincenzo, Maisonneuve, Patrick, Specchia, Claudia, Kumar, Rajiv, Nagore, Eduardo, Han, Jiali, Hansson, Johan, Kanetsky, Peter A., Ghiorzo, Paola, Gruis, Nelleke A., Dwyer, Terry, Blizzard, Leigh, Fernandez-De-Misa, Ricardo, Branicki, Wojciech, Debniak, Tadeusz, Morling, Niels, Landi, Maria Teresa, Palmieri, Giuseppe, Ribas, Gloria, Stratigos, Alexander, Cornelius, Lynn, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Wong, Terence H., Autier, Philippe, García-Borrón, José C., Little, Julian, Newton-Bishop, Julia, Sera, Francesco, Liu, Fan, Kayser, Manfred, Nijsten, Tamar |
| المساهمون: | Genetic Identification, Dermatology, International Prevention Research Institute (IPRI), Raimondi, S, Gandini, S, Fargnoli, M, Bagnardi, V, Maisonneuve, P, Specchia, C, Kumar, R, Nagore, E, Han, J, Hansson, J, Kanetsky, P, Ghiorzo, P, Gruis, N, Dwyer, T, Blizzard, L, Fernandez de Misa, R, Branicki, W, Debniak, T, Morling, N, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Wong, T, Autier, P, García Borrón, J, Little, J, Newton Bishop, J, Sera, F, Liu, F, Kayser, M, Nijsten, T, Study Group, G |
| المصدر: | BMC Medical Research Methodology, 12 BMC Medical research methodology (Online) 12 (2012): 1–13. doi:10.1186/1471-2288-12-116 info:cnr-pdr/source/autori:Raimondi, Sara; Raimondi, Sara; Gandini, Sara; Fargnoli, Maria Concetta; Bagnardi, Vincenzo; Bagnardi, Vincenzo; Maisonneuve, Patrick; Specchia, Claudia; Kumar, Rajiv; Nagore, Eduardo; Han, Jiali; Han, Jiali; Han, Jiali; Hansson, Johan; Kanetsky, Peter A.; Ghiorzo, Paola; Gruis, Nelleke A.; Dwyer, Terry; Blizzard, Leigh; Fernandez-De-Misa, Ricardo; Branicki, Wojciech; Debniak, Tadeusz; Morling, Niels; Landi, Maria Teresa; Palmieri, Giuseppe; Ribas, Gloria; Stratigos, Alexander; Cornelius, Lynn; Motokawa, Tomonori; Anno, Sumiko; Helsing, Per; Wong, Terence H.; Autier, Philippe; García-Borrón, José C.; Little, Julian; Newton-Bishop, Julia; Sera, Francesco; Liu, Fan; Kayser, Manfred; Nijsten, Tamar/titolo:Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: Study design and methods for pooling results of genetic epidemiological studies/doi:10.1186%2F1471-2288-12-116/rivista:BMC Medical research methodology (Online)/anno:2012/pagina_da:1/pagina_a:13/intervallo_pagine:1–13/volume:12 BMC Medical Research Methodology, 12. BioMed Central Ltd. BMC Medical Research Methodology BMC Medical Research Methodology, BioMed Central, 2012, 12, pp.116. ⟨10.1186/1471-2288-12-116⟩ BMC Medical Research Methodology, Vol 12, Iss 1, p 116 (2012) |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Male, Skin Neoplasms, Standardization, Epidemiology, Pooling, Disease, Bioinformatics, Logistic regression, Study Protocol, 0302 clinical medicine, Statistical Analysis Plan, Adult Case-Control Studies Data Collection/standards Data Interpretation, Skin cancer, Genetic epidemiology, Statistical *Epidemiologic Research Design Female *Genetic Predisposition to Disease Hospitalization Humans Logistic Models Male Meta-Analysis as Topic Phenotype *Receptor, Melanoma, lcsh:R5-920, 0303 health sciences, Data Collection, Smoking, Pooled-analysis, 3. Good health, Hospitalization, Phenotype, 030220 oncology & carcinogenesis, Meta-analysis, Data Interpretation, Statistical, Genetic epidemiology, Melanoma, Meta-analysis, Pooled-analysis, Skin cancer, Study design, Melanocortin, Sunlight, Female, lcsh:Medicine (General), Receptor, Melanocortin, Type 1, Adult, Health Informatics, Computational biology, 03 medical and health sciences, Meta-Analysis as Topic, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, MED/01 - STATISTICA MEDICA, 030304 developmental biology, business.industry, Study design, medicine.disease, Logistic Models, Case-Control Studies, Epidemiologic Research Design, Type 1 Skin Neoplasms/*genetics/physiopathology/secondary Smoking Sunlight/*adverse effects, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business |
| الوصف: | Raimondi, Sara Gandini, Sara Fargnoli, Maria Concetta Bagnardi, Vincenzo Maisonneuve, Patrick Specchia, Claudia Kumar, Rajiv Nagore, Eduardo Han, Jiali Hansson, Johan Kanetsky, Peter A Ghiorzo, Paola Gruis, Nelleke A Dwyer, Terry Blizzard, Leigh Fernandez-de-Misa, Ricardo Branicki, Wojciech Debniak, Tadeusz Morling, Niels Landi, Maria Teresa Palmieri, Giuseppe Ribas, Gloria Stratigos, Alexander Cornelius, Lynn Motokawa, Tomonori Anno, Sumiko Helsing, Per Wong, Terence H Autier, Philippe Garcia-Borron, Jose C Little, Julian Newton-Bishop, Julia Sera, Francesco Liu, Fan Kayser, Manfred Nijsten, Tamar eng CA112243-05 S1/CA/NCI NIH HHS/ R01 CA112243/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't England 2012/08/07 06:00 BMC Med Res Methodol. 2012 Aug 3;12:116. doi: 10.1186/1471-2288-12-116.; International audience; BACKGROUND: 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. DESIGN AND METHODS: Based on our experience with the study design of the Melanocortin-1 receptor (MC1R) gene, SKin cancer and Phenotypic characteristics (M-SKIP) project, we describe the most important steps in planning and conducting a pooled-analysis of genetic epidemiological studies. We then present the statistical analysis plan that we are going to apply, giving particular attention to methods of analysis recently proposed to account for between-study heterogeneity and to explore the joint contribution of genetic, phenotypic and environmental factors in the development of a disease. Within the M-SKIP project, data on 10,959 skin cancer cases and 14,785 controls from 31 international investigators were checked for quality and recoded for standardization. We first proposed to fit the aggregated data with random-effects logistic regression models. However, for the M-SKIP project, a two-stage analysis will be preferred to overcome the problem regarding the availability of different study covariates. The joint contribution of MC1R variants and phenotypic characteristics to skin cancer development will be studied via logic regression modeling. DISCUSSION: Methodological guidelines to correctly design and conduct pooled-analyses are needed to facilitate application of such methods, thus providing a better summary of the actual findings on specific fields. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1471-2288 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::065f519f0b33d73c755a7653d17b59c6Test https://hdl.handle.net/1887/106313Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....065f519f0b33d73c755a7653d17b59c6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14712288 |
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