Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies

• Autor: 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
• Assuntos: Adult ; Analysis ; Cancer ; Case-Control Studies ; Data Collection - standards ; Data Interpretation, Statistical ; Development and progression ; Epidemiologic methods ; Epidemiologic Research Design ; Epidemiology ; Experimental design ; Female ; Genes ; Genetic aspects ; Genetic epidemiology ; Genetic Predisposition to Disease ; Genetic research ; Hospitalization ; Hospitals ; Humans ; Life Sciences ; Logistic Models ; Male ; Medical research ; Medicin och hälsovetenskap ; Melanoma ; Meta-analysis ; Meta-Analysis as Topic ; Methods ; Oncology, Experimental ; Phenotype ; Pooled-analysis ; Receptor, Melanocortin, Type 1 ; Santé publique et épidémiologie ; Skin cancer ; Skin Neoplasms - genetics ; Skin Neoplasms - physiopathology ; Skin Neoplasms - secondary ; Smoking ; Studies ; Study design ; Study Protocol ; Sunlight - adverse effects ; Womens health
• É parte de: BMC medical research methodology, 2012-08, Vol.12 (1), p.116-116, Article 116
• Notas: ObjectType-Article-1
  SourceType-Scholarly Journals-1
  ObjectType-Feature-2
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  PMCID: PMC3502117
  
• Descrição: 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. 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. 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.
  
• Editor: England: BioMed Central Ltd
  
• Idioma: Inglês