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1. MC1R variants in childhood and adolescent melanoma: a retrospective pooled analysis of a multicentre cohort

Author

Pellegrini, Cristina, Botta, Francesca, Massi, Daniela, Martorelli, Claudia, Facchetti, Fabio, Gandini, Sara, Maisonneuve, Patrick, Avril, Marie-Françoise, Demenais, Florence, Bressac-de Paillerets, Brigitte, Hoiom, Veronica, Cust, Anne E, Anton-Culver, Hoda, Gruber, Stephen B, Gallagher, Richard P, Marrett, Loraine, Zanetti, Roberto, Dwyer, Terence, Thomas, Nancy E, Begg, Colin B, Berwick, Marianne, Puig, Susana, Potrony, Miriam, Nagore, Eduardo, Ghiorzo, Paola, Menin, Chiara, Manganoni, Ausilia Maria, Rodolfo, Monica, Brugnara, Sonia, Passoni, Emanuela, Sekulovic, Lidija Kandolf, Baldini, Federica, Guida, Gabriella, Stratigos, Alexandros, Ozdemir, Fezal, Ayala, Fabrizio, Fernandez-de-Misa, Ricardo, Quaglino, Pietro, Ribas, Gloria, Romanini, Antonella, Migliano, Emilia, Stanganelli, Ignazio, Kanetsky, Peter A, Pizzichetta, Maria Antonietta, García-Borrón, Jose Carlos, Nan, Hongmei, Landi, Maria Teresa, Little, Julian, Newton-Bishop, Julia, Sera, Francesco, Fargnoli, Maria Concetta, Raimondi, Sara, Alaibac, Mauro, Ferrari, Andrea, Valeri, Barbara, Sicher, Mariacristina, Mangiola, Daniela, Nazzaro, Gianluca, Tosti, Giulio, Mazzarol, Giovanni, Giudice, Giuseppe, Ribero, Simone, Astrua, Chiara, Mazzoni, Laura, Orlow, Irene, Mujumdar, Urvi, Hummer, Amanda, Busam, Klaus, Roy, Pampa, Canchola, Rebecca, Clas, Brian, Cotignola, Javiar, Monroe, Yvette, Armstrong, Bruce, Kricker, Anne, Litchfield, Melisa, Tucker, Paul, Stephens, Nicola, Switzer, Teresa, Theis, Beth, From, Lynn, Chowdhury, Noori, Vanasse, Louise, Purdue, Mark, Northrup, David, Rosso, Stefano, Sacerdote, Carlotta, Leighton, Nancy, Gildea, Maureen, Bonner, Joe, Jeter, Joanne, Klotz, Judith, Wilcox, Homer, Weiss, Helen, Millikan, Robert, Mattingly, Dianne, Player, Jon, Tse, Chiu-Kit, Rebbeck, Timothy, Walker, Amy, Panossian, Saarene, Setlow, Richard, Mohrenweiser, Harvey, Autier, Philippe, Han, Jiali, Caini, Saverio, Hofman, Albert, Kayser, Manfred, Liu, Fan, Nijsten, Tamar, Uitterlinden, Andre G., Kumar, Rajiv, Bishop, Tim, Elliott, Faye, Lazovich, Deann, Polsky, David, Hansson, Johan, Pastorino, Lorenza, Gruis, Nelleke A., Bouwes Bavinck, Jan Nico, Aguilera, Paula, Badenas, Celia, Carrera, Cristina, Gimenez-Xavier, Pol, Malvehy, Josep, Puig-Butille, Joan Anton, Tell-Marti, Gemma, Blizzard, Leigh, Cochrane, Jennifer, Branicki, Wojciech, Debniak, Tadeusz, Morling, Niels, Johansen, Peter, Mayne, Susan, Bale, Allen, Cartmel, Brenda, Ferrucci, Leah, Pfeiffer, Ruth, Palmieri, Giuseppe, Kypreou, Katerina, Bowcock, Anne, Cornelius, Lynn, Council, M. Laurin, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Andresen, Per Arne, Guida, Stefania, Wong, Collaborators (98): Alaibac M, Terence H., Ferrari, A, Valeri, B, Et, Al., Pellegrini, C., Botta, F., Massi, D., Martorelli, C., Facchetti, F., Gandini, S., Maisonneuve, P., Avril, M. -F., Demenais, F., Bressac-de Paillerets, B., Hoiom, V., Cust, A. E., Anton-Culver, H., Gruber, S. B., Gallagher, R. P., Marrett, L., Zanetti, R., Dwyer, T., Thomas, N. E., Begg, C. B., Berwick, M., Puig, S., Potrony, M., Nagore, E., Ghiorzo, P., Menin, C., Manganoni, A. M., Rodolfo, M., Brugnara, S., Passoni, E., Sekulovic, L. K., Baldini, F., Guida, G., Stratigos, A., Ozdemir, F., Ayala, F., Fernandez-de-Misa, R., Quaglino, P., Ribas, G., Romanini, A., Migliano, E., Stanganelli, I., Kanetsky, P. A., Pizzichetta, M. A., Garcia-Borron, J. C., Nan, H., Landi, M. T., Little, J., Newton-Bishop, J., Sera, F., Fargnoli, M. C., Raimondi, S., Alaibac, M., Ferrari, A., Valeri, B., Sicher, M., Mangiola, D., Nazzaro, G., Tosti, G., Mazzarol, G., Giudice, G., Ribero, S., Astrua, C., Mazzoni, L., Orlow, I., Mujumdar, U., Hummer, A., Busam, K., Roy, P., Canchola, R., Clas, B., Cotignola, J., Monroe, Y., Armstrong, B., Kricker, A., Litchfield, M., Tucker, P., Stephens, N., Switzer, T., Theis, B., From, L., Chowdhury, N., Vanasse, L., Purdue, M., Northrup, D., Rosso, S., Sacerdote, C., Leighton, N., Gildea, M., Bonner, J., Jeter, J., Klotz, J., Wilcox, H., Weiss, H., Millikan, R., Mattingly, D., Player, J., Tse, C. -K., Rebbeck, T., Walker, A., Panossian, S., Setlow, R., Mohrenweiser, H., Autier, P., Han, J., Caini, S., Hofman, A., Kayser, M., Liu, F., Nijsten, T., Uitterlinden, A. G., Kumar, R., Bishop, T., Elliott, F., Lazovich, D., Polsky, D., Hansson, J., Pastorino, L., Gruis, N. A., Bouwes Bavinck, J. N., Aguilera, P., Badenas, C., Carrera, C., Gimenez-Xavier, P., Malvehy, J., Puig-Butille, J. A., Tell-Marti, G., Blizzard, L., Cochrane, J., Branicki, W., Debniak, T., Morling, N., Johansen, P., Mayne, S., Bale, A., Cartmel, B., Ferrucci, L., Pfeiffer, R., Palmieri, G., Kypreou, K., Bowcock, A., Cornelius, L., Council, M. L., Motokawa, T., Anno, S., Helsing, P., Andresen, P. A., Guida, S., Wong, T. H., Ege Üniversitesi, Epidemiology, Genetic Identification, and Dermatology

Subjects
Male, Skin Neoplasms, Pediatrics, Cohort Studies, 0302 clinical medicine, Odds Ratio, Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health, 030212 general & internal medicine, Child, Cancer, Pediatric, Tumor, childhood disease, Middle Aged, Perinatology and Child Health, cohort analysis, Meta-analysis, Melanocortin, Cohort, Female, MC1R gene, Receptor, Melanocortin, Type 1, Receptor, Type 1, Cohort study, Adult, medicine.medical_specialty, adolescent, melanoma, cohort analysi, Subgroup analysis, Article, 03 medical and health sciences, Genetic, Clinical Research, 030225 pediatrics, Internal medicine, Genetics, Biomarkers, Tumor, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, Germ-Line Mutation, Aged, Retrospective Studies, Polymorphism, Genetic, business.industry, Prevention, Case-control study, Retrospective cohort study, GEM Study Group, Odds ratio, Logistic Models, M-SKIP Study Group, Case-Control Studies, Cutaneous melanoma, IMI Study Group, business, Biomarkers
Abstract

Ferrari, Andrea/0000-0002-4724-0517; Pellegrini, Cristina/0000-0003-2168-8097; Migliano, Emilia/0000-0002-5316-8937; Maisonneuve, Patrick/0000-0002-5309-4704; Guida, Stefania/0000-0002-8221-6694; Pastorino, Lorenza/0000-0002-2575-8331; CARRERA, CRISTINA/0000-0003-1608-8820; Paillerets, Brigitte Bressac-de/0000-0003-0245-8608; Sekulovic, Lidija Kandolf/0000-0002-5221-5068; Caini, Saverio/0000-0002-2262-1102; Potrony, Miriam/0000-0003-2766-0765; Pizzichetta, Maria Antonietta/0000-0002-4201-8490; Little, Julian/0000-0001-5026-5531; Nagore, Eduardo/0000-0003-3433-8707; Polsky, David/0000-0001-9554-5289; Demenais, Florence/0000-0001-8361-0936; Nazzaro, Gianluca/0000-0001-8534-6497; gandini, sara/0000-0002-1348-4548; Cornelius, Lynn A/0000-0002-6329-2819; Palmieri, Giuseppe/0000-0002-4350-2276; Cotignola, Javier/0000-0003-4473-9854; Ghiorzo, Paola/0000-0002-3651-8173; Autier, Philippe/0000-0003-1538-5321; Bishop, Tim/0000-0002-8752-8785; Sera, Francesco/0000-0002-8890-6848; Newton-Bishop, Julia/0000-0001-9147-6802; Litchfield, Melisa/0000-0003-0002-7724, WOS: 000464254100018, PubMed: 30872112, Background Germline variants in the melanocortin 1 receptor gene (MC1R) might increase the risk of childhood and adolescent melanoma, but a clear conclusion is challenging because of the low number of studies and cases. We assessed the association of MC1R variants with childhood and adolescent melanoma in a large study comparing the prevalence of MC1R variants in child or adolescent patients with melanoma to that in adult patients with melanoma and in healthy adult controls. Methods in this retrospective pooled analysis, we used the M-SKIP Project, the Italian Melanoma Intergroup, and other European groups (with participants from Australia, Canada, France, Greece, Italy, the Netherlands, Serbia, Spain, Sweden, Turkey, and the USA) to assemble an international multicentre cohort. We gathered phenotypic and genetic data from children or adolescents diagnosed with sporadic single-primary cutaneous melanoma at age 20 years or younger, adult patients with sporadic single-primary cutaneous melanoma diagnosed at age 35 years or older, and healthy adult individuals as controls. We calculated odds ratios (ORs) for childhood and adolescent melanoma associated with MC1R variants by multivariable logistic regression. Subgroup analysis was done for children aged 18 or younger and 14 years or younger. Findings We analysed data from 233 young patients, 932 adult patients, and 932 healthy adult controls. Children and adolescents had higher odds of carrying MC1R r variants than did adult patients (OR 1.54, 95% CI 1.02-2.33), including when analysis was restricted to patients aged 18 years or younger (1.80, 1.06-3.07). All investigated variants, except Arg160Trp, tended, to varying degrees, to have higher frequencies in young patients than in adult patients, with significantly higher frequencies found for Val60Leu (OR 1.60, 95% CI 1.05-2.44; p=0.04) and Asp294His (2.15, 1.05-4.40; p=0.04). Compared with those of healthy controls, young patients with melanoma had significantly higher frequencies of any MC1R variants. Interpretation Our pooled analysis of MC1R genetic data of young patients with melanoma showed that MC1R r variants were more prevalent in childhood and adolescent melanoma than in adult melanoma, especially in patients aged 18 years or younger. Our findings support the role of MC1R in childhood and adolescent melanoma susceptibility, with a potential clinical relevance for developing early melanoma detection and preventive strategies. Copyright (c) 2019 Elsevier Ltd. All rights reserved., [AIRC-MFAG-11831]; NATIONAL CANCER INSTITUTEUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P30CA016086, P01CA206980, P30CA016086, P30CA016086] Funding Source: NIH RePORTER, SPD-Pilot/Project-Award-2015; AIRC-MFAG-11831.

Published
2019

2. MC1R variants increased the risk of sporadic cutaneous melanoma in darker-pigmented Caucasians: a pooled-analysis from the M-SKIP project

Author

Pasquali, Elena, García Borrón, José C., Fargnoli, Maria Concetta, Gandini, Sara, Maisonneuve, Patrick, Bagnardi, Vincenzo, Specchia, Claudia, Liu, Fan, Kayser, Manfred, Nijsten, Tamar, Nagore, Eduardo, Kumar, Rajiv, Hansson, Johan, Kanetsky, Peter A., Ghiorzo, Paola, Debniak, Tadeusz, Branicki, Wojciech, Gruis, Nelleke A., Han, Jiali, Dwyer, Terry, Blizzard, Leigh, Landi, Maria Teresa, Palmieri, Giuseppe, Ribas, Gloria, Stratigos, Alexander, Council, M. Laurin, Autier, Philippe, Little, Julian, Newton Bishop, Julia, Sera, Francesco, Raimondi, Sara, Caini, Saverio, Hofman, Albert, Uitterlinden, Andre G., Scherer, Dominique, Hoiom, Veronica, Pastorino, Lorenza, Cochrane, Jennifer, Fernandez De Misa, Ricardo, Morling, Niels, Johansen, Peter, Pfeiffer, Ruth, Kypreou, Katerina, Bowcock, Anne, Cornelius, Lynn, Motokawa, Tomonori, Anno, Sumiko, Helsing, Per, Andresen, Per Arne, Wong, Terence H., International Prevention Research Institute (IPRI), Strathclyde Institute of Global Public Health at iPRI (SIGPH@iPRI), Pasquali, E, García Borrón, J, Fargnoli, M, Gandini, S, Maisonneuve, P, Bagnardi, V, Specchia, C, Liu, F, Kayser, M, Nijsten, T, Nagore, E, Kumar, R, Hansson, J, Kanetsky, P, Ghiorzo, P, Debniak, T, Branicki, W, Gruis, N, Han, J, Dwyer, T, Blizzard, L, Landi, M, Palmieri, G, Ribas, G, Stratigos, A, Council, M, Autier, P, Little, J, Newton Bishop, J, Sera, F, Raimondi, S, Caini, S, Hofman, A, Uitterlinden, A, Scherer, D, Hoiom, V, Pastorino, L, Cochrane, J, Fernandez De Misa, R, Morling, N, Johansen, P, Pfeiffer, R, Kypreou, K, Bowcock, A, Cornelius, L, Motokawa, T, Anno, S, Helsing, P, Andresen, P, Wong, T, Genetic Identification, and Dermatology

Subjects
Risk, Cancer Research, genetic epidemiology, Skin Neoplasms, European Continental Ancestry Group, Skin Pigmentation, Type 1/*genetics Risk Skin Neoplasms/etiology/*genetics Skin Pigmentation genetic epidemiology melanocortin-1 receptor melanoma meta-analysis, Article, White People, SDG 3 - Good Health and Well-being, Melanocortin-1 receptor, European Continental Ancestry Group *Genetic Predisposition to Disease Humans Melanoma/etiology/*genetics Middle Aged Phenotype Receptor, melanoma, Humans, Genetic epidemiology, Meta-analysi, Genetic Predisposition to Disease, Melanoma, melanocortin-1 receptor, Middle Aged, meta-analysis, Phenotype, Oncology, Melanocortin, Meta-analysis, Receptor, Melanocortin, Type 1, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Receptor, Type 1
Abstract

Pasquali, Elena Garcia-Borron, Jose C Fargnoli, Maria Concetta Gandini, Sara Maisonneuve, Patrick Bagnardi, Vincenzo Specchia, Claudia Liu, Fan Kayser, Manfred Nijsten, Tamar Nagore, Eduardo Kumar, Rajiv Hansson, Johan Kanetsky, Peter A Ghiorzo, Paola Debniak, Tadeusz Branicki, Wojciech Gruis, Nelleke A Han, Jiali Dwyer, Terry Blizzard, Leigh Landi, Maria Teresa Palmieri, Giuseppe Ribas, Gloria Stratigos, Alexander Council, M Laurin Autier, Philippe Little, Julian Newton-Bishop, Julia Sera, Francesco Raimondi, Sara eng 10589/Cancer Research UK/United Kingdom K05 CA131675/CA/NCI NIH HHS/ U01 CA083180/CA/NCI NIH HHS/ Research Support, Non-U.S. Gov't 2014/06/12 06:00 Int J Cancer. 2015 Feb 1;136(3):618-31. doi: 10.1002/ijc.29018. Epub 2014 Jun 18.; International audience; The MC1R gene is a key regulator of skin pigmentation. We aimed to evaluate the association between MC1R variants and the risk of sporadic cutaneous melanoma (CM) within the M-SKIP project, an international pooled-analysis on MC1R, skin cancer and phenotypic characteristics. Data included 5,160 cases and 12,119 controls from 17 studies. We calculated a summary odds ratio (SOR) for the association of each of the nine most studied MC1R variants and of variants combined with CM by using random-effects models. Stratified analysis by phenotypic characteristics were also performed. Melanoma risk increased with presence of any of the main MC1R variants: the SOR for each variant ranged from 1.47 (95%CI: 1.17-1.84) for V60L to 2.74 (1.53-4.89) for D84E. Carriers of any MC1R variant had a 66% higher risk of developing melanoma compared with wild-type subjects (SOR; 95%CI: 1.66; 1.41-1.96) and the risk attributable to MC1R variants was 28%. When taking into account phenotypic characteristics, we found that MC1R-associated melanoma risk increased only for darker-pigmented Caucasians: SOR (95%CI) was 3.14 (2.06-4.80) for subjects with no freckles, no red hair and skin Type III/IV. Our study documents the important role of all the main MC1R variants in sporadic CM and suggests that they have a direct effect on melanoma risk, independently on the phenotypic characteristics of carriers. This is of particular importance for assessing preventive strategies, which may be directed to darker-pigmented Caucasians with MC1R variants as well as to lightly pigmented, fair-skinned subjects.

Published
2015
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3. Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies

Author

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, 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, and Study Group, G

Subjects
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
Abstract

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.

Published
2012
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