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Martínez-Cadenas C, López S, Ribas G, Flores C, García O, Sevilla A, Smith-Zubiaga I, Ibarrola-Villaba M, Pino-Yanes MDM, Gardeazabal J, Boyano D, García de Galdeano A, Izagirre N, de la Rúa C, Alonso S. Simultaneous purifying selection on the ancestral MC1R allele and positive selection on the melanoma-risk allele V60L in south Europeans. Mol Biol Evol 2013; 30:2654-65. [PMID: 24045876 DOI: 10.1093/molbev/mst158] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
In humans, the geographical apportionment of the coding diversity of the pigmentary locus melanocortin-1 receptor (MC1R) is, unusually, higher in Eurasians than in Africans. This atypical observation has been interpreted as the result of purifying selection due to functional constraint on MC1R in high UV-B radiation environments. By analyzing 3,142 human MC1R alleles from different regions of Spain in the context of additional haplotypic information from the 1000 Genomes (1000G) Project data, we show that purifying selection is also strong in southern Europe, but not so in northern Europe. Furthermore, we show that purifying and positive selection act simultaneously on MC1R. Thus, at least in Spain, regions at opposite ends of the incident UV-B radiation distribution show significantly different frequencies for the melanoma-risk allele V60L (a mutation also associated to red hair and fair skin and even blonde hair), with higher frequency of V60L at those regions of lower incident UV-B radiation. Besides, using the 1000G south European data, we show that the V60L haplogroup is also characterized by an extended haplotype homozygosity (EHH) pattern indicative of positive selection. We, thus, provide evidence for an adaptive value of human skin depigmentation in Europe and illustrate how an adaptive process can simultaneously help to maintain a disease-risk allele. In addition, our data support the hypothesis proposed by Jablonski and Chaplin (Human skin pigmentation as an adaptation to UVB radiation. Proc Natl Acad Sci U S A. 2010;107:8962-8968), which posits that habitation of middle latitudes involved the evolution of partially depigmented phenotypes that are still capable of suitable tanning.
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Teixeira RBC, Rendahl AK, Anderson SM, Mickelson JR, Sigler D, Buchanan BR, Coleman RJ, McCue ME. Coat color genotypes and risk and severity of melanoma in gray quarter horses. J Vet Intern Med 2013; 27:1201-8. [PMID: 23875712 DOI: 10.1111/jvim.12133] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Revised: 04/08/2013] [Accepted: 05/22/2013] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Both graying and melanoma formation in horses have recently been linked to a duplication in the STX17 gene. This duplication, as well as a mutation in the ASIP gene that increases MC1R pathway signaling, affects melanoma risk and severity in gray horses. OBJECTIVE To determine if melanoma susceptibility in gray Quarter Horses (QH) is lower than gray horses from other breeds because of decreased MC1R signaling resulting from a high incidence of the MC1R chestnut coat color allele in the QH population. ANIMALS A total of 335 gray QH with and without dermal melanomas. METHODS Blood or hair root samples were collected from all horses for DNA extraction and genotyping for STX17, ASIP, and MC1R genotypes. Age, sex, and external melanoma presence and grade were recorded. The effect of age and genotype on melanoma presence and severity was evaluated by candidate gene association. RESULTS Melanoma prevalence (16%) and grade (0.35) in this QH cohort was lower than that reported in other breeds. Age was significantly associated with melanoma prevalence (P = 5.28 × 10(-11)) and severity (P = 2.2 × 10(-13)). No significant effect of MC1R genotype on melanoma prevalence or severity was identified. An effect of ASIP genotype on melanoma risk was not detected. Low STX17 homozygosity precluded evaluation of the gray allele effect. CONCLUSION AND CLINICAL IMPORTANCE Melanoma prevalence and severity is lower in this population of gray QH than what is reported in other breeds. This could be because of the infrequent STX17 homozygosity, a mitigating effect of the MC1R mutation on ASIP potentiation of melanoma, other genes in the MC1R signaling pathway, or differences in breed genetic background.
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Affiliation(s)
- R B C Teixeira
- Veterinary Population Medicine, University of Minnesota, St Paul, MN
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Karyadi DM, Karlins E, Decker B, vonHoldt BM, Carpintero-Ramirez G, Parker HG, Wayne RK, Ostrander EA. A copy number variant at the KITLG locus likely confers risk for canine squamous cell carcinoma of the digit. PLoS Genet 2013; 9:e1003409. [PMID: 23555311 PMCID: PMC3610924 DOI: 10.1371/journal.pgen.1003409] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Accepted: 02/07/2013] [Indexed: 12/26/2022] Open
Abstract
The domestic dog is a robust model for studying the genetics of complex disease susceptibility. The strategies used to develop and propagate modern breeds have resulted in an elevated risk for specific diseases in particular breeds. One example is that of Standard Poodles (STPOs), who have increased risk for squamous cell carcinoma of the digit (SCCD), a locally aggressive cancer that causes lytic bone lesions, sometimes with multiple toe recurrence. However, only STPOs of dark coat color are at high risk; light colored STPOs are almost entirely unaffected, suggesting that interactions between multiple pathways are necessary for oncogenesis. We performed a genome-wide association study (GWAS) on STPOs, comparing 31 SCCD cases to 34 unrelated black STPO controls. The peak SNP on canine chromosome 15 was statistically significant at the genome-wide level (Praw = 1.60×10−7; Pgenome = 0.0066). Additional mapping resolved the region to the KIT Ligand (KITLG) locus. Comparison of STPO cases to other at-risk breeds narrowed the locus to a 144.9-Kb region. Haplotype mapping among 84 STPO cases identified a minimal region of 28.3 Kb. A copy number variant (CNV) containing predicted enhancer elements was found to be strongly associated with SCCD in STPOs (P = 1.72×10−8). Light colored STPOs carry the CNV risk alleles at the same frequency as black STPOs, but are not susceptible to SCCD. A GWAS comparing 24 black and 24 light colored STPOs highlighted only the MC1R locus as significantly different between the two datasets, suggesting that a compensatory mutation within the MC1R locus likely protects light colored STPOs from disease. Our findings highlight a role for KITLG in SCCD susceptibility, as well as demonstrate that interactions between the KITLG and MC1R loci are potentially required for SCCD oncogenesis. These findings highlight how studies of breed-limited diseases are useful for disentangling multigene disorders. Domesticated dogs offer a unique mechanism for disentangling complex genetic traits, such as cancer. Over 300 breeds exist worldwide, each selected for particular morphologic and behavioral traits. Unfortunately the breeding programs used to generate such diversity are associated with breed-specific increase in disease. Squamous cell carcinoma of the digit (SCCD) is a locally aggressive cancer that causes lytic bone lesions and, occasionally, death. Among the breeds with the highest risk is the Standard Poodle (STPO), where the disease is found only in dark-coated dogs. We show that the KITLG locus is highly associated with SCCD and that a 5.7-Kb copy number variant is likely causative for the disease when in an expanded form. Interestingly, light-colored STPO carry the putative causal variant at the same frequency as black STPOs, but are protected from SCCD. We show this is likely due to a compensatory mutation in the well-known coat color locus, MC1R. This work demonstrates the utility of dog breeds for understanding the genetic causes of complex diseases of interest to both human and animal health.
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Affiliation(s)
- Danielle M. Karyadi
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Eric Karlins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Brennan Decker
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Bridgett M. vonHoldt
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, United States of America
| | - Gretchen Carpintero-Ramirez
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Heidi G. Parker
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Robert K. Wayne
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, United States of America
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
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Ozola A, Azarjana K, Doniņa S, Proboka G, Mandrika I, Petrovska R, Cēma I, Heisele O, Eņģele L, Streinerte B, Pjanova D. Melanoma risk associated with MC1R gene variants in Latvia and the functional analysis of rare variants. Cancer Genet 2013; 206:81-91. [PMID: 23522749 DOI: 10.1016/j.cancergen.2013.01.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2012] [Revised: 01/11/2013] [Accepted: 01/22/2013] [Indexed: 12/30/2022]
Abstract
To evaluate the association of melanocortin 1 receptor gene (MC1R) variants with melanoma risk in a Latvian population, the MC1R gene was sequenced in 200 melanoma patients and 200 control persons. A functional study of previously uncharacterized, rare MC1R variants was also performed. In total, 26 different MC1R variants, including two novel variants Val165Ile and Val188Ile, were detected. The highest risk of melanoma was associated with the Arg151Cys variant (odds ratio (OR) 4.47, 95% confidence interval (CI) 2.19-9.14, P<0.001). A gene dosage effect was observed, with melanoma risk for carriers of two variants being twice (OR 3.98, 95% CI 2.15-7.38, P<0.001) that of carriers of one variant (OR 1.98, 95% CI 1.26-3.11, P=0.003). After stratification according to the pigmentation phenotype, the risk of melanoma remained in groups with otherwise protective phenotypes. Functional analyses of eight previously uncharacterized MC1R variants revealed that a subset of them is functionally relevant. Our results support the contribution of MC1R variants to a genetic predisposition to melanoma in Latvia.
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Affiliation(s)
- Aija Ozola
- Latvian Biomedical Research and Study Centre, Riga, Latvia.
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Raimondi S, Gandini S, Fargnoli MC, Bagnardi V, Maisonneuve P, Specchia C, Kumar R, Nagore E, Han J, Hansson J, Kanetsky PA, Ghiorzo P, Gruis NA, Dwyer T, Blizzard L, Fernandez-de-Misa R, Branicki W, Debniak T, Morling N, Landi MT, Palmieri G, Ribas G, Stratigos A, Cornelius L, Motokawa T, Anno S, Helsing P, Wong TH, Autier P, García-Borrón JC, Little J, Newton-Bishop J, Sera F, Liu F, Kayser M, Nijsten T. Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies. BMC Med Res Methodol 2012; 12:116. [PMID: 22862891 PMCID: PMC3502117 DOI: 10.1186/1471-2288-12-116] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2012] [Accepted: 07/23/2012] [Indexed: 12/04/2022] Open
Abstract
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.
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Affiliation(s)
- Sara Raimondi
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ramusio 1, Milan, 20141, Italy
- Department of Occupational Health, University of Milan, Milan, Italy
| | - Sara Gandini
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ramusio 1, Milan, 20141, Italy
| | | | - Vincenzo Bagnardi
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ramusio 1, Milan, 20141, Italy
- Department of Statistics, University of Milan Bicocca, Milan, Italy
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ramusio 1, Milan, 20141, Italy
| | - Claudia Specchia
- Department of Biomedical Sciences and Biotechnologies, University of Brescia, Brescia, Italy
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncologia, Valencia, Spain
| | - Jiali Han
- Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Johan Hansson
- Department of Oncology and Pathology, Cancer Center, Karolinska Institutet, Stockholm, Sweden
| | - Peter A Kanetsky
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Paola Ghiorzo
- Department of Internal Medicine and Medical Specialties, University of Genoa, Genoa, Italy
| | - Nelleke A Gruis
- Department of Dermatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Terry Dwyer
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Victoria, Australia
| | - Leigh Blizzard
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Ricardo Fernandez-de-Misa
- Servicio de Dermatologia, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | | | - Tadeusz Debniak
- Department of Genetic and Pathology, Pomeranian Medical University, Polabska, Poland
| | - Niels Morling
- Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Giuseppe Palmieri
- Unit of Cancer Genetics, Istituto di Chimica Biomolecolare, CNR, Sassari, Italy
| | - Gloria Ribas
- Dptd. Oncologia medica y hematologia, Fundacion Investigation Hospital Clinico Universitario de Valencia- INCLIVA, Valencia, Spain
| | - Alexander Stratigos
- Department of Dermatology, University of Athens, Andreas Sygros Hospital, Athens, Greece
| | - Lynn Cornelius
- Division of Dermatology, Washington University, St. Louis, MO, USA
| | - Tomonori Motokawa
- Dermatological R&D Skin Research Department, POLA Chemical Industries, Yokohama, Japan
| | - Sumiko Anno
- Shibaura Institute of Technology, Tokyo, Japan
| | - Per Helsing
- Department of Dermatology, Oslo University Hospital, Oslo, Norway
| | - Terence H Wong
- Department of Dermatology, University of Edinburgh, Edinburgh, UK
| | | | - José C García-Borrón
- Department of Biochemistry and Molecular Biology, University of Murcia, Murcia, Spain
| | - Julian Little
- Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Canada
| | - Julia Newton-Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
| | | | - Fan Liu
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Manfred Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Department of Dermatology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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