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5 results on '"Iles MM"'

1. Defining novel causal SNPs and linked phenotypes at melanoma-associated loci

Author

Castaneda-Garcia, C, Iyer, V, Nsengimana, J, Trower, A, Droop, A, Brown, KM, Choi, J, Zhang, T, Harland, M, Newton-Bishop, JA, Bishop, DT, Adams, DJ, Iles, MM, and Robles-Espinoza, CD

Subjects
Phenotype, Skin Neoplasms, Genetics, Humans, Genetic Predisposition to Disease, General Medicine, Melanoma, Polymorphism, Single Nucleotide, Receptor, Melanocortin, Type 1, Molecular Biology, Genetics (clinical), Genome-Wide Association Study
Abstract

A number of genomic regions have been associated with melanoma risk through genome-wide association studies; however, the causal variants underlying the majority of these associations remain unknown. Here, we sequenced either the full locus or the functional regions including exons of 19 melanoma-associated loci in 1959 British melanoma cases and 737 controls. Variant filtering followed by Fisher’s exact test analyses identified 66 variants associated with melanoma risk. Sequential conditional logistic regression identified the distinct haplotypes on which variants reside, and massively parallel reporter assays provided biological insights into how these variants influence gene function. We performed further analyses to link variants to melanoma risk phenotypes and assessed their association with melanoma-specific survival. Our analyses replicate previously known associations in the melanocortin 1 receptor (MC1R) and tyrosinase (TYR) loci, while identifying novel potentially causal variants at the MTAP/CDKN2A and CASP8 loci. These results improve our understanding of the architecture of melanoma risk and outcome.

Published
2022

2. Interplay between demographic, clinical and polygenic risk factors for severe COVID-19

Author

Crossfield, SSR, Chaddock, NJM, Iles, MM, Pujades-Rodriguez, M, and Morgan, AW

Subjects
Male, Ligases, COVID-19 Testing, Epidemiology, Risk Factors, SARS-CoV-2, Humans, COVID-19, General Medicine, Antiviral Agents, Immunosuppressive Agents, Demography, Interleukin-10
Abstract

Background We aimed to identify clinical, socio-demographic and genetic risk factors for severe COVID-19 (hospitalization, critical care admission or death) in the general population. Methods In this observational study, we identified 9560 UK Biobank participants diagnosed with COVID-19 during 2020. A polygenic risk score (PRS) for severe COVID-19 was derived and optimized using publicly available European and trans-ethnic COVID-19 genome-wide summary statistics. We estimated the risk of hospital or critical care admission within 28 days or death within 100 days following COVID-19 diagnosis, and assessed associations with socio-demographic factors, immunosuppressant use and morbidities reported at UK Biobank enrolment (2006–2010) and the PRS. To improve biological understanding, pathway analysis was performed using genetic variants comprising the PRS. Results We included 9560 patients followed for a median of 61 (interquartile range = 34–88) days since COVID-19 diagnosis. The risk of severe COVID-19 increased with age and obesity, and was higher in men, current smokers, those living in socio-economically deprived areas, those with historic immunosuppressant use and individuals with morbidities and higher co-morbidity count. An optimized PRS, enriched for single-nucleotide polymorphisms in multiple immune-related pathways, including the ‘oligoadenylate synthetase antiviral response’ and ‘interleukin-10 signalling’ pathways, was associated with severe COVID-19 (adjusted odds ratio 1.32, 95% CI 1.11–1.58 for the highest compared with the lowest PRS quintile). Conclusion This study conducted in the pre-SARS-CoV-2-vaccination era, emphasizes the novel insights to be gained from using genetic data alongside commonly considered clinical and socio-demographic factors to develop greater biological understanding of severe COVID-19 outcomes.

Published
2022

3. Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148

Author

Fang, J, Jia, J, Makowski, M, Xu, M, Wang, Z, Zhang, T, Hoskins, Jw, Choi, J, Han, Y, Zhang, M, Thomas, J, Kovacs, M, Collins, I, Dzyadyk, M, Thompson, A, O'Neill, M, Das, S, Lan, Q, Koster, R, Solomon, Rs, Kraft, P, Wolpin, Bm, Jansen, Pwtc, Olson, S, Mcglynn, Ka, Kanetsky, Pa, Chatterjee, N, Barrett, Jh, Dunning, Am, Taylor, Jc, Newton Bishop, Ja, Bishop, Dt, Andresson, T, Petersen, Gm, Amos, Ci, Iles, Mm, Nathanson, Kl, Landi, Mt, Vermeulen, M, Brown, Km, Amundadottir, Lt, Canzian, F, Kooperberg, C, Arslan, Aa, Bracci, Pm, Buring, J, Duell, Ej, Gallinger, S, Jacobs, Ej, Kamineni, A, Van Den Eeden, S, Klein, Ap, Kolonel, Ln, Li, D, Olson, Sh, Risch, Ha, Sesso, Hd, Visvanathan, K, Zheng, W, Albanes, D, Austin, Ma, Boutron Ruault, Mc, Bueno de Mesquita, Hb, Cotterchio, M, Gaziano, Jm, Giovannucci, El, Goggins, M, Gross, M, Hassan, M, Helzlsouer, Kj, Holly, Ea, Hunter, Dj, Jenab, M, Kaaks, R, Key, Tj, Khaw, Kt, Krogh, V, Kurtz, Rc, Lacroix, A, Le Marchand, L, Mannisto, S, Patel, Av, Peeters, Phm, Riboli, E, Shu, Xo, Sund, M, Thornquist, M, Tjønneland, A, Tobias, Gs, Trichopoulos, D, Wactawski Wende, J, Yu, H, Yu, K, Zeleniuch Jacquotte, A, Hoover, R, Hartge, P, Fuchs, C, Chanock, Sj, Stevens, V, Caporaso, Ne, Brennan, P, Mckay, J, Wu, X, Hung, Rj, Mclaughlin, Jr, Bickeboller, H, Risch, A, Wichmann, E, Houlston, R, Mann, G, Hopper, J, Aitken, J, Armstrong, B, Giles, G, Holland, E, Kefford, R, Cust, A, Jenkins, M, Schmid, H, Puig, S, Aguilera, P, Badenas, C, Barreiro, A, Carrera, C, Gabriel, D, Xavier, Pg, Iglesias Garcia, P, Malvehy, J, Mila, M, Pigem, R, Potrony, M, Batille, Ja, Marti, Gt, Hayward, N, Martin, N, Montgomery, G, Duffy, D, Whiteman, D, Gregor, Sm, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Ghiorzo, Paola, Bianchi, Giovanna, Pastorino, Lorenza, Bruno, William, Andreotti, Virginia, Queirolo, P, Spagnolo, Francesco, Mackie, R, Lang, J, Gruis, N, van Nieuwpoort, Fa, Out, C, Bergman, W, Kukutsch, N, Bavinck, Jnb, Bakker, B, van der Stoep, N, Ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Janssen, B, Ingvar, C, Olsson, H, Jonsson, G, Borg, A, Harbst, K, Nielsen, K, Zander, As, Molvern, A, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Bressac de Paillerets, B, Demenais, F, Avril, Mf, Chaudru, V, Jeannin, P, Lesueur, F, Maubec, E, Mohamdi, H, Bossard, M, Vaysse, A, Boitier, F, Caron, O, Caux, F, Dalle, S, Dereure, O, Leroux, D, Martin, L, Mateus, C, Robert, C, Stoppa Lyonnet, D, Thomas, L, Wierzbicka, E, Elder, D, Ming, M, Mitra, N, Debniak, T, Lubinski, J, Hocevar, M, Novakovic, S, Peric, B, Skerl, P, Hansson, J, Hoiom, V, Freidman, E, Azizi, E, Baron Epel, O, Scope, A, Pavlotsky, F, Cohen Manheim, I, Laitman, Y, Harland, M, Randerson Moor, J, Laye, J, Davies, J, Nsengimana, J, O'Shea, S, Chan, M, Gascoyne, J, Tucker, Ma, Goldstein, Am, and Yang, X. r.

Subjects
0301 basic medicine, Male, Lung Neoplasms, Skin Neoplasms, General Physics and Astronomy, Genome-wide association study, VARIANTS, Histones, Skin cancer, RNA, Small Interfering, Melanoma, Telomerase, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Pancreas cancer, Regulation of gene expression, Genetics, Zinc finger, Gene knockdown, Multidisciplinary, Proteomics and Chromatin Biology, TRICL Consortium, Chromosome Mapping, GenoMEL Consortium, PANCREATIC-CANCER, Multidisciplinary Sciences, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, Science & Technology - Other Topics, Chromosomes, Human, Pair 5, Female, Lung cancer, Signal Transduction, SUSCEPTIBILITY LOCI, Science, Locus (genetics), Single-nucleotide polymorphism, PROMOTES GROWTH, Biology, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, LUNG-CANCER, Testicular Neoplasms, Cell Line, Tumor, MD Multidisciplinary, Humans, Genetic Predisposition to Disease, QUANTITATIVE PROTEOMICS, GENOME-WIDE ASSOCIATION, Gene, PanScan Consortium, Càncer de pell, Càncer de pàncrees, Alleles, Science & Technology, Kirurgi, HUMAN-CELLS, Telomere Homeostasis, Correction, General Chemistry, Molecular biology, TERT-CLPTM1L LOCUS, Telomere, Pancreatic Neoplasms, 030104 developmental biology, Genetic Loci, TELOMERE LENGTH, Càncer de pulmó, Surgery, Genètica, Genome-Wide Association Study, Transcription Factors
Abstract

Genome wide association studies (GWAS) have mapped multiple independent cancer susceptibility loci to chr5p15.33. Here, we show that fine-mapping of pancreatic and testicular cancer GWAS within one of these loci (Region 2 in CLPTM1L) focuses the signal to nine highly correlated SNPs. Of these, rs36115365-C associated with increased pancreatic and testicular but decreased lung cancer and melanoma risk, and exhibited preferred protein-binding and enhanced regulatory activity. Transcriptional gene silencing of this regulatory element repressed TERT expression in an allele-specific manner. Proteomic analysis identifies allele-preferred binding of Zinc finger protein 148 (ZNF148) to rs36115365-C, further supported by binding of purified recombinant ZNF148. Knockdown of ZNF148 results in reduced TERT expression, telomerase activity and telomere length. Our results indicate that the association with chr5p15.33-Region 2 may be explained by rs36115365, a variant influencing TERT expression via ZNF148 in a manner consistent with elevated TERT in carriers of the C allele., Genetic variants at multiple loci of chr5p15.33 have been associated with susceptibility to numerous cancers. Here the authors show that the association of one of these loci may be explained by a variant, rs36115365, influencing telomerase reverse transcriptase (TERT) expression via ZNF148.

Published
2017

4. Genome-wide association study identifies novel loci predisposing to cutaneous melanoma†

Author

Amos, Ci, Wang, Le, Lee, Je, Gershenwald, Je, Chen, Wv, Fang, S, Kosoy, R, Zhang, M, Qureshi, Aa, Vattathil, S, Schacherer, Cw, Gardner, Jm, Wang, Y, Bishop, Dt, Barrett, Jh, Macgregor, S, Hayward, Nk, Martin, Ng, Duffy, Dl, Mann, Gj, Cust, A, Hopper, J, Brown, Km, Grimm, Ea, Xu, Y, Han, Y, Jing, K, Mchugh, C, Laurie, Cc, Doheny, Kf, Pugh, Ew, Seldin, Mf, Han, J, Wei, Q, Genomel, Investigators, Mega Investigators, Q., AMFS Investigators Mann GJ, Hopper, Jl, Aitken, Jf, Armstrong, Bk, Giles, Gg, Kefford, Rf, Cust, Ae, Jenkins, Ma, Schmid, H, Aguilera, P, Badenas, C, Carrera, C, Cuellar, F, Gabriel, D, Martinez, E, Gonzalez, M, Iglesias, P, Malvehy, J, Marti Laborda, R, Mila, M, Ogbah, Z, Butille, Ja, Puig, S, Alós, L, Arance, A, Arguís, P, Campo, A, Castel, T, Conill, C, Palou, J, Rull, R, Sánchez, M, Vidal Sicart, S, Vilalta, A, Vilella, R, Montgomery, Gw, Whiteman, Dc, Whiteman, D, Webb, P, Green, A, Parsons, P, Purdie, D, Hayward, N, Landi, Mt, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Bianchi, Giovanna, Ghiorzo, Paola, Pastorino, Lorenza, Bruno, William, Battistuzzi, Linda, Gargiulo, Sara, Nasti, Sabina, Gliori, S, Origone, Paola, Andreotti, V, Queirolo, P, Mackie, R, Lang, J, Bishop, Ja, Affleck, P, Harrison, J, Iles, Mm, Randerson Moor, J, Harland, M, Taylor, Jc, Whittaker, L, Kukalizch, K, Leake, S, Karpavicius, B, Haynes, S, Mack, T, Chan, M, Taylor, Y, Davies, J, King, P, Gruis, Na, van Nieuwpoort FA, Out, C, van der Drift, C, Bergman, W, Kukutsch, N, Bavinck, Jn, Bakker, B, van der Stoep, N, ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Olsson, H, Ingvar, C, Jönsson, G, Borg, Å, Måsbäck, A, Lundgren, L, Baeckenhorn, K, Nielsen, K, Casslén, As, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Molven, A, Avril, Mf, Bressac de Paillerets, B, Chaudru, V, Chateigner, N, Corda, E, Jeannin, P, Lesueur, F, de Lichy, M, Maubec, E, Mohamdi, H, Demenais, F, Andry Benzaquen, P, Bachollet, B, Bérard, F, Berthet, P, Boitier, F, Bonadona, V, Bonafé, Jl, Bonnetblanc, Jm, Cambazard, F, Caron, O, Caux, F, Chevrant Breton, J, Chompret, A, Dalle, S, Demange, L, Dereure, O, Doré, Mx, Doutre, Ms, Dugast, C, Faivre, L, Grange, F, Humbert, P, Joly, P, Kerob, D, Lasset, C, Leccia, Mt, Lenoir, G, Leroux, D, Levang, J, Lipsker, D, Mansard, S, Martin, L, Martin Denavit, T, Mateus, C, Michel, Jl, Morel, P, Olivier Faivre, L, Perrot, Jl, Robert, C, Ronger Savle, S, Sassolas, B, Souteyrand, P, Stoppa Lyonnet, D, Thomas, L, Vabres, P, Wierzbicka, E, Elder, D, Kanetsky, P, Knorr, J, Ming, M, Mitra, N, Ruffin, A, Van Belle, P, Debniak, T, Lubiński, J, Mirecka, A, Ertmański, S, Novakovic, S, Hocevar, M, Peric, B, Cerkovnik, P, Höiom, V, Hansson, J, Holland, Ea, Azizi, E, Galore Haskel, G, Friedman, E, Baron Epel, O, Scope, A, Pavlotsky, F, Yakobson, E, Cohen Manheim, I, Laitman, Y, Milgrom, R, Shimoni, I, and Kozlovaa, E.

Subjects
Genetic Markers, Candidate gene, Skin Neoplasms, Ubiquitin-Protein Ligases, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Meta-Analysis as Topic, Genetics, Eye color, Guanine Nucleotide Exchange Factors, Humans, SNP, Genetic Predisposition to Disease, Melanoma, Molecular Biology, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Pigmentation, Association Studies Articles, General Medicine, 3. Good health, Chromosomes, Human, Pair 1, Genetic Loci, Genetic marker, Case-Control Studies, 030220 oncology & carcinogenesis, Cutaneous melanoma, Genome-Wide Association Study
Abstract

We performed a multistage genome-wide association study of melanoma. In a discovery cohort of 1804 melanoma cases and 1026 controls, we identified loci at chromosomes 15q13.1 (HERC2/OCA2 region) and 16q24.3 (MC1R) regions that reached genome-wide significance within this study and also found strong evidence for genetic effects on susceptibility to melanoma from markers on chromosome 9p21.3 in the p16/ARF region and on chromosome 1q21.3 (ARNT/LASS2/ANXA9 region). The most significant single-nucleotide polymorphisms (SNPs) in the 15q13.1 locus (rs1129038 and rs12913832) lie within a genomic region that has profound effects on eye and skin color; notably, 50% of variability in eye color is associated with variation in the SNP rs12913832. Because eye and skin colors vary across European populations, we further evaluated the associations of the significant SNPs after carefully adjusting for European substructure. We also evaluated the top 10 most significant SNPs by using data from three other genome-wide scans. Additional in silico data provided replication of the findings from the most significant region on chromosome 1q21.3 rs7412746 (P = 6 × 10(-10)). Together, these data identified several candidate genes for additional studies to identify causal variants predisposing to increased risk for developing melanoma.

Published
2011

5. Pathway-Based Analysis of a Melanoma Genome-Wide Association Study: Analysis of Genes Related to Tumour-Immunosuppression

Author

Schoof, N, Iles, Mm, Bishop, Dt, Newton Bishop JA, Barrett, Jh, Mann, Gj, Hopper, Jl, Aitken, Jf, Armstrong, Bk, Giles, Gg, Kefford, Rf, Cust, A, Jenkins, M, Aguilera, P, Badenas, C, Carrera, C, Cuellar, F, Gabriel, D, Martinez, E, Gonzalez, M, Iglesias, P, Malvehy, J, Marti Laborda, R, Mila, M, Ogbah, Z, Butille, Ja, Puig, S, Alós, L, Arance, A, Arguís, P, Campo, A, Castel, T, Conill, C, Palou, J, Rull, R, Sánchez, M, Vidal Sicart, S, Vilalta, A, Vilella, R, Martin, Ng, Montgomery, Gw, Duffy, D, Whiteman, D, Macgregor, S, Hayward, Nk, Webb, P, Parsons, P, Purdie, D, Hayward, N, Landi, Mt, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Bianchi, Giovanna, Ghiorzo, Paola, Pastorino, Lorenza, Bruno, William, Battistuzzi, Linda, Gargiulo, Sara, Nasti, Sabina, Gliori, S, Origone, Paola, Queirolo, P, Mackie, R, Lang, J, Bishop, Ja, Affleck, P, Harrison, J, Randerson Moor, J, Harland, M, Taylor, Jc, Whittaker, L, Kukalizch, K, Leake, S, Karpavicius, B, Haynes, S, Mack, T, Chan, M, Taylor, Y, Davies, J, King, P, Gruis, Na, van Nieuwpoort FA, Out, C, van der Drift, C, Bergman, W, Kukutsch, N, Bavinck, Jn, Bakker, B, van der Stoep, N, ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Olsson, H, Ingvar, C, Jönsson, G, Borg, Å, Måsbäck, A, Lundgren, L, Baeckenhorn, K, Nielsen, K, Casslén, As, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Molven, A, Avril, Mf, Bressac de Paillerets, B, Chaudru, V, Chateigner, N, Corda, E, Jeannin, P, Lesueur, F, de Lichy, M, Maubec, E, Mohamdi, H, Demenais, F, Andry Benzaquen, P, Bachollet, B, Bérard, F, Berthet, P, Boitier, F, Bonadona, V, Bonafé, Jl, Bonnetblanc, Jm, Cambazard, F, Caron, O, Caux, F, Chevrant Breton, J, Chompret, A, Dalle, S, Demange, L, Dereure, O, Doré, Mx, Doutre, Ms, Dugast, C, Faivre, L, Grange, F, Humbert, P, Joly, P, Kerob, D, Lasset, C, Leccia, Mt, Lenoir, G, Leroux, D, Levang, J, Lipsker, D, Mansard, S, Martin, L, Martin Denavit, T, Mateus, C, Michel, Jl, Morel, P, Olivier Faivre, L, Perrot, Jl, Robert, C, Ronger Savle, S, Sassolas, B, Souteyrand, P, Stoppa Lyonnet, D, Thomas, L, Vabres, P, Wierzbicka, E, Elder, D, Kanetsky, P, Knorr, J, Ming, M, Mitra, N, Ruffin, A, Van Belle, P, Dębniak, T, Lubiński, J, Mirecka, A, Ertmański, S, Novakovic, S, Hocevar, M, Peric, B, Cerkovnik, P, Höiom, V, Hansson, J, Schmid, H, Holland, Ea, Azizi, E, Galore Haskel, G, Friedman, E, Baron Epel, O, Scope, A, Pavlotsky, F, Yakobson, E, Cohen Manheim, I, Laitman, Y, Milgrom, R, Shimoni, I, Kozlovaa, E., Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Martí Laborda, Rosa Ma., and Universitat de Barcelona

Subjects
Melanomas, Skin Neoplasms, Epidemiology, medicine.medical_treatment, [SDV]Life Sciences [q-bio], lcsh:Medicine, Genome-wide association study, 0302 clinical medicine, Polymorphism (computer science), Genetics of the Immune System, lcsh:Science, Melanoma, Genetics, 0303 health sciences, Multidisciplinary, Cancer Risk Factors, Statistics, Immunosuppression, Genomics, Oncology, Genetic Epidemiology, 030220 oncology & carcinogenesis, Medicine, Research Article, medicine.medical_specialty, Immunology, Genetic Causes of Cancer, Malignant Skin Neoplasms, Single-nucleotide polymorphism, Dermatology, Biostatistics, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, Genome Analysis Tools, Molecular genetics, Genome-Wide Association Studies, medicine, Humans, SNP, Genetic Predisposition to Disease, Statistical Methods, Gene, 030304 developmental biology, Immunosuppression Therapy, Evolutionary Biology, Population Biology, Immunosupressió, lcsh:R, Computational Biology, Human Genetics, medicine.disease, Genetic Polymorphism, Clinical Immunology, lcsh:Q, Population Genetics, Mathematics, Genome-Wide Association Study
Abstract

Systemic immunosuppression is a risk factor for melanoma, and sunburn-induced immunosuppression is thought to be causal. Genes in immunosuppression pathways are therefore candidate melanoma-susceptibility genes. If variants within these genes individually have a small effect on disease risk, the association may be undetected in genome-wide association (GWA) studies due to low power to reach a high significance level. Pathway-based approaches have been suggested as a method of incorporating a priori knowledge into the analysis of GWA studies. In this study, the association of 1113 single nucleotide polymorphisms (SNPs) in 43 genes (39 genomic regions) related to immunosuppression have been analysed using a gene-set approach in 1539 melanoma cases and 3917 controls from the GenoMEL consortium GWA study. The association between melanoma susceptibility and the whole set of tumour-immunosuppression genes, and also predefined functional subgroups of genes, was considered. The analysis was based on a measure formed by summing the evidence from the most significant SNP in each gene, and significance was evaluated empirically by case-control label permutation. An association was found between melanoma and the complete set of genes (pemp = 0.002), as well as the subgroups related to the generation of tolerogenic dendritic cells (pemp = 0.006) and secretion of suppressive factors (pemp = 0.0004), thus providing preliminary evidence of involvement of tumour-immunosuppression gene polymorphisms in melanoma susceptibility. The analysis was repeated on a second phase of the GenoMEL study, which showed no evidence of an association. As one of the first attempts to replicate a pathway-level association, our results suggest that low power and heterogeneity may present challenges.

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