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Dive into the research topics where Mark M. Iles is active.

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Featured researches published by Mark M. Iles.


Nature Genetics | 2009

Genome-wide association study identifies three loci associated with melanoma risk

D. Timothy Bishop; Florence Demenais; Mark M. Iles; Mark Harland; John C. Taylor; Eve Corda; Juliette Randerson-Moor; Joanne F. Aitken; Marie-Françoise Avril; Esther Azizi; Bert Bakker; Giovanna Bianchi-Scarrà; Brigitte Bressac-de Paillerets; Donato Calista; Lisa A. Cannon-Albright; Thomas Chin-a-Woeng; Tadeusz Dębniak; Gilli Galore-Haskel; Paola Ghiorzo; Ivo Gut; Johan Hansson; Marko Hocevar; Veronica Höiom; John L. Hopper; Christian Ingvar; Peter A. Kanetsky; Richard Kefford; Maria Teresa Landi; Julie Lang; Jan Lubinski

We report a genome-wide association study of melanoma conducted by the GenoMEL consortium based on 317K tagging SNPs for 1,650 selected cases and 4,336 controls, with replication in an additional two cohorts (1,149 selected cases and 964 controls from GenoMEL, and a population-based case-control study in Leeds of 1,163 cases and 903 controls). The genome-wide screen identified five loci with genotyped or imputed SNPs reaching P < 5 × 10−7. Three of these loci were replicated: 16q24 encompassing MC1R (combined P = 2.54 × 10−27 for rs258322), 11q14-q21 encompassing TYR (P = 2.41 × 10−14 for rs1393350) and 9p21 adjacent to MTAP and flanking CDKN2A (P = 4.03 × 10−7 for rs7023329). MC1R and TYR are associated with pigmentation, freckling and cutaneous sun sensitivity, well-recognized melanoma risk factors. Common variants within the 9p21 locus have not previously been associated with melanoma. Despite wide variation in allele frequency, these genetic variants show notable homogeneity of effect across populations of European ancestry living at different latitudes and show independent association to disease risk.


Nature Genetics | 2011

Genome-wide association study identifies three new melanoma susceptibility loci

Jennifer H. Barrett; Mark M. Iles; Mark Harland; John C. Taylor; Joanne F. Aitken; Per Arne Andresen; Lars A. Akslen; Bruce K. Armstrong; M.-F. Avril; Esther Azizi; Bert Bakker; Wilma Bergman; Giovanna Bianchi-Scarrà; Brigitte Bressac-de Paillerets; Donato Calista; Lisa A. Cannon-Albright; Eve Corda; Anne E. Cust; Tadeusz Dȩbniak; David L. Duffy; Alison M. Dunning; Douglas F. Easton; Eitan Friedman; Pilar Galan; Paola Ghiorzo; Graham G. Giles; Johan Hansson; Marko Hocevar; Veronica Höiom; John L. Hopper

We report a genome-wide association study for melanoma that was conducted by the GenoMEL Consortium. Our discovery phase included 2,981 individuals with melanoma and 1,982 study-specific control individuals of European ancestry, as well as an additional 6,426 control subjects from French or British populations, all of whom were genotyped for 317,000 or 610,000 single-nucleotide polymorphisms (SNPs). Our analysis replicated previously known melanoma susceptibility loci. Seven new regions with at least one SNP with P < 10−5 and further local imputed or genotyped support were selected for replication using two other genome-wide studies (from Australia and Texas, USA). Additional replication came from case-control series from the UK and The Netherlands. Variants at three of the seven loci replicated at P < 10−3: an SNP in ATM (rs1801516, overall P = 3.4 × 10−9), an SNP in MX2 (rs45430, P = 2.9 × 10−9) and an SNP adjacent to CASP8 (rs13016963, P = 8.6 × 10−10). A fourth locus near CCND1 remains of potential interest, showing suggestive but inconclusive evidence of replication (rs1485993, overall P = 4.6 × 10−7 under a fixed-effects model and P = 1.2 × 10−3 under a random-effects model). These newly associated variants showed no association with nevus or pigmentation phenotypes in a large British case-control series.


PLOS Genetics | 2008

What Can Genome-Wide Association Studies Tell Us about the Genetics of Common Disease?

Mark M. Iles

The success of genome-wide association studies relies on much of the risk of common diseases being due to common genetic variants; but evidence for this is inconclusive. The results of published genome-wide association studies are examined to see what can be learnt about the distribution of disease-associated variants and how this might influence future study design. Although replicated disease-associated variants tend to be very common and frequency is inversely correlated with estimated effect size, our simulations suggest that such observations are the result of power. We find that for studies conducted to date, the frequency and effect size of significantly associated alleles are likely to be similar to those of the underlying disease alleles that they represent. Little of the genetic variation of disease has been explained so far, but current studies are only adequately powered to detect very common alleles unless they greatly increase disease risk. Thus, although the truth of the common disease / common variant hypothesis remains undecided, recent successes suggest that there are many more common genetic disease-associated variants, requiring larger studies to be identified.


Nature Genetics | 2011

Genome-wide association study identifies a new melanoma susceptibility locus at 1q21.3

Stuart Macgregor; Grant W. Montgomery; Jimmy Z. Liu; Zhen Zhen Zhao; Anjali K. Henders; Mitchell S. Stark; Helen Schmid; Elizabeth A. Holland; David L. Duffy; Mingfeng Zhang; Jodie N. Painter; Dale R. Nyholt; Judith A. Maskiell; Jodie Jetann; Megan Ferguson; Anne E. Cust; Mark A. Jenkins; David C. Whiteman; Håkan Olsson; Susana Puig; Giovanna Bianchi-Scarrà; Johan Hansson; Florence Demenais; Maria Teresa Landi; Tadeusz Dębniak; Rona MacKie; Esther Azizi; Brigitte Bressac-de Paillerets; Alisa M. Goldstein; Peter A. Kanetsky

We performed a genome-wide association study of melanoma in a discovery cohort of 2,168 Australian individuals with melanoma and 4,387 control individuals. In this discovery phase, we confirm several previously characterized melanoma-associated loci at MC1R, ASIP and MTAP–CDKN2A. We selected variants at nine loci for replication in three independent case-control studies (Europe: 2,804 subjects with melanoma, 7,618 control subjects; United States 1: 1,804 subjects with melanoma, 1,026 control subjects; United States 2: 585 subjects with melanoma, 6,500 control subjects). The combined meta-analysis of all case-control studies identified a new susceptibility locus at 1q21.3 (rs7412746, P = 9.0 × 10−11, OR in combined replication cohorts of 0.89 (95% CI 0.85–0.95)). We also show evidence suggesting that melanoma associates with 1q42.12 (rs3219090, P = 9.3 × 10−8). The associated variants at the 1q21.3 locus span a region with ten genes, and plausible candidate genes for melanoma susceptibility include ARNT and SETDB1. Variants at the 1q21.3 locus do not seem to be associated with human pigmentation or measures of nevus density.


Nature Genetics | 2015

Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma

Matthew H. Law; D. Timothy Bishop; Jeffrey E. Lee; Myriam Brossard; Nicholas G. Martin; Eric K. Moses; Fengju Song; Jennifer H. Barrett; Rajiv Kumar; Douglas F. Easton; Paul Pharoah; Anthony J. Swerdlow; Katerina P. Kypreou; John C. Taylor; Mark Harland; Juliette Randerson-Moor; Lars A. Akslen; Per Arne Andresen; M.-F. Avril; Esther Azizi; Giovanna Bianchi Scarrà; Kevin M. Brown; Tadeusz Dębniak; David L. Duffy; David E. Elder; Shenying Fang; Eitan Friedman; Pilar Galan; Paola Ghiorzo; Elizabeth M. Gillanders

Thirteen common susceptibility loci have been reproducibly associated with cutaneous malignant melanoma (CMM). We report the results of an international 2-stage meta-analysis of CMM genome-wide association studies (GWAS). This meta-analysis combines 11 GWAS (5 previously unpublished) and a further three stage 2 data sets, totaling 15,990 CMM cases and 26,409 controls. Five loci not previously associated with CMM risk reached genome-wide significance (P < 5 × 10−8), as did 2 previously reported but unreplicated loci and all 13 established loci. Newly associated SNPs fall within putative melanocyte regulatory elements, and bioinformatic and expression quantitative trait locus (eQTL) data highlight candidate genes in the associated regions, including one involved in telomere biology.


American Journal of Human Genetics | 2010

IRF4 Variants Have Age-Specific Effects on Nevus Count and Predispose to Melanoma

David L. Duffy; Mark M. Iles; Dan Glass; Gu Zhu; Jennifer H. Barrett; Veronica Höiom; Zhen Zhen Zhao; Richard A. Sturm; Nicole Soranzo; Christopher J. Hammond; Marina Kvaskoff; David C. Whiteman; Massimo Mangino; Johan Hansson; Julia Newton-Bishop; Veronique Bataille; Nicholas K. Hayward; Nicholas G. Martin; D. Timothy Bishop; Tim D. Spector; Grant W. Montgomery

High melanocytic nevus count is a strong predictor of melanoma risk. A GWAS of nevus count in Australian adolescent twins identified an association of nevus count with the interferon regulatory factor 4 gene (IRF4 [p = 6 x 10(-9)]). There was a strong genotype-by-age interaction, which was replicated in independent UK samples of adolescents and adults. The rs12203592(*)T allele was associated with high nevus counts and high freckling scores in adolescents, but with low nevus counts and high freckling scores in adults. The rs12203592(*)T increased counts of flat (compound and junctional) nevi in Australian adolescent twins, but decreased counts of raised (intradermal) nevi. In combined analysis of melanoma case-control data from Australia, the UK, and Sweden, the rs12203592(*)C allele was associated with melanoma (odds ratio [OR] 1.15, p = 4 x 10(-3)), most significantly on the trunk (OR = 1.33, p = 2.5 x 10(-5)). The melanoma association was corroborated in a GWAS performed by the GenoMEL consortium for an adjacent SNP, rs872071 (rs872071(*)T: OR 1.14, p = 0.0035; excluding Australian, the UK, and Swedish samples typed at rs12203592: OR 1.08, p = 0.08).


Cancer Epidemiology, Biomarkers & Prevention | 2010

Melanocytic nevi, nevus genes and melanoma risk in a large case-control study in the United Kingdom

Julia Newton-Bishop; Y.M. Chang; Mark M. Iles; John C. Taylor; Bert Bakker; May Chan; Susan Leake; Birute Karpavicius; Sue Haynes; Faye Elliott; Peter A. Kanetsky; Mark Harland; Jennifer H. Barrett; D. T. Bishop

Background: Increased number of melanocytic nevi is a potent melanoma risk factor. We have carried out a large population-based case-control study to explore the environmental and genetic determinants of nevi and the relationship with melanoma risk. Methods: We report nevus phenotype in relation to differing patterns of sun exposure, inherited variation at loci shown in recent genome-wide association studies to be nevus genes, and risk. Results: Increased numbers of nevi were associated with holiday sun exposure, particularly on intermittently sun-exposed body sites (test for Ptrend < 0.0001). Large nevi were also associated with holiday sun exposure (P = 0.002). Single nucleotide polymorphisms (SNP) on chromosomes 9 and 22 were associated with increased numbers of nevi (P = 0.04 and P = 0.002 respectively) and larger nevi (P = 0.03 and P = 0.002), whereas that on chromosome 6 was associated only with large nevi (P = 0.01). Melanoma risk was associated with increased nevus count, large nevi, and atypical nevi for tumors in all body sites (including rare sites) irrespective of age. The risk persisted when adjusted for inheritance of nevus SNPs. Conclusions: The at-risk nevus phenotype is associated with behaviors known to increase melanoma risk (holiday sun exposure). Although SNPs on chromosomes 6, 9, and 22 were shown to be nevus genes, they explained only a small proportion of melanoma risk and nevus phenotype; therefore, several nevus genes likely remain to be identified. Impact: This article confirms the importance of nevi in melanoma pathogenesis and increases understanding of their genetic determinants. Cancer Epidemiol Biomarkers Prev; 19(8); 2043–54. ©2010 AACR.


Nature Genetics | 2013

A variant in FTO shows association with melanoma risk not due to BMI

Mark M. Iles; Matthew H. Law; Simon N. Stacey; Jiali Han; Shenying Fang; Ruth M. Pfeiffer; Mark Harland; Stuart Macgregor; John C. Taylor; Katja K. Aben; Lars A. Akslen; M.-F. Avril; Esther Azizi; Bert Bakker; Kristrun R. Benediktsdottir; Wilma Bergman; Giovanna Bianchi Scarrà; Kevin M. Brown; Donato Calista; Valérie Chaudru; Maria Concetta Fargnoli; Anne E. Cust; Florence Demenais; Anne C. de Waal; Tadeusz Dȩbniak; David E. Elder; Eitan Friedman; Pilar Galan; Paola Ghiorzo; Elizabeth M. Gillanders

We report the results of an association study of melanoma that is based on the genome-wide imputation of the genotypes of 1,353 cases and 3,566 controls of European origin conducted by the GenoMEL consortium. This revealed an association between several SNPs in intron 8 of the FTO gene, including rs16953002, which replicated using 12,313 cases and 55,667 controls of European ancestry from Europe, the USA and Australia (combined P = 3.6 × 10−12, per-allele odds ratio for allele A = 1.16). In addition to identifying a new melanoma-susceptibility locus, this is to our knowledge the first study to identify and replicate an association with SNPs in FTO not related to body mass index (BMI). These SNPs are not in intron 1 (the BMI-related region) and exhibit no association with BMI. This suggests FTOs function may be broader than the existing paradigm that FTO variants influence multiple traits only through their associations with BMI and obesity.


PLOS Genetics | 2010

Multi-variant pathway association analysis reveals the importance of genetic determinants of estrogen metabolism in breast and endometrial cancer susceptibility.

Yen Ling Low; Yuqing Li; Keith Humphreys; Anbupalam Thalamuthu; Yi Li; Hatef Darabi; Sara Wedrén; Carine Bonnard; Kamila Czene; Mark M. Iles; Tuomas Heikkinen; Kristiina Aittomäki; Carl Blomqvist; Heli Nevanlinna; Per Hall; Edison T. Liu; Jianjun Liu

Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multiple weak genetic effects within the metabolic pathway that can only be effectively detected through multi-variant analysis. We conducted a comprehensive association analysis of the estrogen metabolic pathway by interrogating 239 tagSNPs within 35 genes of the pathway in three tumor samples. The discovery sample consisted of 1,596 breast cancer cases, 719 endometrial cancer cases, and 1,730 controls from Sweden; and the validation sample included 2,245 breast cancer cases and 1,287 controls from Finland. We performed admixture maximum likelihood (AML)–based global tests to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three sub-pathways for androgen synthesis, androgen-to-estrogen conversion, and estrogen removal. In the discovery sample, although no single polymorphism was significant after correction for multiple testing, the pathway-based AML global test suggested association with both breast (p global = 0.034) and endometrial (p global = 0.052) cancers. Further testing revealed the association to be focused on polymorphisms within the androgen-to-estrogen conversion sub-pathway, for both breast (p global = 0.008) and endometrial cancer (p global = 0.014). The sub-pathway association was validated in the Finnish sample of breast cancer (p global = 0.015). Further tumor subtype analysis demonstrated that the association of the androgen-to-estrogen conversion sub-pathway was confined to postmenopausal women with sporadic estrogen receptor positive tumors (p global = 0.0003). Gene-based AML analysis suggested CYP19A1 and UGT2B4 to be the major players within the sub-pathway. Our study indicates that the composite genetic determinants related to the androgen–estrogen conversion are important for the induction of two hormone-associated cancers, particularly for the hormone-driven breast tumour subtypes.


PLOS Medicine | 2006

Linkage disequilibrium mapping of CHEK2: Common variation and breast cancer risk

Kristjana Einarsdóttir; Keith Humphreys; Carine Bonnard; Juni Palmgren; Mark M. Iles; Arvid Sjölander; Yuqing Li; Kee Seng Chia; Edison T. Liu; Per Hall; Jianjun Liu; Sara Wedrén

Background Checkpoint kinase 2 (CHEK2) averts cancer development by promoting cell cycle arrest and activating DNA repair in genetically damaged cells. Previous investigation has established a role for the CHEK2 gene in breast cancer aetiology, but studies have largely been limited to the rare 1100delC mutation. Whether common polymorphisms in this gene influence breast cancer risk remains unknown. In this study, we aimed to assess the importance of common CHEK2 variants on population risk for breast cancer by capturing the majority of diversity in the gene using haplotype tagging single nucleotide polymorphisms (tagSNPs). Methods and Findings We analyzed 14 common SNPs spanning 52 kilobases (kb) of the CHEK2 gene in 92 Swedish women. Coverage evaluation indicated that these typed SNPs would efficiently convey association signal also from untyped SNPs in the same region. Six of the 14 SNPs predicted well both the haplotypic and single SNP variations within CHEK2. We genotyped these six tagSNPs in 1,577 postmenopausal breast cancer cases and 1,513 population controls, but found no convincing association between any common CHEK2 haplotype and breast cancer risk. The 1100delC mutation was rare in our Swedish population—0.7% in cases and 0.4% in controls—with a corresponding odds ratio for carriers versus noncarriers of 2.26 (95% confidence interval, 0.99–5.15). Estimates of the population frequency and the odds ratio of 1100delC indicate that our sample is representative of a Northern European population. Conclusions Notwithstanding the involvement of the CHEK2 gene in breast cancer aetiology, we show that common polymorphisms do not influence postmenopausal breast cancer risk.

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D. Timothy Bishop

St James's University Hospital

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Matthew H. Law

QIMR Berghofer Medical Research Institute

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David L. Duffy

QIMR Berghofer Medical Research Institute

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Nicholas K. Hayward

QIMR Berghofer Medical Research Institute

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Peter A. Kanetsky

University of Pennsylvania

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