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Dive into the research topics where Ian Chandler is active.

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Featured researches published by Ian Chandler.


Nature Genetics | 2007

A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21.

Ian Tomlinson; Emily L. Webb; Luis Carvajal-Carmona; Peter Broderick; Zoe Kemp; Sarah L. Spain; Steven Penegar; Ian Chandler; Maggie Gorman; Wendy Wood; Ella Barclay; Steven Lubbe; Lynn Martin; Gabrielle S. Sellick; Emma Jaeger; Richard A. Hubner; Ruth Wild; Andrew Rowan; Sarah Fielding; Kimberley Howarth; Andrew Silver; Wendy Atkin; Kenneth Muir; Richard F. Logan; David Kerr; Elaine Johnstone; Oliver M. Sieber; Richard Gray; Huw D. Thomas; Julian Peto

Much of the variation in inherited risk of colorectal cancer (CRC) is probably due to combinations of common low risk variants. We conducted a genome-wide association study of 550,000 tag SNPs in 930 familial colorectal tumor cases and 960 controls. The most strongly associated SNP (P = 1.72 × 10−7, allelic test) was rs6983267 at 8q24.21. To validate this finding, we genotyped rs6983267 in three additional CRC case-control series (4,361 affected individuals and 3,752 controls; 1,901 affected individuals and 1,079 controls; 1,072 affected individuals and 415 controls) and replicated the association, providing P = 1.27 × 10−14 (allelic test) overall, with odds ratios (ORs) of 1.27 (95% confidence interval (c.i.): 1.16–1.39) and 1.47 (95% c.i.: 1.34–1.62) for heterozygotes and rare homozygotes, respectively. Analyses based on 1,477 individuals with colorectal adenoma and 2,136 controls suggest that susceptibility to CRC is mediated through development of adenomas (OR = 1.21, 95% c.i.: 1.10–1.34; P = 6.89 × 10−5). These data show that common, low-penetrance susceptibility alleles predispose to colorectal neoplasia.


Nature Genetics | 2008

Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer

Richard S. Houlston; Emily L. Webb; Peter Broderick; Alan Pittman; Maria Chiara Di Bernardo; Steven Lubbe; Ian Chandler; Jayaram Vijayakrishnan; Kate Sullivan; Steven Penegar; Luis Carvajal-Carmona; Kimberley Howarth; Emma Jaeger; Sarah L. Spain; Axel Walther; Ella Barclay; Lynn Martin; Maggie Gorman; Enric Domingo; Ana Teixeira; David Kerr; Jean-Baptiste Cazier; Iina Niittymäki; Sari Tuupanen; Auli Karhu; Lauri A. Aaltonen; Ian Tomlinson; Susan M. Farrington; Albert Tenesa; James Prendergast

Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly influence the risk of developing colorectal cancer (CRC). To enhance power to identify additional loci with similar effect sizes, we conducted a meta-analysis of two GWA studies, comprising 13,315 individuals genotyped for 38,710 common tagging SNPs. We undertook replication testing in up to eight independent case-control series comprising 27,418 subjects. We identified four previously unreported CRC risk loci at 14q22.2 (rs4444235, BMP4; P = 8.1 × 10−10), 16q22.1 (rs9929218, CDH1; P = 1.2 × 10−8), 19q13.1 (rs10411210, RHPN2; P = 4.6 × 10−9) and 20p12.3 (rs961253; P = 2.0 × 10−10). These findings underscore the value of large sample series for discovery and follow-up of genetic variants contributing to the etiology of CRC.


Nature Genetics | 2007

A genome-wide association study shows that common alleles of SMAD7 influence colorectal cancer risk

Peter Broderick; Luis Carvajal-Carmona; Alan Pittman; Emily L. Webb; Kimberley Howarth; Andrew Rowan; Steven Lubbe; Sarah L. Spain; Kate Sullivan; Sarah Fielding; Emma Jaeger; Jayaram Vijayakrishnan; Zoe Kemp; Maggie Gorman; Ian Chandler; Elli Papaemmanuil; Steven Penegar; Wendy Wood; Gabrielle S. Sellick; Mobshra Qureshi; Ana Teixeira; Enric Domingo; Ella Barclay; Lynn Martin; Oliver M. Sieber; David Kerr; Richard Gray; Julian Peto; Jean Baptiste Cazier; Ian Tomlinson

To identify risk variants for colorectal cancer (CRC), we conducted a genome-wide association study, genotyping 550,163 tag SNPs in 940 individuals with familial colorectal tumor (627 CRC, 313 advanced adenomas) and 965 controls. We evaluated selected SNPs in three replication sample sets (7,473 cases, 5,984 controls) and identified three SNPs in SMAD7 (involved in TGF-β and Wnt signaling) associated with CRC. Across the four sample sets, the association between rs4939827 and CRC was highly statistically significant (Ptrend = 1.0 × 10−12).


Nature Genetics | 2008

Common genetic variants at the CRAC1 (HMPS) locus on chromosome 15q13.3 influence colorectal cancer risk

Emma Jaeger; Emily L. Webb; Kimberley Howarth; Luis Carvajal-Carmona; Andrew Rowan; Peter Broderick; Axel Walther; Sarah L. Spain; Alan Pittman; Zoe Kemp; Kate Sullivan; Karl Heinimann; Steven Lubbe; Enric Domingo; Ella Barclay; Lynn Martin; Maggie Gorman; Ian Chandler; Jayaram Vijayakrishnan; Wendy Wood; Elli Papaemmanuil; Steven Penegar; Mobshra Qureshi; Susan M. Farrington; Albert Tenesa; Jean Baptiste Cazier; David Kerr; Richard Gray; Julian Peto; Malcolm G. Dunlop

We mapped a high-penetrance gene (CRAC1; also known as HMPS) associated with colorectal cancer (CRC) in the Ashkenazi population to a 0.6-Mb region on chromosome 15 containing SCG5 (also known as SGNE1), GREM1 and FMN1. We hypothesized that the CRAC1 locus harbored low-penetrance variants that increased CRC risk in the general population. In a large series of colorectal cancer cases and controls, SNPs near GREM1 and SCG5 were strongly associated with increased CRC risk (for rs4779584, P = 4.44 × 10−14).


Journal of Clinical Oncology | 2009

Clinical Implications of the Colorectal Cancer Risk Associated With MUTYH Mutation

Steven Lubbe; Maria Chiara Di Bernardo; Ian Chandler; Richard S. Houlston

PURPOSE Biallelic mutations in the base excision DNA repair gene MUTYH predispose to colorectal cancer (CRC). Evidence that monoallelic mutations also confer an elevated CRC risk is controversial. Precise quantification of the CRC risk and the phenotype associated with MUTYH mutations is relevant to the counseling, surveillance, and clinical management of at-risk individuals. METHODS We analyzed a population-based series of 9,268 patients with CRC and 5,064 controls for the Y179C and G396D MUTYH mutations. We related genotypes to phenotype and calculated genotype-specific CRC risks. RESULTS Overall, biallelic mutation status conferred a 28-fold increase in CRC risk (95% CI,17.66 to 44.06); this accounted for 0.3% of CRCs in the cohort. Genotype relative risks of CRC were strongly age dependent, but penetrance was incomplete at age 60 years. CRC that developed in the context of biallelic mutations were microsatellite stable. Biallelic mutation carriers were more likely to have proximal CRC (P = 4.0 x 10(-4)) and synchronous polyps (P = 5.7 x 10(-9)) than noncarriers. The performance characteristics of clinicopathologic criteria for the identification of biallelic mutations are poor. Monoallelic mutation was not associated with an increased CRC risk (odds ratio, 1.07; 95% CI, 0.87 to 1.31). CONCLUSION The high risk and the propensity for proximal disease associated with biallielic MUTYH mutation justify colonoscopic surveillance. Although mutation screening should be directed to patients with APC-negative polyposis and early-onset proximal MSS CRC in whom detection rates will be highest, the expanded phenotype associated with MUTYH mutation needs to be recognized. There is no evidence than monoallelic mutation status per se is clinically important.


The Journal of Pathology | 2009

Clinical and biological significance of CXCL12 and CXCR4 expression in adult testes and germ cell tumours of adults and adolescents

Duncan C. Gilbert; Ian Chandler; Alan McIntyre; N. C. Goddard; Rhian Gabe; Robert Huddart; Janet Shipley

Interaction between the chemokine CXCL12 (SDF1) and the G‐protein coupled receptor CXCR4 is responsible for the maintenance of adult stem cell niches and is known to play an important role in utero in the migration of primordial germ cells. We demonstrate expression of CXCL12 by Sertoli cells and confirm CXCR4 expression by the germ cell population of the adult human testes. CXCR4 is also known to mediate organ‐specific patterns of metastases in a range of common cancers. We identify consistent expression of CXCR4 mRNA and protein in testicular germ cell tumours (TGCT) that accounts for their patterns of relapse in sites of known CXCL12 expression. Extragonadal primary germ cell tumours express CXCR4 and their sites of occurrence are coincident with areas of known CXCL12 expression in utero. We show that CXCL12 stimulates the invasive migration of a TGCT cell line in vitro in a CXCR4‐dependent fashion and activates ERK. Furthermore, we demonstrate that expression of CXCL12 in stage I non‐seminomas is significantly associated with organ‐confined disease post‐orchidectomy and reduced risk of relapse (p = 0.003). This may be through the loss of CXCL12 gradients that might otherwise attract cells away from the primary tumour. We propose CXCL12 expression as a potential predictor of subsequent relapse that could lead to avoiding unnecessary treatment and associated late toxicities. Our observations support a role for CXCL12/CXCR4 in the adult germ cell population and demonstrate pathological function in germ cell tumour development and metastasis that may have clinical utility. Copyright


Gut | 2013

Cumulative impact of common genetic variants and other risk factors on colorectal cancer risk in 42 103 individuals

Malcolm G. Dunlop; Albert Tenesa; Susan M. Farrington; Stephane Ballereau; David H. Brewster; Thibaud Koessler; Paul Pharoah; Clemens Schafmayer; Jochen Hampe; Henry Völzke; Jenny Chang-Claude; Michael Hoffmeister; Hermann Brenner; Susanna von Holst; Simone Picelli; Annika Lindblom; Mark A. Jenkins; John L. Hopper; Graham Casey; David Duggan; Polly A. Newcomb; Anna Abulí; Xavier Bessa; Clara Ruiz-Ponte; Sergi Castellví-Bel; Iina Niittymäki; Sari Tuupanen; Auli Karhu; Lauri A. Aaltonen; Brent W. Zanke

Objective Colorectal cancer (CRC) has a substantial heritable component. Common genetic variation has been shown to contribute to CRC risk. A study was conducted in a large multi-population study to assess the feasibility of CRC risk prediction using common genetic variant data combined with other risk factors. A risk prediction model was built and applied to the Scottish population using available data. Design Nine populations of European descent were studied to develop and validate CRC risk prediction models. Binary logistic regression was used to assess the combined effect of age, gender, family history (FH) and genotypes at 10 susceptibility loci that individually only modestly influence CRC risk. Risk models were generated from case-control data incorporating genotypes alone (n=39 266) and in combination with gender, age and FH (n=11 324). Model discriminatory performance was assessed using 10-fold internal cross-validation and externally using 4187 independent samples. The 10-year absolute risk was estimated by modelling genotype and FH with age- and gender-specific population risks. Results The median number of risk alleles was greater in cases than controls (10 vs 9, p<2.2×10−16), confirmed in external validation sets (Sweden p=1.2×10−6, Finland p=2×10−5). The mean per-allele increase in risk was 9% (OR 1.09; 95% CI 1.05 to 1.13). Discriminative performance was poor across the risk spectrum (area under curve for genotypes alone 0.57; area under curve for genotype/age/gender/FH 0.59). However, modelling genotype data, FH, age and gender with Scottish population data shows the practicalities of identifying a subgroup with >5% predicted 10-year absolute risk. Conclusion Genotype data provide additional information that complements age, gender and FH as risk factors, but individualised genetic risk prediction is not currently feasible. Nonetheless, the modelling exercise suggests public health potential since it is possible to stratify the population into CRC risk categories, thereby informing targeted prevention and surveillance.


Human Molecular Genetics | 2008

Refinement of the basis and impact of common 11q23.1 variation to the risk of developing colorectal cancer

Alan Pittman; Emily L. Webb; Luis Carvajal-Carmona; Kimberley Howarth; Maria Chiara Di Bernardo; Peter Broderick; Sarah L. Spain; Axel Walther; Amy Price; Kate Sullivan; Philip Twiss; Sarah Fielding; Andrew Rowan; Emma Jaeger; Jayaram Vijayakrishnan; Ian Chandler; Steven Penegar; Mobshra Qureshi; Steven Lubbe; Enric Domingo; Zoe Kemp; Ella Barclay; Wendy Wood; Lynn Martin; Maggie Gorman; Huw D. Thomas; Julian Peto; Timothy Bishop; Richard Gray; Eamonn R. Maher

The common single-nucleotide polymorphism (SNP) rs3802842 at 11q23.1 has recently been reported to be associated with risk of colorectal cancer (CRC). To examine this association in detail we genotyped rs3802842 in eight independent case-control series comprising a total of 10 638 cases and 10 457 healthy individuals. A significant association between the C allele of rs3802842 and CRC risk was found (per allele OR = 1.17; 95% confidence interval [CI]: 1.12-1.22; P = 1.08 x 10(-12)) with the risk allele more frequent in rectal than colonic disease (P = 0.02). In combination with 8q21, 8q24, 10p14, 11q, 15q13.3 and 18q21 variants, the risk of CRC increases with an increasing numbers of variant alleles for the six loci (OR(per allele) = 1.19; 95% CI: 1.15-1.23; P(trend) = 7.4 x 10(-24)). Using the data from our genome-wide association study of CRC, LD mapping and imputation, we were able to refine the location of the causal locus to a 60 kb region and screened for coding changes. The absence of exonic mutations in any of the transcripts (FLJ45803, LOC120376, C11orf53 and POU2AF1) mapping to this region makes the association likely to be a consequence of non-coding effects on gene expression.


BMC Cancer | 2006

Evaluation of NTHL1 , NEIL1 , NEIL2 , MPG , TDG , UNG and SMUG1 genes in familial colorectal cancer predisposition

Peter Broderick; Tina Bagratuni; Jairam Vijayakrishnan; Steven Lubbe; Ian Chandler; Richard S. Houlston

BackgroundThe observation that germline mutations in the oxidative DNA damage repair gene MUTYH cause colorectal cancer (CRC) provides strong evidence that dysregulation of the base excision repair (BER) pathway influences disease susceptibility. It is conceivable that germline sequence variation in other BER pathway genes such as NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 also contribute to CRC susceptibility.MethodsTo evaluate whether sequence variants of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes might act as CRC susceptibility alleles, we screened the coding sequence and intron-exon boundaries of these genes in 94 familial CRC cases in which involvement of known genes had been excluded.ResultsThree novel missense variants were identified NEIL2 C367A, TDG3 A196G and UNG2 C262T in patients, which were not observed in 188 healthy control DNAs.ConclusionWe detected novel germline alterations in NEIL2, TDG and UNG patients with CRC. The results suggest a limited role for NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 in development of CRC.


American Journal of Epidemiology | 2012

Comprehensive Evaluation of the Impact of 14 Genetic Variants on Colorectal Cancer Phenotype and Risk

Steven Lubbe; Maria Chiara Di Bernardo; Peter Broderick; Ian Chandler; Richard S. Houlston

To comprehensively evaluate the impact of recently identified colorectal cancer (CRC) variants at 1q41, 3q26.2, 8q23.3, 8q24.21, 10p14, 11q23.1, 12q13.13, 14q22.2, 15q13.3, 16q22.1, 18q21.1, 19q13.11, 20p12.3, and 20q13.33 on risk and CRC phenotype, the authors analyzed 8,878 cases and 6,051 controls from the United Kingdom ascertained in 1999-2007. The impact of variants on the familial CRC risk was enumerated from age-, sex-, and calendar-specific CRC rates in the 50,924 first-degree relatives of cases. Each of the 14 susceptibility loci independently influences CRC with the risk increasing with increasing number of risk alleles carried (per allele odds ratio = 1.13; P = 2.99 × 10(-58)) and, for those within the upper quintile, there is a 2.3-fold increased risk. In first-degree relatives of cases with ≤17, 18-21, and ≥22 risk alleles, standardized incidence ratios were 1.76, 2.08, and 2.25, respectively. Although the discriminatory attributes of the 14 CRC susceptibility loci for individual risk prediction are poor (area under the curve = 0.58), they may allow subgroups of the population at different CRC risks to be distinguished.

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Richard S. Houlston

Institute of Cancer Research

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Steven Lubbe

UCL Institute of Neurology

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Peter Broderick

Institute of Cancer Research

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Alan Pittman

University College London

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Ian Tomlinson

University of Birmingham

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Kimberley Howarth

Wellcome Trust Centre for Human Genetics

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