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Dive into the research topics where Peter Broderick is active.

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Featured researches published by Peter Broderick.


Nature Genetics | 2008

Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1

Christopher I. Amos; Xifeng Wu; Peter Broderick; Ivan P. Gorlov; Jian Gu; T. Eisen; Qiong Dong; Qing Zhang; Xiangjun Gu; Jayaram Vijayakrishnan; Kate Sullivan; Athena Matakidou; Yufei Wang; Gordon B. Mills; Kimberly F. Doheny; Ya Yu Tsai; Wei Vivien Chen; Sanjay Shete; Margaret R. Spitz; Richard S. Houlston

To identify risk variants for lung cancer, we conducted a multistage genome-wide association study. In the discovery phase, we analyzed 315,450 tagging SNPs in 1,154 current and former (ever) smoking cases of European ancestry and 1,137 frequency-matched, ever-smoking controls from Houston, Texas. For replication, we evaluated the ten SNPs most significantly associated with lung cancer in an additional 711 cases and 632 controls from Texas and 2,013 cases and 3,062 controls from the UK. Two SNPs, rs1051730 and rs8034191, mapping to a region of strong linkage disequilibrium within 15q25.1 containing PSMA4 and the nicotinic acetylcholine receptor subunit genes CHRNA3 and CHRNA5, were significantly associated with risk in both replication sets. Combined analysis yielded odds ratios of 1.32 (P < 1 × 10−17) for both SNPs. Haplotype analysis was consistent with there being a single risk variant in this region. We conclude that variation in a region of 15q25.1 containing nicotinic acetylcholine receptors genes contributes to lung cancer risk.


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

Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21.

Albert Tenesa; Susan M. Farrington; James Prendergast; Mary Porteous; Marion Walker; Naila Haq; Rebecca A. Barnetson; Evropi Theodoratou; Roseanne Cetnarskyj; Nicola Cartwright; Colin A. Semple; Andy Clark; Fiona Reid; Lorna Smith; Thibaud Koessler; Paul Pharoah; Stephan Buch; Clemens Schafmayer; Jürgen Tepel; Stefan Schreiber; Henry Völzke; Carsten Schmidt; Jochen Hampe; Jenny Chang-Claude; Michael Hoffmeister; Hermann Brenner; Stefan Wilkening; Federico Canzian; Gabriel Capellá; Victor Moreno

In a genome-wide association study to identify loci associated with colorectal cancer (CRC) risk, we genotyped 555,510 SNPs in 1,012 early-onset Scottish CRC cases and 1,012 controls (phase 1). In phase 2, we genotyped the 15,008 highest-ranked SNPs in 2,057 Scottish cases and 2,111 controls. We then genotyped the five highest-ranked SNPs from the joint phase 1 and 2 analysis in 14,500 cases and 13,294 controls from seven populations, and identified a previously unreported association, rs3802842 on 11q23 (OR = 1.1; P = 5.8 × 10−10), showing population differences in risk. We also replicated and fine-mapped associations at 8q24 (rs7014346; OR = 1.19; P = 8.6 × 10−26) and 18q21 (rs4939827; OR = 1.2; P = 7.8 × 10−28). Risk was greater for rectal than for colon cancer for rs3802842 (P < 0.008) and rs4939827 (P < 0.009). Carrying all six possible risk alleles yielded OR = 2.6 (95% CI = 1.75–3.89) for CRC. These findings extend our understanding of the role of common genetic variation in CRC etiology.


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 | 2013

Germline mutations affecting the proofreading domains of POLE and POLD1 predispose to colorectal adenomas and carcinomas

Claire Palles; Jean-Baptiste Cazier; Kimberley Howarth; Enric Domingo; Angela Jones; Peter Broderick; Zoe Kemp; Sarah L. Spain; Estrella Guarino; Israel Salguero; Amy Sherborne; Daniel Chubb; Luis Carvajal-Carmona; Yusanne Ma; Kulvinder Kaur; Sara E. Dobbins; Ella Barclay; Maggie Gorman; Lynn Martin; Michal Kovac; Sean Humphray; Anneke Lucassen; Christopher Holmes; David R. Bentley; Peter Donnelly; Jenny C. Taylor; Christos Petridis; Rebecca Roylance; Elinor Sawyer; David Kerr

Many individuals with multiple or large colorectal adenomas or early-onset colorectal cancer (CRC) have no detectable germline mutations in the known cancer predisposition genes. Using whole-genome sequencing, supplemented by linkage and association analysis, we identified specific heterozygous POLE or POLD1 germline variants in several multiple-adenoma and/or CRC cases but in no controls. The variants associated with susceptibility, POLE p.Leu424Val and POLD1 p.Ser478Asn, have high penetrance, and POLD1 mutation was also associated with endometrial cancer predisposition. The mutations map to equivalent sites in the proofreading (exonuclease) domain of DNA polymerases ɛ and δ and are predicted to cause a defect in the correction of mispaired bases inserted during DNA replication. In agreement with this prediction, the tumors from mutation carriers were microsatellite stable but tended to acquire base substitution mutations, as confirmed by yeast functional assays. Further analysis of published data showed that the recently described group of hypermutant, microsatellite-stable CRCs is likely to be caused by somatic POLE mutations affecting the exonuclease domain.


Nature Genetics | 2008

Common 5p15.33 and 6p21.33 variants influence lung cancer risk

Yufei Wang; Peter Broderick; Emily L. Webb; Xifeng Wu; Jayaram Vijayakrishnan; Athena Matakidou; Mobshra Qureshi; Qiong Dong; Xiangjun Gu; Wei Vivien Chen; Margaret R. Spitz; T. Eisen; Christopher I. Amos; Richard S. Houlston

We conducted a genome-wide association (GWA) study of lung cancer comparing 511,919 SNP genotypes in 1,952 cases and 1,438 controls. The most significant association was attained at 15q25.1 (rs8042374; P = 7.75 × 10−12), confirming recent observations. Pooling data with two other GWA studies (5,095 cases, 5,200 controls) and with replication in an additional 2,484 cases and 3,036 controls, we identified two newly associated risk loci mapping to 6p21.33 (rs3117582, BAT3-MSH5; Pcombined = 4.97 × 10−10) and 5p15.33 (rs401681, CLPTM1L; Pcombined = 7.90 × 10−9).


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).


PLOS Genetics | 2010

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

Nancy L. Saccone; Robert Culverhouse; Tae-Hwi Schwantes-An; Dale S. Cannon; Xiangning Chen; Sven Cichon; Ina Giegling; Shizhong Han; Younghun Han; Kaisu Keskitalo-Vuokko; Xiangyang Kong; Maria Teresa Landi; Jennie Z. Ma; Susan E. Short; Sarah H. Stephens; Victoria L. Stevens; Lingwei Sun; Yufei Wang; Angela S. Wenzlaff; Steven H. Aggen; Naomi Breslau; Peter Broderick; Nilanjan Chatterjee; Jingchun Chen; Andrew C. Heath; Markku Heliövaara; Nicole R. Hoft; David J. Hunter; Majken K. Jensen; Nicholas G. Martin

Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10−35 and <10−8 respectively). Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10−6). In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10−20) and observe a nominally significant association with COPD (p = 0.01); the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance; these SNPs have previously been associated with mRNA levels of CHRNA5 in brain and lung tissue.


Nature Genetics | 2008

A genome-wide association study identifies six susceptibility loci for chronic lymphocytic leukemia

Maria Chiara Di Bernardo; Dalemari Crowther-Swanepoel; Peter Broderick; Emily L. Webb; Gabrielle S. Sellick; Ruth Wild; Kate Sullivan; Jayaram Vijayakrishnan; Yufei Wang; Alan Pittman; Nicola J. Sunter; Andrew G. Hall; Martin J. S. Dyer; Estella Matutes; Claire Dearden; Tryfonia Mainou-Fowler; Graham Jackson; Geoffrey Summerfield; Robert J. Harris; Andrew R. Pettitt; Peter Hillmen; David Allsup; James R Bailey; Guy Pratt; Chris Pepper; Christopher Fegan; James M. Allan; Daniel Catovsky; Richard S. Houlston

We conducted a genome-wide association study of 299,983 tagging SNPs for chronic lymphocytic leukemia (CLL) and performed validation in two additional series totaling 1,529 cases and 3,115 controls. We identified six previously unreported CLL risk loci at 2q13 (rs17483466; P = 2.36 × 10−10), 2q37.1 (rs13397985, SP140; P = 5.40 × 10−10), 6p25.3 (rs872071, IRF4; P = 1.91 × 10−20), 11q24.1 (rs735665; P = 3.78 × 10−12), 15q23 (rs7176508; P = 4.54 × 10−12) and 19q13.32 (rs11083846, PRKD2; P = 3.96 × 10−9). These data provide the first evidence for the existence of common, low-penetrance susceptibility to a hematological malignancy and new insights into disease causation in CLL.


Nature Genetics | 2010

Meta-analysis of three genome-wide association studies identifies susceptibility loci for colorectal cancer at 1q41, 3q26.2, 12q13.13 and 20q13.33

Richard S. Houlston; Jeremy Peter Cheadle; Sara E. Dobbins; Albert Tenesa; Angela Jones; Kimberley Howarth; Sarah L. Spain; Peter Broderick; Enric Domingo; Susan M. Farrington; James Prendergast; Alan Pittman; Evi Theodoratou; Christopher Smith; Bianca Olver; Axel Walther; Rebecca A. Barnetson; Michael Churchman; Emma Jaeger; Steven Penegar; Ella Barclay; Lynn Martin; Maggie Gorman; Rachel Mager; Elaine Johnstone; Rachel Midgley; Iina Niittymäki; Sari Tuupanen; James Colley; Shelley Idziaszczyk

Genome-wide association studies (GWAS) have identified ten loci harboring common variants that influence risk of developing colorectal cancer (CRC). To enhance the power to identify additional CRC risk loci, we conducted a meta-analysis of three GWAS from the UK which included a total of 3,334 affected individuals (cases) and 4,628 controls followed by multiple validation analyses including a total of 18,095 cases and 20,197 controls. We identified associations at four new CRC risk loci: 1q41 (rs6691170, odds ratio (OR) = 1.06, P = 9.55 × 10−10 and rs6687758, OR = 1.09, P = 2.27 × 10−9), 3q26.2 (rs10936599, OR = 0.93, P = 3.39 × 10−8), 12q13.13 (rs11169552, OR = 0.92, P = 1.89 × 10−10 and rs7136702, OR = 1.06, P = 4.02 × 10−8) and 20q13.33 (rs4925386, OR = 0.93, P = 1.89 × 10−10). In addition to identifying new CRC risk loci, this analysis provides evidence that additional CRC-associated variants of similar effect size remain to be discovered.

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Richard S. Houlston

Institute of Cancer Research

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Sara E. Dobbins

Institute of Cancer Research

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Ian Tomlinson

University of Birmingham

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Steven Lubbe

UCL Institute of Neurology

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Yufei Wang

Imperial College London

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Alan Pittman

University College London

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Julian Peto

Institute of Cancer Research

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Anthony J. Swerdlow

Institute of Cancer Research

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Daniel Chubb

Institute of Cancer Research

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