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Dive into the research topics where Nick Orr is active.

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Featured researches published by Nick Orr.


Nature Genetics | 2007

A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer

David J. Hunter; Peter Kraft; Kevin B. Jacobs; David G. Cox; Meredith Yeager; Susan E. Hankinson; Sholom Wacholder; Zhaoming Wang; Robert Welch; Amy Hutchinson; Junwen Wang; Kai Yu; Nilanjan Chatterjee; Nick Orr; Walter C. Willett; Graham A. Colditz; Regina G. Ziegler; Christine D. Berg; Saundra S. Buys; Catherine A. McCarty; Heather Spencer Feigelson; Eugenia E. Calle; Michael J. Thun; Richard B. Hayes; Margaret A. Tucker; Daniela S. Gerhard; Joseph F. Fraumeni; Robert N. Hoover; Gilles Thomas; Stephen J. Chanock

We conducted a genome-wide association study (GWAS) of breast cancer by genotyping 528,173 SNPs in 1,145 postmenopausal women of European ancestry with invasive breast cancer and 1,142 controls. We identified four SNPs in intron 2 of FGFR2 (which encodes a receptor tyrosine kinase and is amplified or overexpressed in some breast cancers) that were highly associated with breast cancer and confirmed this association in 1,776 affected individuals and 2,072 controls from three additional studies. Across the four studies, the association with all four SNPs was highly statistically significant (Ptrend for the most strongly associated SNP (rs1219648) = 1.1 × 10−10; population attributable risk = 16%). Four SNPs at other loci most strongly associated with breast cancer in the initial GWAS were not associated in the replication studies. Our summary results from the GWAS are available online in a form that should speed the identification of additional risk loci.


Nature Genetics | 2007

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Meredith Yeager; Nick Orr; Richard B. Hayes; Kevin B. Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian Staats; Eugenia E. Calle; Heather Spencer Feigelson; Michael J. Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Edward Giovannucci; Walter C. Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L. Andriole; Edward P. Gelmann; Margaret A. Tucker; Daniela S. Gerhard

Recently, common variants on human chromosome 8q24 were found to be associated with prostate cancer risk. While conducting a genome-wide association study in the Cancer Genetic Markers of Susceptibility project with 550,000 SNPs in a nested case-control study (1,172 cases and 1,157 controls of European origin), we identified a new association at 8q24 with an independent effect on prostate cancer susceptibility. The most significant signal is 70 kb centromeric to the previously reported SNP, rs1447295, but shows little evidence of linkage disequilibrium with it. A combined analysis with four additional studies (total: 4,296 cases and 4,299 controls) confirms association with prostate cancer for rs6983267 in the centromeric locus (P = 9.42 × 10−13; heterozygote odds ratio (OR): 1.26, 95% confidence interval (c.i.): 1.13–1.41; homozygote OR: 1.58, 95% c.i.: 1.40–1.78). Each SNP remained significant in a joint analysis after adjusting for the other (rs1447295 P = 1.41 × 10−11; rs6983267 P = 6.62 × 10−10). These observations, combined with compelling evidence for a recombination hotspot between the two markers, indicate the presence of at least two independent loci within 8q24 that contribute to prostate cancer in men of European ancestry. We estimate that the population attributable risk of the new locus, marked by rs6983267, is higher than the locus marked by rs1447295 (21% versus 9%).


Nature Genetics | 2008

Multiple loci identified in a genome-wide association study of prostate cancer

Gilles Thomas; Kevin B. Jacobs; Meredith Yeager; Peter Kraft; Sholom Wacholder; Nick Orr; Kai Yu; Nilanjan Chatterjee; Robert Welch; Amy Hutchinson; Andrew Crenshaw; Geraldine Cancel-Tassin; Brian Staats; Zhaoming Wang; Jesus Gonzalez-Bosquet; Jun Fang; Xiang Deng; Sonja I. Berndt; Eugenia E. Calle; Heather Spencer Feigelson; Michael J. Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Edward Giovannucci; Walter C. Willett; Olivier Cussenot; Antoine Valeri

We followed our initial genome-wide association study (GWAS) of 527,869 SNPs on 1,172 individuals with prostate cancer and 1,157 controls of European origin—nested in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial prospective study—by testing 26,958 SNPs in four independent studies (total of 3,941 cases and 3,964 controls). In the combined joint analysis, we confirmed three previously reported loci (two independent SNPs at 8q24 and one in HNF1B (formerly known as TCF2 on 17q); P < 10−10). In addition, loci on chromosomes 7, 10 (two loci) and 11 were highly significant (between P < 7.31 × 10−13 and P < 2.14 × 10−6). Loci on chromosome 10 include MSMB, which encodes β-microseminoprotein, a primary constituent of semen and a proposed prostate cancer biomarker, and CTBP2, a gene with antiapoptotic activity; the locus on chromosome 7 is at JAZF1, a transcriptional repressor that is fused by chromosome translocation to SUZ12 in endometrial cancer. Of the nine loci that showed highly suggestive associations (P < 2.5 × 10−5), four best fit a recessive model and included candidate susceptibility genes: CPNE3, IL16 and CDH13. Our findings point to multiple loci with moderate effects associated with susceptibility to prostate cancer that, taken together, in the future may predict high risk in select individuals.


Nature Genetics | 2009

A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1).

Gilles Thomas; Kevin B. Jacobs; Peter Kraft; Meredith Yeager; Sholom Wacholder; David G. Cox; Susan E. Hankinson; Amy Hutchinson; Zhaoming Wang; Kai Yu; Nilanjan Chatterjee; Montserrat Garcia-Closas; Jesus Gonzalez-Bosquet; Ludmila Prokunina-Olsson; Nick Orr; Walter C. Willett; Graham A. Colditz; Regina G. Ziegler; Christine D. Berg; Saundra S. Buys; Catherine A. McCarty; Heather Spencer Feigelson; Eugenia E. Calle; Michael J. Thun; Ryan Diver; Ross L. Prentice; Rebecca D. Jackson; Charles Kooperberg; Rowan T. Chlebowski; Jolanta Lissowska

We conducted a three-stage genome-wide association study (GWAS) of breast cancer in 9,770 cases and 10,799 controls in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. In stage 1, we genotyped 528,173 SNPs in 1,145 cases of invasive breast cancer and 1,142 controls. In stage 2, we analyzed 24,909 top SNPs in 4,547 cases and 4,434 controls. In stage 3, we investigated 21 loci in 4,078 cases and 5,223 controls. Two new loci achieved genome-wide significance. A pericentromeric SNP on chromosome 1p11.2 (rs11249433; P = 6.74 × 10−10 adjusted genotype test, 2 degrees of freedom) resides in a large linkage disequilibrium block neighboring NOTCH2 and FCGR1B; this signal was stronger for estrogen-receptor–positive tumors. A second SNP on chromosome 14q24.1 (rs999737; P = 1.74 × 10−7) localizes to RAD51L1, a gene in the homologous recombination DNA repair pathway. We also confirmed associations with loci on chromosomes 2q35, 5p12, 5q11.2, 8q24, 10q26 and 16q12.1.


American Journal of Human Genetics | 2008

TINF2, a Component of the Shelterin Telomere Protection Complex, Is Mutated in Dyskeratosis Congenita

Sharon A. Savage; Neelam Giri; Nick Orr; Peter M. Lansdorp; Blanche P. Alter

Patients with dyskeratosis congenita (DC), a heterogeneous inherited bone marrow failure syndrome, have abnormalities in telomere biology, including very short telomeres and germline mutations in DKC1, TERC, TERT, or NOP10, but approximately 60% of DC patients lack an identifiable mutation. With the very short telomere phenotype and a highly penetrant, rare disease model, a linkage scan was performed on a family with autosomal-dominant DC and no mutations in DKCI, TERC, or TERT. Evidence favoring linkage was found at 2p24 and 14q11.2, and this led to the identification of TINF2 (14q11.2) mutations, K280E, in the proband and her five affected relatives and TINF2 R282H in three additional unrelated DC probands, including one with Revesz syndrome; a fifth DC proband had a R282S mutation. TINF2 mutations were not present in unaffected relatives, DC probands with mutations in DKC1, TERC, or TERT or 298 control subjects. We demonstrate that a fifth gene, TINF2, is mutated in classical DC and, for the first time, in Revesz syndrome. This represents the first shelterin complex mutation linked to human disease and confirms the role of very short telomeres as a diagnostic test for DC.


Nature Genetics | 2009

Identification of a new prostate cancer susceptibility locus on chromosome 8q24.

Meredith Yeager; Nilanjan Chatterjee; Julia Ciampa; Kevin B. Jacobs; Jesus Gonzalez-Bosquet; Richard B. Hayes; Peter Kraft; Sholom Wacholder; Nick Orr; Sonja I. Berndt; Kai Yu; Amy Hutchinson; Zhaoming Wang; Laufey Amundadottir; Heather Spencer Feigelson; Michael J. Thun; W. Ryan Diver; Demetrius Albanes; Jarmo Virtamo; Stephanie J. Weinstein; Fredrick R. Schumacher; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L. Andriole; E. David Crawford; Christopher A. Haiman; Brian E. Henderson; Laurence N. Kolonel; Loic Le Marchand

We report a genome-wide association study in 10,286 cases and 9,135 controls of European ancestry in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. We identify a new association with prostate cancer risk on chromosome 8q24 (rs620861, P = 1.3 × 10−10, heterozygote OR = 1.17, 95% CI 1.10–1.24; homozygote OR = 1.33, 95% CI 1.21–1.45). This defines a new locus associated with prostate cancer susceptibility on 8q24.


Journal of the National Cancer Institute | 2011

Novel Breast Cancer Susceptibility Locus at 9q31.2: Results of a Genome-Wide Association Study

Olivia Fletcher; Nichola Johnson; Nick Orr; Fay J. Hosking; Lorna Gibson; Kate Walker; Diana Zelenika; Ivo Gut; Simon Heath; Claire Palles; Ben Coupland; Peter Broderick; Minouk J. Schoemaker; Michael E. Jones; Jill Williamson; Sarah Chilcott-Burns; Katarzyna Tomczyk; Gemma Simpson; Kevin B. Jacobs; Stephen J. Chanock; David J. Hunter; Ian Tomlinson; Anthony J. Swerdlow; Alan Ashworth; Gillian Ross; Isabel dos Santos Silva; Mark Lathrop; Richard S. Houlston; Julian Peto

BACKGROUND Genome-wide association studies have identified several common genetic variants associated with breast cancer risk. It is likely, however, that a substantial proportion of such loci have not yet been discovered. METHODS We compared 296,114 tagging single-nucleotide polymorphisms in 1694 breast cancer case subjects (92% with two primary cancers or at least two affected first-degree relatives) and 2365 control subjects, with validation in three independent series totaling 11,880 case subjects and 12,487 control subjects. Odds ratios (ORs) and associated 95% confidence intervals (CIs) in each stage and all stages combined were calculated using unconditional logistic regression. Heterogeneity was evaluated with Cochran Q and I(2) statistics. All statistical tests were two-sided. RESULTS We identified a novel risk locus for breast cancer at 9q31.2 (rs865686: OR = 0.89, 95% CI = 0.85 to 0.92, P = 1.75 × 10(-10)). This single-nucleotide polymorphism maps to a gene desert, the nearest genes being Kruppel-like factor 4 (KLF4, 636 kb centromeric), RAD23 homolog B (RAD23B, 794 kb centromeric), and actin-like 7A (ACTL7A, 736 kb telomeric). We also identified two variants (rs3734805 and rs9383938) mapping to 6q25.1 estrogen receptor 1 (ESR1), which were associated with breast cancer in subjects of northern European ancestry (rs3734805: OR = 1.19, 95% CI = 1.11 to 1.27, P = 1.35 × 10(-7); rs9383938: OR = 1.18, 95% CI = 1.11 to 1.26, P = 1.41 × 10(-7)). A variant mapping to 10q26.13, approximately 300 kb telomeric to the established risk locus within the second intron of FGFR2, was also associated with breast cancer risk, although not at genome-wide statistical significance (rs10510102: OR = 1.12, 95% CI = 1.07 to 1.17, P = 1.58 × 10(-6)). CONCLUSIONS These findings provide further evidence on the role of genetic variation in the etiology of breast cancer. Fine mapping will be needed to identify causal variants and to determine their functional effects.


Clinical Cancer Research | 2010

A Marker of Homologous Recombination Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy in Primary Breast Cancer

Monika Karla Graeser; Afshan McCarthy; Christopher J. Lord; Kay Savage; Margaret Hills; Janine Salter; Nick Orr; Marina Parton; Ian E. Smith; Jorge S. Reis-Filho; M. Dowsett; Alan Ashworth; Nicholas C. Turner

Purpose: To assess the prevalence of defective homologous recombination (HR)-based DNA repair in sporadic primary breast cancers, examine the clincopathologic features that correlate with defective HR and the relationship with neoadjuvant chemotherapy response. Experimental Design: We examined a cohort of 68 patients with sporadic primary breast cancer who received neoadjuvant anthracylcine-based chemotherapy, with core biopsies taken 24 hours after the first cycle of chemotherapy. We assessed RAD51 focus formation, a marker of HR competence, by immunofluorescence in postchemotherapy biopsies along with geminin as a marker of proliferative cells. We assessed the RAD51 score as the proportion of proliferative cells with RAD51 foci. Results: A low RAD51 score was present in 26% of cases (15/57, 95% CI: 15%–40%). Low RAD51 score correlated with high histologic grade (P = 0.031) and high baseline Ki67 (P = 0.005). Low RAD51 score was more frequent in triple-negative breast cancers than in ER- and/or HER2-positive breast cancer (67% vs. 19% respectively; P = 0.0036). Low RAD51 score was strongly predictive of pathologic complete response (pathCR) to chemotherapy, with 33% low RAD51 score cancers achieving pathCR compared with 3% of other cancers (P = 0.011). Conclusions: Our results suggest that defective HR, as indicated by low RAD51 score, may be one of the factors that underlie sensitivity to anthracycline-based chemotherapy. Defective HR is frequent in triple-negative breast cancer, but it is also present in a subset of other subtypes, identifying breast cancers that may benefit from therapies that target defective HR such as PARP inhibitors. Clin Cancer Res; 16(24); 6159–68. ©2010 AACR.


PLOS ONE | 2010

A Sequence Polymorphism in MSTN Predicts Sprinting Ability and Racing Stamina in Thoroughbred Horses

Emmeline W. Hill; Jingjing Gu; Suzanne S. Eivers; Rita G. Fonseca; Beatrice A. McGivney; Preethi Govindarajan; Nick Orr; Lisa M. Katz; David E. MacHugh

Variants of the MSTN gene encoding myostatin are associated with muscle hypertrophy phenotypes in a range of mammalian species, most notably cattle, dogs, mice, and humans. Using a sample of registered Thoroughbred horses (n = 148), we have identified a novel MSTN sequence polymorphism that is strongly associated (g.66493737C>T, P = 4.85×10−8) with best race distance among elite racehorses (n = 79). This observation was independently validated (P = 1.91×10−6) in a resampled group of Thoroughbreds (n = 62) and in a cohort of Thoroughbreds (n = 37, P = 0.0047) produced by the same trainer. We observed that C/C horses are suited to fast, short-distance races; C/T horses compete favorably in middle-distance races; and T/T horses have greater stamina. Evaluation of retrospective racecourse performance (n = 142) and stallion progeny performance predict that C/C and C/T horses are more likely to be successful two-year-old racehorses than T/T animals. Here we describe for the first time the identification of a gene variant in Thoroughbred racehorses that is predictive of genetic potential for an athletic phenotype.


PLOS ONE | 2009

A Genome Scan for Positive Selection in Thoroughbred Horses

Jingjing Gu; Nick Orr; Stephen D. E. Park; Lisa M. Katz; G. E. Sulimova; David E. MacHugh; Emmeline W. Hill

Thoroughbred horses have been selected for exceptional racing performance resulting in system-wide structural and functional adaptations contributing to elite athletic phenotypes. Because selection has been recent and intense in a closed population that stems from a small number of founder animals Thoroughbreds represent a unique population within which to identify genomic contributions to exercise-related traits. Employing a population genetics-based hitchhiking mapping approach we performed a genome scan using 394 autosomal and X chromosome microsatellite loci and identified positively selected loci in the extreme tail-ends of the empirical distributions for (1) deviations from expected heterozygosity (Ewens-Watterson test) in Thoroughbred (n = 112) and (2) global differentiation among four geographically diverse horse populations (FST). We found positively selected genomic regions in Thoroughbred enriched for phosphoinositide-mediated signalling (3.2-fold enrichment; P<0.01), insulin receptor signalling (5.0-fold enrichment; P<0.01) and lipid transport (2.2-fold enrichment; P<0.05) genes. We found a significant overrepresentation of sarcoglycan complex (11.1-fold enrichment; P<0.05) and focal adhesion pathway (1.9-fold enrichment; P<0.01) genes highlighting the role for muscle strength and integrity in the Thoroughbred athletic phenotype. We report for the first time candidate athletic-performance genes within regions targeted by selection in Thoroughbred horses that are principally responsible for fatty acid oxidation, increased insulin sensitivity and muscle strength: ACSS1 (acyl-CoA synthetase short-chain family member 1), ACTA1 (actin, alpha 1, skeletal muscle), ACTN2 (actinin, alpha 2), ADHFE1 (alcohol dehydrogenase, iron containing, 1), MTFR1 (mitochondrial fission regulator 1), PDK4 (pyruvate dehydrogenase kinase, isozyme 4) and TNC (tenascin C). Understanding the genetic basis for exercise adaptation will be crucial for the identification of genes within the complex molecular networks underlying obesity and its consequential pathologies, such as type 2 diabetes. Therefore, we propose Thoroughbred as a novel in vivo large animal model for understanding molecular protection against metabolic disease.

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Anthony J. Swerdlow

Institute of Cancer Research

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Olivia Fletcher

Institute of Cancer Research

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Katarzyna Tomczyk

Institute of Cancer Research

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Nichola Johnson

Institute of Cancer Research

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Kevin B. Jacobs

Science Applications International Corporation

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Meredith Yeager

National Institutes of Health

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Peter Broderick

Institute of Cancer Research

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