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Dive into the research topics where Christopher J. Talbot is active.

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Featured researches published by Christopher J. Talbot.


Nature Genetics | 2006

Mutations in FRMD7, a newly identified member of the FERM family, cause X-linked idiopathic congenital nystagmus

Patrick Tarpey; Shery Thomas; N. Sarvananthan; Uma Mallya; Steven Lisgo; Christopher J. Talbot; Eryl O. Roberts; Musarat Awan; Mylvaganam Surendran; Rebecca J. McLean; Robert D. Reinecke; Andrea Langmann; Susanne Lindner; Martina Koch; Sunila Jain; Geoffrey Woodruff; Richard P. Gale; Chris Degg; Konstantinos Droutsas; Ioannis Asproudis; Alina A. Zubcov; Christina Pieh; Colin D. Veal; Rajiv D. Machado; Oliver C. Backhouse; Laura Baumber; Cris S. Constantinescu; Michael C. Brodsky; David G. Hunter; Richard W. Hertle

Idiopathic congenital nystagmus is characterized by involuntary, periodic, predominantly horizontal oscillations of both eyes. We identified 22 mutations in FRMD7 in 26 families with X-linked idiopathic congenital nystagmus. Screening of 42 singleton cases of idiopathic congenital nystagmus (28 male, 14 females) yielded three mutations (7%). We found restricted expression of FRMD7 in human embryonic brain and developing neural retina, suggesting a specific role in the control of eye movement and gaze stability.


PubMed | 2006

Mutations in FRMD7, a newly identified member of the FERM family, cause X-linked idiopathic congenital nystagmus.

Patrick Tarpey; Shery Thomas; N. Sarvananthan; Uma Mallya; Steven Lisgo; Christopher J. Talbot; Eryl O. Roberts; Musarat Awan; Mylvaganam Surendran; R. J. McLean; Robert D. Reinecke; Andrea Langmann; Susanne Lindner; Martina Koch; Sunila Jain; Geoffrey Woodruff; Richard P. Gale; Andrew Bastawrous; Christopher Degg; Konstantinos Droutsas; Ioannis Asproudis; Alina A. Zubcov; Christina Pieh; Colin D. Veal; Rajiv D. Machado; Oliver C. Backhouse; L Baumber; Cris S. Constantinescu; Michael C. Brodsky; David G. Hunter

Idiopathic congenital nystagmus is characterized by involuntary, periodic, predominantly horizontal oscillations of both eyes. We identified 22 mutations in FRMD7 in 26 families with X-linked idiopathic congenital nystagmus. Screening of 42 singleton cases of idiopathic congenital nystagmus (28 male, 14 females) yielded three mutations (7%). We found restricted expression of FRMD7 in human embryonic brain and developing neural retina, suggesting a specific role in the control of eye movement and gaze stability.


Radiotherapy and Oncology | 2014

A genome wide association study (GWAS) providing evidence of an association between common genetic variants and late radiotherapy toxicity

Gillian C. Barnett; Deborah Thompson; Laura Fachal; Sarah L. Kerns; Christopher J. Talbot; Rebecca Elliott; Leila Dorling; Charlotte E. Coles; David P. Dearnaley; Barry S. Rosenstein; Ana Vega; Paul Symonds; John Yarnold; Caroline Baynes; Kyriaki Michailidou; Joe Dennis; Jonathan Tyrer; Jennifer S. Wilkinson; Antonio Gómez-Caamaño; George A. Tanteles; Radka Platte; Rebecca Mayes; Don Conroy; Mel Maranian; Craig Luccarini; S. Gulliford; Matthew R. Sydes; Emma Hall; Joanne Haviland; Vivek Misra

BACKGROUND AND PURPOSE This study was designed to identify common single nucleotide polymorphisms (SNPs) associated with toxicity 2years after radiotherapy. MATERIALS AND METHODS A genome wide association study was performed in 1850 patients from the RAPPER study: 1217 received adjuvant breast radiotherapy and 633 had radical prostate radiotherapy. Genotype associations with both overall and individual endpoints of toxicity were tested via univariable and multivariable regression. Replication of potentially associated SNPs was carried out in three independent patient cohorts who had radiotherapy for prostate (516 RADIOGEN and 862 Gene-PARE) or breast (355 LeND) cancer. RESULTS Quantile-quantile plots show more associations at the P<5×10(-7) level than expected by chance (164 vs. 9 for the prostate cases and 29 vs. 4 for breast cases), providing evidence that common genetic variants are associated with risk of toxicity. Strongest associations were for individual endpoints rather than an overall measure of toxicity in all patients. However, in general, significant associations were not validated at a nominal 0.05 level in the replication cohorts. CONCLUSIONS This largest GWAS to date provides evidence of true association between common genetic variants and toxicity. Associations with toxicity appeared to be tumour site-specific. Future GWAS require higher statistical power, in particular in the validation stage, to test clinically relevant effect sizes of SNP associations with individual endpoints, but the required sample sizes are achievable.


Mammalian Genome | 2003

A strategy for the integration of QTL, gene expression, and sequence analyses.

Robert Hitzemann; Barry Malmanger; Cheryl Reed; Maureen Lawler; Barbara Hitzemann; Shannon Coulombe; Kari J. Buck; Brooks L. S. Rademacher; Nicole A.R. Walter; Yekatrina Polyakov; James M. Sikela; Brenda Gensler; Sonya Burgers; Robert W. Williams; Ken Manly; Jonathan Flint; Christopher J. Talbot

Although hundreds if not thousands of quantitative trait loci (QTL) have been described for a wide variety of complex traits, only a very small number of these QTLs have been reduced to quantitative trait genes (QTGs) and quantitative trait nucleotides (QTNs). A strategy, Multiple Cross Mapping (MCM), is described for detecting QTGs and QTNs that is based on leveraging the information contained within the haplotype structure of the mouse genome. As described in the current report, the strategy utilizes the six F2 intercrosses that can be formed from the C57BL/6J (B6), DBA/2J (D2), BALB/cJ (C), and LP/J (LP) inbred mouse strains. Focusing on the phenotype of basal locomotor activity, it was found that in all three B6 intercrosses, a QTL was detected on distal Chromosome (Chr) 1; no QTL was detected in the other three intercrosses, and thus, it was assumed that at the QTL, the C, D2, and LP strains had functionally identical alleles. These intercross data were used to form a simple algorithm for interrogating microsatellite, single nucleotide polymorphism (SNP), brain gene expression, and sequence databases. The results obtained point to Kcnj9 (which has a markedly lower expression in the B6 strain) as being the likely QTG. Further, it is suggested that the lower expression in the B6 strain results from a polymorphism in the 5′-UTR that disrupts the binding of at least three transcription factors. Overall, the method described should be widely applicable to the analysis of QTLs.


International Journal of Radiation Oncology Biology Physics | 2014

Radiogenomics: Radiobiology enters the era of big data and team science

Barry S. Rosenstein; Catharine M L West; Søren M. Bentzen; Jan Alsner; Christian Nicolaj Andreassen; D. Azria; Gillian C. Barnett; Michael Baumann; N.G. Burnet; Jenny Chang-Claude; Eric Y. Chuang; Charlotte E. Coles; Andre Dekker; Kim De Ruyck; Dirk De Ruysscher; Karen Drumea; Alison M. Dunning; Douglas F. Easton; Rosalind Eeles; Laura Fachal; Sara Gutiérrez-Enríquez; Karin Haustermans; Luis Alberto Henríquez-Hernández; Takashi Imai; George D. D. Jones; Sarah L. Kerns; Zhongxing Liao; Kenan Onel; Harry Ostrer; Matthew Parliament

Reprint requests to: Barry S. Rosenstein,PhD, Department of RadiationOncology, Icahn School of Medicine at Mount Sinai, One Gustave L. LevyPlace, Box 1236, New York, NY 10029. Tel: (212) 824-8960; E-mail:[email protected] by grants from the National Institutes of Health and theDepartment of Defense (1R01CA134444 and PC074201 to B.S.R. andH.O.), the American Cancer Society (RSGT-05-200-01-CCE to B.S.R.),the Instituto de Salud Carlos III (FIS PI10/00164 and PI13/02030 to A.V.),Fondo Europeo de Desarrollo Regional (FEDER 2007e2013) in Spain, aMiguel Servet contract from the Spanish Carlos III Health Institute (CP10/00617 to S.G.-E.), and in the UK by Cancer Research UK.Conflict of interest: E.Y. Chuang holds a patent on biomarkers forpredicting response of esophageal cancer patients to chemoradiationtherapy. The authors report no other conflict of interest.Int J Radiation Oncol Biol Phys, Vol. 89, No. 4, pp. 709e713, 20140360-3016/


Genes, Brain and Behavior | 2002

Multiple Cross Mapping (MCM) markedly improves the localization of a QTL for ethanol‐induced activation

Robert Hitzemann; Barry Malmanger; S. Cooper; Shannon Coulombe; Cheryl Reed; Kristin Demarest; Jay L. Koyner; Laura Cipp; Jonathan Flint; Christopher J. Talbot; Brooks L. S. Rademacher; Kari J. Buck; James McCaughran

- see front matter 2014 Elsevier Inc. All rights reserved.http://dx.doi.org/10.1016/j.ijrobp.2014.03.009


Radiotherapy and Oncology | 2012

Individual patient data meta-analysis shows no association between the SNP rs1800469 in TGFB and late radiotherapy toxicity

Gillian C. Barnett; Rebecca Elliott; Jan Alsner; Christian Nicolaj Andreassen; Osama Abdelhay; N.G. Burnet; Jenny Chang-Claude; Charlotte E. Coles; Sara Gutiérrez-Enríquez; Maria J. Fuentes-Raspall; Maria C. Alonso-Muñoz; Sarah L. Kerns; Annette Raabe; R. Paul Symonds; Petra Seibold; Christopher J. Talbot; Frederik Wenz; Jennifer S. Wilkinson; John Yarnold; Alison M. Dunning; Barry S. Rosenstein; Catharine M L West; Søren M. Bentzen

This study examines the use of multiple cross mapping (MCM) to reduce the interval for an ethanol response QTL on mouse chromosome 1. The phenotype is the acute locomotor response to a 1.5‐g/kg i.p. dose of ethanol. The MCM panel consisted of the six unique intercrosses that can be obtained from the C57BL/6J (B6), DBA/2J (D2), BALB/cJ (C) and LP/J (LP) inbred mouse strains (N ≥ 600/cross). Ethanol response QTL were detected only with the B6xD2 and B6xC intercrosses. For both crosses, the D2 and C alleles were dominant and decreased ethanol response. The QTL information was used to develop an algorithm for sorting and editing the chromosome 1 Mit microsatellite marker set (http://www.jax.org). This process yielded a cluster of markers between 82 and 85 cM (MGI). Evidence that the QTL was localized in or near this interval was obtained by the analysis of a sample (n = 550) of advanced cross heterogenous stock animals. In addition, it was observed that one of the BXD recombinant inbred strains (BXD‐32) had a recombination in the interval of interest which produced the expected change in behavior. Overall, the data obtained suggest that the information available within existing genetic maps coupled with MCM data can be used to reduce the QTL interval. In addition, the MCM data set can be used to interrogate gene expression data to estimate which polymorphisms within the interval of interest are relevant to the QTL.


British Journal of Cancer | 2012

A replicated association between polymorphisms near TNFα and risk for adverse reactions to radiotherapy

Christopher J. Talbot; George A. Tanteles; Gillian C. Barnett; N.G. Burnet; Jenny Chang-Claude; C.E. Coles; Susan E Davidson; Alison M. Dunning; J. Mills; R J S Murray; Odilia Popanda; Petra Seibold; Catharine M L West; John Yarnold; R P Symonds

BACKGROUND AND PURPOSE Reported associations between risk of radiation-induced normal tissue injury and single nucleotide polymorphisms (SNPs) in TGFB1, encoding the pro-fibrotic cytokine transforming growth factor-beta 1 (TGF-β1), remain controversial. To overcome publication bias, the international Radiogenomics Consortium collected and analysed individual patient level data from both published and unpublished studies. MATERIALS AND METHODS TGFB1 SNP rs1800469 c.-1347T>C (previously known as C-509T) genotype, treatment-related data, and clinically-assessed fibrosis (measured at least 2years after therapy) were available in 2782 participants from 11 cohorts. All received adjuvant breast radiotherapy. Associations between late fibrosis or overall toxicity, reported by STAT (Standardised Total Average Toxicity) score, and rs1800469 genotype were assessed. RESULTS No statistically significant associations between either fibrosis or overall toxicity and rs1800469 genotype were observed with univariate or multivariate regression analysis. The multivariate odds ratio (OR), obtained from meta-analysis, for an increase in late fibrosis grade with each additional rare allele of rs1800469 was 0.98 (95% Confidence Interval (CI) 0.85-1.11). This CI is sufficiently narrow to rule out any clinically relevant effect on toxicity risk in carriers vs. non-carriers with a high probability. CONCLUSION This meta-analysis has not confirmed previous reports of association between fibrosis or overall toxicity and rs1800469 genotype in breast cancer patients. It has demonstrated successful collaboration within the Radiogenomics Consortium.


Mammalian Genome | 2003

Fine scale mapping of a genetic locus for conditioned fear.

Christopher J. Talbot; Richard A. Radcliffe; Janice M. Fullerton; Robert Hitzemann; Jeanne M. Wehner; Jonathan Flint

Background:Response to radiotherapy varies between individuals both in terms of efficacy and adverse reactions. Finding genetic determinants of radiation response would allow the tailoring of the treatment, either by altering the radiation dose or by surgery. Despite a growing number of studies in radiogenomics, there are no well-replicated genetic association results.Methods:We carried out a candidate gene association study and replicated the result using three additional large cohorts, a total of 2036 women scored for adverse reactions to radiotherapy for breast cancer.Results:Genetic variation near the tumour necrosis factor alpha gene is shown to affect several clinical endpoints including breast induration, telangiectasia and overall toxicity. In the combined analysis homozygosity for the rare allele increases overall toxicity (P=0.001) and chance of being in the upper quartile of risk with odds ratio of 2.46 (95% confidence interval 1.52–3.98).Conclusion:We have identified that alleles of the class III major histocompatibility complex region associate with overall radiotherapy toxicity in breast cancer patients by using internal replication through a staged design. This is the first well-replicated report of a genetic predictor for radiotherapy reactions.


International Journal of Radiation Oncology Biology Physics | 2012

Standardized total average toxicity score: a scale- and grade-independent measure of late radiotherapy toxicity to facilitate pooling of data from different studies.

Gillian C. Barnett; Catharine M L West; Charlotte E. Coles; Paul Pharoah; Christopher J. Talbot; Rebecca Elliott; George A. Tanteles; R. Paul Symonds; Jennifer S. Wilkinson; Alison M. Dunning; N.G. Burnet; Søren M. Bentzen

Fear conditioning is one of a number of models for investigating the genetic basis of individual variation in emotion and learning. Genetic mapping using crosses between strains of laboratory mice has identified a locus on chromosome one that appears to influence not only variation in conditioned fear, but also in other validated tests of fear-related behaviour, (including the open-field and the elevated-plus maze), suggesting that the rodent locus may act in ways consistent with how a locus influencing susceptibility to anxiety in humans is believed to operate. Here we use high-resolution mapping in genetically heterogeneous mice to show that a quantitative trait locus influencing conditioned fear can be separated from loci influencing open-field activity. Mapping in two different heterogeneous stocks, the Boulder and Northport HS, gave similar map locations for open-field activity at two positions on the current mouse physical map, one at 162 Mb on chromosome one (negative log P-value 5.4) the other at 173 Mb (negative log P-value 4.8), while mapping of contextual conditioned fear in the Boulder HS identified a locus at 170 Mb (negative log P-value 5.4). Estimates of the 95% confidence intervals show that the locations do not overlap. The region containing a gene or genes that influence variation in conditioned fear is approximately 1 megabase in size and contains only one gene of known function, a pre-B cell leukaemia factor.

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Catharine M L West

Manchester Academic Health Science Centre

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Jenny Chang-Claude

German Cancer Research Center

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Barry S. Rosenstein

Icahn School of Medicine at Mount Sinai

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Dirk De Ruysscher

Maastricht University Medical Centre

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Petra Seibold

German Cancer Research Center

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