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5 results on '"Rhian Gwilliam"'

1. A Method to Exploit the Structure of Genetic Ancestry Space to Enhance Case-Control Studies

Author

Corneliu A. Bodea, Benjamin M. Neale, Stephan Ripke, Mark J. Daly, Bernie Devlin, Kathryn Roeder, Murray Barclay, Laurent Peyrin-Biroulet, Mathias Chamaillard, Jean-Frederick Colombel, Mario Cottone, Anthony Croft, Renata D’Incà, Jonas Halfvarson, Katherine Hanigan, Paul Henderson, Jean-Pierre Hugot, Amir Karban, Nicholas A. Kennedy, Mohammed Azam Khan, Marc Lémann, Arie Levine, Dunecan Massey, Monica Milla, Grant W. Montgomery, Sok Meng Evelyn Ng, Ioannis Oikonomou, Harald Peeters, Deborah D. Proctor, Jean-Francois Rahier, Rebecca Roberts, Paul Rutgeerts, Frank Seibold, Laura Stronati, Kirstin M. Taylor, Leif Törkvist, Kullak Ublick, Johan Van Limbergen, Andre Van Gossum, Morten H. Vatn, Hu Zhang, Wei Zhang, Jane M. Andrews, Peter A. Bampton, Timothy H. Florin, Richard Gearry, Krupa Krishnaprasad, Ian C. Lawrance, Gillian Mahy, Graham Radford-Smith, Rebecca L. Roberts, Lisa A. Simms, Leila Amininijad, Isabelle Cleynen, Olivier Dewit, Denis Franchimont, Michel Georges, Debby Laukens, Emilie Theatre, André Van Gossum, Severine Vermeire, Guy Aumais, Leonard Baidoo, Arthur M. Barrie, Karen Beck, Edmond-Jean Bernard, David G. Binion, Alain Bitton, Steve R. Brant, Judy H. Cho, Albert Cohen, Kenneth Croitoru, Lisa W. Datta, Colette Deslandres, Richard H. Duerr, Debra Dutridge, John Ferguson, Joann Fultz, Philippe Goyette, Gordon R. Greenberg, Talin Haritunians, Gilles Jobin, Seymour Katz, Raymond G. Lahaie, Dermot P. McGovern, Linda Nelson, Sok Meng Ng, Kaida Ning, Pierre Paré, Miguel D. Regueiro, John D. Rioux, Elizabeth Ruggiero, L. Philip Schumm, Marc Schwartz, Regan Scott, Yashoda Sharma, Mark S. Silverberg, Denise Spears, A. Hillary Steinhart, Joanne M. Stempak, Jason M. Swoger, Constantina Tsagarelis, Clarence Zhang, Hongyu Zhao, Jan Aerts, Tariq Ahmad, Hazel Arbury, Anthony Attwood, Adam Auton, Stephen G. Ball, Anthony J. Balmforth, Chris Barnes, Jeffrey C. Barrett, Inês Barroso, Anne Barton, Amanda J. Bennett, Sanjeev Bhaskar, Katarzyna Blaszczyk, John Bowes, Oliver J. Brand, Peter S. Braund, Francesca Bredin, Gerome Breen, Morris J. Brown, Ian N. Bruce, Jaswinder Bull, Oliver S. Burren, John Burton, Jake Byrnes, Sian Caesar, Niall Cardin, Chris M. Clee, Alison J. Coffey, John M.C. Connell, Donald F. Conrad, Jason D. Cooper, Anna F. Dominiczak, Kate Downes, Hazel E. Drummond, Darshna Dudakia, Andrew Dunham, Bernadette Ebbs, Diana Eccles, Sarah Edkins, Cathryn Edwards, Anna Elliot, Paul Emery, David M. Evans, Gareth Evans, Steve Eyre, Anne Farmer, Nicol Ferrier, Edward Flynn, Alistair Forbes, Liz Forty, Jayne A. Franklyn, Timothy M. Frayling, Rachel M. Freathy, Eleni Giannoulatou, Polly Gibbs, Paul Gilbert, Katherine Gordon-Smith, Emma Gray, Elaine Green, Chris J. Groves, Detelina Grozeva, Rhian Gwilliam, Anita Hall, Naomi Hammond, Matt Hardy, Pile Harrison, Neelam Hassanali, Husam Hebaishi, Sarah Hines, Anne Hinks, Graham A. Hitman, Lynne Hocking, Chris Holmes, Eleanor Howard, Philip Howard, Joanna M.M. Howson, Debbie Hughes, Sarah Hunt, John D. Isaacs, Mahim Jain, Derek P. Jewell, Toby Johnson, Jennifer D. Jolley, Ian R. Jones, Lisa A. Jones, George Kirov, Cordelia F. Langford, Hana Lango-Allen, G. Mark Lathrop, James Lee, Kate L. Lee, Charlie Lees, Kevin Lewis, Cecilia M. Lindgren, Meeta Maisuria-Armer, Julian Maller, John Mansfield, Jonathan L. Marchini, Paul Martin, Dunecan C.O. Massey, Wendy L. McArdle, Peter McGuffin, Kirsten E. McLay, Gil McVean, Alex Mentzer, Michael L. Mimmack, Ann E. Morgan, Andrew P. Morris, Craig Mowat, Patricia B. Munroe, Simon Myers, William Newman, Elaine R. Nimmo, Michael C. O’Donovan, Abiodun Onipinla, Nigel R. Ovington, Michael J. Owen, Kimmo Palin, Aarno Palotie, Kirstie Parnell, Richard Pearson, David Pernet, John R.B. Perry, Anne Phillips, Vincent Plagnol, Natalie J. Prescott, Inga Prokopenko, Michael A. Quail, Suzanne Rafelt, Nigel W. Rayner, David M. Reid, Anthony Renwick, Susan M. Ring, Neil Robertson, Samuel Robson, Ellie Russell, David St Clair, Jennifer G. Sambrook, Jeremy D. Sanderson, Stephen J. Sawcer, Helen Schuilenburg, Carol E. Scott, Richard Scott, Sheila Seal, Sue Shaw-Hawkins, Beverley M. Shields, Matthew J. Simmonds, Debbie J. Smyth, Elilan Somaskantharajah, Katarina Spanova, Sophia Steer, Jonathan Stephens, Helen E. Stevens, Kathy Stirrups, Millicent A. Stone, David P. Strachan, Zhan Su, Deborah P.M. Symmons, John R. Thompson, Wendy Thomson, Martin D. Tobin, Mary E. Travers, Clare Turnbull, Damjan Vukcevic, Louise V. Wain, Mark Walker, Neil M. Walker, Chris Wallace, Margaret Warren-Perry, Nicholas A. Watkins, John Webster, Michael N. Weedon, Anthony G. Wilson, Matthew Woodburn, B. Paul Wordsworth, Chris Yau, Allan H. Young, Eleftheria Zeggini, Matthew A. Brown, Paul R. Burton, Mark J. Caulfield, Alastair Compston, Martin Farrall, Stephen C.L. Gough, Alistair S. Hall, Andrew T. Hattersley, Adrian V.S. Hill, Christopher G. Mathew, Marcus Pembrey, Jack Satsangi, Michael R. Stratton, Jane Worthington, Matthew E. Hurles, Audrey Duncanson, Willem H. Ouwehand, Miles Parkes, Nazneen Rahman, John A. Todd, Nilesh J. Samani, Dominic P. Kwiatkowski, Mark I. McCarthy, Nick Craddock, Panos Deloukas, Peter Donnelly, Jenefer M. Blackwell, Elvira Bramon, Juan P. Casas, Aiden Corvin, Janusz Jankowski, Hugh S. Markus, Colin N.A. Palmer, Robert Plomin, Anna Rautanen, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Chris C.A. Spencer, Gavin Band, Céline Bellenguez, Colin Freeman, Garrett Hellenthal, Matti Pirinen, Amy Strange, Hannah Blackburn, Suzannah J. Bumpstead, Serge Dronov, Matthew Gillman, Alagurevathi Jayakumar, Owen T. McCann, Jennifer Liddle, Simon C. Potter, Radhi Ravindrarajah, Michelle Ricketts, Matthew Waller, Paul Weston, Sara Widaa, Pamela Whittaker, UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - (MGD) Service de gastro-entérologie, Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, and Genomics of Neurological and Neuropsychiatric Disorders

Subjects
0301 basic medicine, Heredity, Genetics, Genetics (clinical), Computer science, Genetic Linkage, Genome-wide association study, VARIANTS, 030105 genetics & heredity, computer.software_genre, Bayes' theorem, Gene Frequency, HISTORY, IMPUTATION, False positive paradox, Genetics(clinical), Disease, 0303 health sciences, education.field_of_study, 030305 genetics & heredity, Inheritance (genetic algorithm), Genotype, DATABASE, Genetic genealogy, POWER, Population, Genomics, POPULATION STRATIFICATION, Biology, INHERITANCE, Population stratification, Machine learning, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, Allele frequency, FAMILY-BASED ASSOCIATION, 030304 developmental biology, Genetic association, business.industry, Bayes Theorem, DISEASE ASSOCIATION, Human genetics, Hierarchical clustering, Genetics, Population, 030104 developmental biology, Case-Control Studies, 3111 Biomedicine, Artificial intelligence, business, computer, Software, Imputation (genetics)
Abstract

A. Palotie on työryhmän Int IBD Genetics Consortium jäsen. One goal of human genetics is to understand the genetic basis of disease, a challenge for diseases of complex inheritance because risk alleles are few relative to the vast set of benign variants. Risk variants are often sought by association studies in which allele frequencies in case subjects are contrasted with those from population-based samples used as control subjects. In an ideal world we would know population-level allele frequencies, releasing researchers to focus on case subjects. We argue this ideal is possible, at least theoretically, and we outline a path to achieving it in reality. If such a resource were to exist, it would yield ample savings and would facilitate the effective use of data repositories by removing administrative and technical barriers. We call this concept the Universal Control Repository Network (UNICORN), a means to perform association analyses without necessitating direct access to individual-level control data. Our approach to UNICORN uses existing genetic resources and various statistical tools to analyze these data, including hierarchical clustering with spectral analysis of ancestry; and empirical Bayesian analysis along with Gaussian spatial processes to estimate ancestry-specific allele frequencies. We demonstrate our approach using tens of thousands of control subjects from studies of Crohn disease, showing how it controls false positives, provides power similar to that achieved when all control data are directly accessible, and enhances power when control data are limiting or even imperfectly matched ancestrally. These results highlight how UNICORN can enable reliable, powerful, and convenient genetic association analyses without access to the individual-level data.

Published
2016
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2. Genomic Organization of Human CDS2 and Evaluation as a Candidate Gene for Corneal Hereditary Endothelial Dystrophy 2 on Chromosome 20p13

Author

Stephanie Halford, Neil D. Ebenezer, David M. Hunt, Rhian Gwilliam, Pauline Spencer, Moin D. Mohamed, and Suzanne L. Inglis

Subjects
Candidate gene, Chromosomes, Human, 19-20, Molecular Sequence Data, Gene Expression, Corneal dystrophy, Biology, Polymerase Chain Reaction, Cornea, Mice, Cellular and Molecular Neuroscience, medicine, Animals, Humans, In Situ Hybridization, Genomic organization, Corneal Dystrophies, Hereditary, Cloning, Genetics, Chromosome Mapping, Dystrophy, Chromosome, Exons, medicine.disease, Introns, Sensory Systems, Ophthalmology, Diacylglycerol Cholinephosphotransferase
Published
2002
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3. A Detailed Physical and Transcriptional Map of the Region of Chromosome 20 That Is Deleted in Myeloproliferative Disorders and Refinement of the Common Deleted Region

Author

David R. Bentley, Panos Deloukas, Fotios A. Asimakopoulos, Anthony R. Green, Micheala A. Aldred, Sean Humphray, Rhian Gwilliam, James G. R. Gilbert, Anthony J. Bench, and Kim Champion

Subjects
Genetic Markers, Genotype, Transcription, Genetic, T-Lymphocytes, Centromere, Chromosomes, Human, Pair 20, chemical and pharmacologic phenomena, Biology, Loss of heterozygosity, Myeloproliferative Disorders, Gene mapping, Genetics, Humans, Family, Chromosomes, Artificial, Yeast, Polycythemia Vera, Gene, Contig, Homozygote, Chromosome Mapping, DNA, Genetic marker, Microsatellite, Chromosome Deletion, Chromosome 20, Granulocytes, Microsatellite Repeats
Abstract

Acquired deletions of the long arm of chromosome 20 are the most common chromosomal abnormality seen in polycythemia vera and are also associated with other myeloid malignancies. Such deletions are believed to mark the site of one or more tumor suppressor genes, loss of which perturbs normal hematopoiesis. A common deleted region (CDR) has previously been identified on 20q. We have now constructed the most detailed physical map of this region to date—a YAC contig that encompasses the entire CDR and spans 23 cM (11 Mb). This contig contains 140 DNA markers and 65 unique expressed sequences. Our data represent a first step toward a complete transcriptional map of the CDR. The high marker density within the physical map permitted two complementary approaches to reducing the size of the CDR. Microsatellite PCR refined the centromeric boundary of the CDR to D20S465 and was used to search for homozygous deletions in 28 patients using 32 markers. No such deletions were detected. Genetic changes on the remaining chromosome 20 may therefore be too small to be detected or may occur in a subpopulation of cells.

Published
1998
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4. S1751 Copy Number Variant and Extended SNP Genome Wide Association Study in Celiac Disease

Author

Ross McManus, Cisca Wijmenga, Gosia Trynka, Patrick Dubois, Päivi Saavalainen, David A. van Heel, Panagiotis Deloukas, Lude Franke, Rhian Gwilliam, Graham A. Heap, and Karen A. Hunt

Subjects
Messenger RNA, Hepatology, medicine.medical_treatment, Gastroenterology, Biology, Molecular biology, Small hairpin RNA, Cytokine, In vivo, RNA interference, medicine, Gene silencing, human activities, Gene, Functional genomics
Abstract

Background and Aim: RNAi is a powerful biological tool whereby any specific genes of interest can be specifically targeted. However, application of RNAi for silencing genes of the GI tract has proven difficult. We recently described a bacteria-based RNAi technology (transkingdom RNAi, tkRNAi) to simultaneously produce and deliver RNAi to the GI tract (Xiang, Nat Biotech 2006, 697). The aim of this study was to examine whether tkRNAi can be used to silence the expression of IL-10, an anti-inflammatory cytokine, and induce a pro-inflammatory state In Vivo. Methods: After selection of themost powerful siRNA sequence, tkRNAi bacteria were created producing shRNA against mouse IL-10 (TRIP-sh7) and control (TRIP-scrambled). J774.A1 cells were incubated with TRIP-bearing bacteria for 2h at various MOIs, and then stimulated with LPS for 24h. IL-10 gene silencing was analyzed by quantitative RT-PCR and ELISA. To assess In Vivo gene silencing, 12 Balb/c mice were randomized into 3 groups: untreated (n=4); TRIP-sh7 (n=4); TRIP-scrambled (n=4). Following bacteria treatment for 2 weeks, colons were harvested and analyzed by qRT-PCR and IHC staining for IL-10 and γ-IFN. Results: treatment of J774.A1 cells with TRIP-sh7 reduced IL-10 mRNA and protein levels by >80% (p 70% (p < 0.05) compared to animals treated with TRIPscrambled control bacteria. IHC staining of colon tissue demonstrated a marked reduction of IL-10 protein expression in TRIP-sh7 treated mice compared to untreated or mice treated with control bacteria. Moreover, treatment with TRIP-sh7 was associated with increased colonic production of the TH1 cytokine γ-IFN. Treatment with TRIP-sh7 for two weeks was also associated with a significant loss of body weight compared to untreated or mice treated with control bacteria (p < 0.05 for both). Summary and Conclusion: bacteria expressing shRNA against IL-10 can mediate potent gene silencing in LPS-stimulated J774.A1 cells, and in colonic epithelial cells In Vivo. Furthermore colonic levels of γ-IFN were markedly increased following bacterial RNAi against IL-10. tkRNAi approach may be useful for In Vivo functional genomics studies in the GI tract, and for developing RNAi therapies for GI diseases. Since tkRNAi can be adapted to induce silencing in multiple animal species, this approach may be suited for development of animal models in rodents or non-rodent, for diseases such as IBD.

Published
2009
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5. Investigation of Crohn's Disease Risk Loci in Ulcerative Colitis Further Defines Their Molecular Relationship

Author

Cathryn M. Lewis, Jeremy D. Sanderson, Miles Parkes, Dunecan Massey, Derek P. Jewell, Radhi Ravindrarajah, John C. Mansfield, Naomi Hammond, Elaine R. Nimmo, Panos Deloukas, Katarzyna Blaszczyk, David P. Strachan, Gregory Lewis, Heather Attlesey, Dhiraj Varma, Christopher G. Mathew, Clive M. Onnie, Jack Satsangi, Wendy L. McArdle, Mark Tremelling, Rhian Gwilliam, Alan J Lobo, Nicholas A. Watkins, Willem H. Ouwehand, Natalie J. Prescott, Jeffrey C. Barrett, Sarah E. Hunt, Catherine Hanson, Sheila A. Fisher, Jemima Jacob, Charlie W. Lees, Carl A. Anderson, and Hazel E. Drummond

Subjects
Adult, Male, STAT3 Transcription Factor, Genotype, Population, Genome-wide association study, Single-nucleotide polymorphism, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Inflammatory bowel disease, Crohn Disease, Risk Factors, medicine, Humans, Genetic Predisposition to Disease, education, CDKAL1, Genetics, Extracellular Matrix Proteins, tRNA Methyltransferases, education.field_of_study, Crohn's disease, Hepatology, Gastroenterology, Cyclin-Dependent Kinase 5, Janus Kinase 2, medicine.disease, TRNA Methyltransferases, Case-Control Studies, Immunology, Colitis, Ulcerative, Female
Abstract

Background & Aims: Identifying shared and disease-specific susceptibility loci for Crohn's disease (CD) and ulcerative colitis (UC) would help define the biologic relationship between the inflammatory bowel diseases. More than 30 CD susceptibility loci have been identified. These represent important candidate susceptibility loci for UC. Loci discovered by the index genome scans in CD have previously been tested for association with UC, but those identified in the recent meta-analysis await such investigation. Furthermore, the recently identified UC locus at ECM1 requires formal testing for association with CD. Methods: We analyzed 45 single nucleotide polymorphisms, tagging 29 of the loci recently associated with CD in 2527 UC cases and 4070 population controls. We also genotyped the UC-associated ECM1 variant rs11205387 in 1560 CD patients and 3028 controls. Results: Nine regions showed association with UC at a threshold corrected for the 29 loci tested (P < .0017). The strongest association (P = 4.13 x 10(-8); odds ratio = 1.27) was identified with a 170-kilobase region on chromosome 1q32 that contains 3 genes. We also found association with JAK2 and replicated a recently reported association with STAT3, further implicating the role of this signaling pathway in inflammatory bowel disease. Additional novel UC susceptibility genes were LYRM4 and CDKAL1. Twenty of the loci were not associated with UC, and several appear to be specific to CD. ECM1 variation was not associated with CD. Conclusions: Collectively, these data help define the genetic relationship between CD and UC and characterize common, as well as disease-specific mechanisms of pathogenesis.

Published
2009
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