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Wellcome Trust Sanger Institute

NonprofitCambridge, United Kingdom
About: Wellcome Trust Sanger Institute is a nonprofit organization based out in Cambridge, United Kingdom. It is known for research contribution in the topics: Population & Genome. The organization has 4009 authors who have published 9671 publications receiving 1224479 citations.


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Journal ArticleDOI
Jeffrey C. Barrett1, James Lee, Charlie W. Lees2, Natalie J. Prescott, Carl A. Anderson1, Carl A. Anderson3, Anne M. Phillips2, Emma Wesley4, Kirstie Parnell4, Hu Zhang, Hazel E. Drummond2, Elaine R. Nimmo2, Dunecan Massey, Kasia Blaszczyk5, Tim Elliott, L Cotterill6, L Cotterill7, Helen Dallal8, Alan J Lobo, Craig Mowat, Jeremy D. Sanderson, Derek P. Jewell, William G. Newman6, Cathryn Edwards, Tariq Ahmad4, John C. Mansfield9, Jack Satsangi2, Miles Parkes, Christopher G. Mathew, Peter Donnelly10, Peter Donnelly3, Leena Peltonen1, Jenefer M. Blackwell, Elvira Bramon, Matthew A. Brown, Juan P. Casas11, Aiden Corvin12, Nicholas John Craddock13, Panos Deloukas1, Audrey Duncanson3, Janusz Jankowski14, Hugh S. Markus15, Mark I. McCarthy10, Colin N. A. Palmer16, Robert Plomin, Anna Rautanen3, Stephen Sawcer17, Nilesh J. Samani18, Richard C. Trembath5, Ananth C. Viswanathan19, Ananth C. Viswanathan20, Nicholas W. Wood, Chris C. A. Spencer3, Céline Bellenguez3, Daniel Davison10, Colin Freeman3, A. Strange3, Cordelia Langford1, Sarah E. Hunt1, Sarah Edkins1, Rhian Gwilliam1, Hannah Blackburn1, Suzannah Bumpstead1, Serge Dronov1, Matthew W. Gillman1, Emma Gray1, Naomi Hammond1, Alagurevathi Jayakumar1, O. T. McCann1, Jennifer Liddle1, M. Perez1, Simon C. Potter1, Radhi Ravindrarajah1, Michelle Ricketts1, Matthew Waller1, Paul A. Weston1, Sara Widaa1, Pamela Whittaker1, Antony P. Attwood17, Antony P. Attwood1, Antony P. Attwood21, Jonathan Stephens21, Jonathan Stephens17, Jennifer G. Sambrook17, Jennifer G. Sambrook21, Willem H. Ouwehand17, Willem H. Ouwehand21, Willem H. Ouwehand1, Wendy L. McArdle22, Susan M. Ring, David P. Strachan 
TL;DR: The Wellcome Trust Case Control Consortium 2 performed a genome-wide association scan for ulcerative colitis in 2,361 cases and 5,417 controls as mentioned in this paper, finding significant evidence of association at three new loci, each containing at least one biologically relevant candidate gene, on chromosomes 20q13 (HNF4A), 16q22 (CDH1 and CDH3), and 7q31 (LAMB1).
Abstract: Ulcerative colitis is a common form of inflammatory bowel disease with a complex etiology. As part of the Wellcome Trust Case Control Consortium 2, we performed a genome-wide association scan for ulcerative colitis in 2,361 cases and 5,417 controls. Loci showing evidence of association at P < 1 x 10(-5) were followed up by genotyping in an independent set of 2,321 cases and 4,818 controls. We find genome-wide significant evidence of association at three new loci, each containing at least one biologically relevant candidate gene, on chromosomes 20q13 (HNF4A; P = 3.2 x 10(-17)), 16q22 (CDH1 and CDH3; P = 2.8 x 10(-8)) and 7q31 (LAMB1; P = 3.0 x 10(-8)). Of note, CDH1 has recently been associated with susceptibility to colorectal cancer, an established complication of longstanding ulcerative colitis. The new associations suggest that changes in the integrity of the intestinal epithelial barrier may contribute to the pathogenesis of ulcerative colitis.

513 citations

Journal ArticleDOI
Jaspal S. Kooner1, Danish Saleheen2, Xueling Sim3, Joban Sehmi4, Joban Sehmi1, Weihua Zhang5, Philippe M. Frossard, Latonya F. Been6, Kee Seng Chia3, Antigone S. Dimas7, Antigone S. Dimas8, Neelam Hassanali7, Tazeen H. Jafar9, Jeremy B M Jowett10, Xinzhong Li5, Venkatesan Radha11, Simon D. Rees12, Simon D. Rees13, Fumihiko Takeuchi, Robin Young2, Tin Aung3, Tin Aung14, Abdul Basit, Manickam Chidambaram11, Debashish Das15, Elin Grundberg16, Åsa K. Hedman7, Zafar I. Hydrie, Muhammed Islam9, Chiea Chuen Khor17, Chiea Chuen Khor3, Sudhir Kowlessur, Malene M. Kristensen10, Samuel Liju11, Wei-Yen Lim3, David R. Matthews7, Jianjun Liu17, Andrew P. Morris7, Alexandra C. Nica8, Janani Pinidiyapathirage18, Inga Prokopenko7, Asif Rasheed, Maria Samuel, Nabi Shah, A. Samad Shera, Kerrin S. Small19, Kerrin S. Small16, Chen Suo3, Ananda R. Wickremasinghe18, Tien Yin Wong14, Tien Yin Wong20, Tien Yin Wong3, Mingyu Yang21, Fan Zhang21, MuTHER12, MuTHER13, Gonçalo R. Abecasis22, Anthony H. Barnett12, Anthony H. Barnett13, Mark J. Caulfield23, Panos Deloukas19, Timothy M. Frayling24, Philippe Froguel5, Norihiro Kato, Prasad Katulanda25, Prasad Katulanda7, M. Ann Kelly13, M. Ann Kelly12, Junbin Liang21, Viswanathan Mohan11, Dharambir K. Sanghera26, James Scott5, Mark Seielstad27, Paul Zimmet28, Paul Elliott5, Yik Ying Teo, Mark I. McCarthy29, Mark I. McCarthy30, Mark I. McCarthy7, John Danesh2, E. Shyong Tai3, John C. Chambers4, John C. Chambers31, John C. Chambers5 
TL;DR: A genome-wide association study of type-2 diabetes in individuals of South Asian ancestry provides additional insight into mechanisms underlying T2D and shows the potential for new discovery from genetic association studies in South Asians.
Abstract: John Chambers and colleagues report a genome-wide association study for type 2 diabetes in individuals of south Asian ancestry. They identify six loci newly associated with type 2 diabetes.

513 citations

Journal ArticleDOI
TL;DR: A broad catalogue of genetic mutations enable data from whole-genome sequencing to be used clinically to predict drug resistance, drug susceptibility, or to identify drug phenotypes that cannot yet be genetically predicted.
Abstract: Summary Background Diagnosing drug-resistance remains an obstacle to the elimination of tuberculosis. Phenotypic drug-susceptibility testing is slow and expensive, and commercial genotypic assays screen only common resistance-determining mutations. We used whole-genome sequencing to characterise common and rare mutations predicting drug resistance, or consistency with susceptibility, for all first-line and second-line drugs for tuberculosis. Methods Between Sept 1, 2010, and Dec 1, 2013, we sequenced a training set of 2099 Mycobacterium tuberculosis genomes. For 23 candidate genes identified from the drug-resistance scientific literature, we algorithmically characterised genetic mutations as not conferring resistance (benign), resistance determinants, or uncharacterised. We then assessed the ability of these characterisations to predict phenotypic drug-susceptibility testing for an independent validation set of 1552 genomes. We sought mutations under similar selection pressure to those characterised as resistance determinants outside candidate genes to account for residual phenotypic resistance. Findings We characterised 120 training-set mutations as resistance determining, and 772 as benign. With these mutations, we could predict 89·2% of the validation-set phenotypes with a mean 92·3% sensitivity (95% CI 90·7–93·7) and 98·4% specificity (98·1–98·7). 10·8% of validation-set phenotypes could not be predicted because uncharacterised mutations were present. With an in-silico comparison, characterised resistance determinants had higher sensitivity than the mutations from three line-probe assays (85·1% vs 81·6%). No additional resistance determinants were identified among mutations under selection pressure in non-candidate genes. Interpretation A broad catalogue of genetic mutations enable data from whole-genome sequencing to be used clinically to predict drug resistance, drug susceptibility, or to identify drug phenotypes that cannot yet be genetically predicted. This approach could be integrated into routine diagnostic workflows, phasing out phenotypic drug-susceptibility testing while reporting drug resistance early. Funding Wellcome Trust, National Institute of Health Research, Medical Research Council, and the European Union.

511 citations

Journal ArticleDOI
TL;DR: A mesenchymal sub-population with stem cell-like characteristics that gives rise to both lineages and, at the same time, acts as a principal component of the hematopoietic niche by promoting competitive repopulation following lethal irradiation is described.

511 citations

Journal ArticleDOI
TL;DR: The genome of the M strain of M. marinum comprises a 6,636,827-bp circular chromosome with 5424 CDS, 10 prophages, and a 23-kb mercury-resistance plasmid as discussed by the authors.
Abstract: Mycobacterium marinum, a ubiquitous pathogen of fish and amphibia, is a near relative of Mycobacterium tuberculosis, the etiologic agent of tuberculosis in humans. The genome of the M strain of M. marinum comprises a 6,636,827-bp circular chromosome with 5424 CDS, 10 prophages, and a 23-kb mercury-resistance plasmid. Prominent features are the very large number of genes (57) encoding polyketide synthases (PKSs) and nonribosomal peptide synthases (NRPSs) and the most extensive repertoire yet reported of the mycobacteria-restricted PE and PPE proteins, and related-ESX secretion systems. Some of the NRPS genes comprise a novel family and seem to have been acquired horizontally. M. marinum is used widely as a model organism to study M. tuberculosis pathogenesis, and genome comparisons confirmed the close genetic relationship between these two species, as they share 3000 orthologs with an average amino acid identity of 85%. Comparisons with the more distantly related Mycobacterium avium subspecies paratuberculosis and Mycobacterium smegmatis reveal how an ancestral generalist mycobacterium evolved into M. tuberculosis and M. marinum. M. tuberculosis has undergone genome downsizing and extensive lateral gene transfer to become a specialized pathogen of humans and other primates without retaining an environmental niche. M. marinum has maintained a large genome so as to retain the capacity for environmental survival while becoming a broad host range pathogen that produces disease strikingly similar to M. tuberculosis. The work described herein provides a foundation for using M. marinum to better understand the determinants of pathogenesis of tuberculosis.

510 citations


Authors

Showing all 4058 results

NameH-indexPapersCitations
Nicholas J. Wareham2121657204896
Gonçalo R. Abecasis179595230323
Panos Deloukas162410154018
Michael R. Stratton161443142586
David W. Johnson1602714140778
Michael John Owen1601110135795
Naveed Sattar1551326116368
Robert E. W. Hancock15277588481
Julian Parkhill149759104736
Nilesh J. Samani149779113545
Michael Conlon O'Donovan142736118857
Jian Yang1421818111166
Christof Koch141712105221
Andrew G. Clark140823123333
Stylianos E. Antonarakis13874693605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202270
2021836
2020810
2019854
2018764