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Institution

Wellcome Trust Centre for Human Genetics

FacilityOxford, United Kingdom
About: Wellcome Trust Centre for Human Genetics is a facility organization based out in Oxford, United Kingdom. It is known for research contribution in the topics: Population & Genome-wide association study. The organization has 2122 authors who have published 4269 publications receiving 433899 citations.


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Journal ArticleDOI
28 Feb 2013-Nature
TL;DR: Evidence for impaired replication fork progression and increased DNA replication stress in CIN+ colorectal cancer (CRC) cells relative to CIN− CRC cells is found, with structural chromosome abnormalities precipitating chromosome missegregation in mitosis.
Abstract: Cancer chromosomal instability (CIN) results in an increased rate of change of chromosome number and structure and generates intratumour heterogeneity. CIN is observed in most solid tumours and is associated with both poor prognosis and drug resistance. Understanding a mechanistic basis for CIN is therefore paramount. Here we find evidence for impaired replication fork progression and increased DNA replication stress in CIN(+) colorectal cancer (CRC) cells relative to CIN(-) CRC cells, with structural chromosome abnormalities precipitating chromosome missegregation in mitosis. We identify three new CIN-suppressor genes (PIGN (also known as MCD4), MEX3C (RKHD2) and ZNF516 (KIAA0222)) encoded on chromosome 18q that are subject to frequent copy number loss in CIN(+) CRC. Chromosome 18q loss was temporally associated with aneuploidy onset at the adenoma-carcinoma transition. CIN-suppressor gene silencing leads to DNA replication stress, structural chromosome abnormalities and chromosome missegregation. Supplementing cells with nucleosides, to alleviate replication-associated damage, reduces the frequency of chromosome segregation errors after CIN-suppressor gene silencing, and attenuates segregation errors and DNA damage in CIN(+) cells. These data implicate a central role for replication stress in the generation of structural and numerical CIN, which may inform new therapeutic approaches to limit intratumour heterogeneity.

724 citations

Journal ArticleDOI
16 Feb 2006-Nature
TL;DR: The finding that gene copy number polymorphism predisposes to immunologically mediated renal disease in two mammalian species provides direct evidence for the importance of genome plasticity in the evolution of genetically complex phenotypes, including susceptibility to common human disease.
Abstract: Glomerulonephritis is a kidney inflammation that occurs alone or as part of other conditions, including the autoimmune disorder lupus. A novel mutation has now been identified as the cause of the disease in a rat model. The mutation affects the Fcgr3 immunoglobulin receptor, but it does not produce a defective receptor. Rather, too many copies of an otherwise normal gene are produced. A similar gene-number defect was then detected in a subset of human systemic lupus erythematosus patients with a kidney inflammation. In these patients an equivalent receptor gene, FCGR3B, is present at a low copy number. Disease seems to result when copy number is altered in either direction, so receptor levels must need to be very finely tuned. Identification of the genes underlying complex phenotypes and the definition of the evolutionary forces that have shaped eukaryotic genomes are among the current challenges in molecular genetics1,2,3. Variation in gene copy number is increasingly recognized as a source of inter-individual differences in genome sequence and has been proposed as a driving force for genome evolution and phenotypic variation3,4,5. Here we show that copy number variation of the orthologous rat and human Fcgr3 genes is a determinant of susceptibility to immunologically mediated glomerulonephritis. Positional cloning identified loss of the newly described, rat-specific Fcgr3 paralogue, Fcgr3-related sequence (Fcgr3-rs), as a determinant of macrophage overactivity and glomerulonephritis in Wistar Kyoto rats. In humans, low copy number of FCGR3B, an orthologue of rat Fcgr3, was associated with glomerulonephritis in the autoimmune disease systemic lupus erythematosus. The finding that gene copy number polymorphism predisposes to immunologically mediated renal disease in two mammalian species provides direct evidence for the importance of genome plasticity in the evolution of genetically complex phenotypes, including susceptibility to common human disease.

724 citations

Journal ArticleDOI
Inga Prokopenko1, Claudia Langenberg2, Jose C. Florez3, Jose C. Florez4, Richa Saxena4, Richa Saxena3, Nicole Soranzo5, Nicole Soranzo6, Gudmar Thorleifsson7, Ruth J. F. Loos2, Alisa K. Manning8, Anne U. Jackson9, Yurii S. Aulchenko10, Simon C. Potter6, Michael R. Erdos11, Serena Sanna, Jouke-Jan Hottenga12, Eleanor Wheeler6, Marika Kaakinen13, Valeriya Lyssenko14, Wei-Min Chen15, Kourosh R. Ahmadi5, Jacques S. Beckmann16, Jacques S. Beckmann17, Richard N. Bergman18, Murielle Bochud17, Lori L. Bonnycastle11, Thomas A. Buchanan18, Antonio Cao, Alessandra C. L. Cervino5, Lachlan J. M. Coin19, Francis S. Collins11, Laura Crisponi, Eco J. C. de Geus12, Abbas Dehghan10, Panos Deloukas6, Alex S. F. Doney20, Paul Elliott19, Nelson B. Freimer21, Vesela Gateva9, Christian Herder22, Albert Hofman10, Thomas Edward Hughes23, Sarah E. Hunt6, Thomas Illig, Michael Inouye6, Bo Isomaa, Toby Johnson16, Toby Johnson24, Toby Johnson17, Augustine Kong7, Maria Krestyaninova25, Johanna Kuusisto26, Markku Laakso26, Noha Lim27, Ulf Lindblad14, Cecilia M. Lindgren1, O. T. McCann6, Karen L. Mohlke28, Andrew D. Morris20, Silvia Naitza, Marco Orru, Colin N. A. Palmer20, Anneli Pouta29, Joshua C. Randall1, Wolfgang Rathmann22, Jouko Saramies, Paul Scheet9, Laura J. Scott9, Angelo Scuteri11, Stephen J. Sharp2, Eric J.G. Sijbrands10, Jan H. Smit30, Kijoung Song27, Valgerdur Steinthorsdottir7, Heather M. Stringham9, Tiinamaija Tuomi31, Jaakko Tuomilehto, André G. Uitterlinden10, Benjamin F. Voight3, Benjamin F. Voight4, Dawn M. Waterworth27, H-Erich Wichmann32, Gonneke Willemsen12, Jacqueline C.M. Witteman10, Xin Yuan27, Jing Hua Zhao2, Eleftheria Zeggini1, David Schlessinger11, Manjinder S. Sandhu33, Manjinder S. Sandhu2, Dorret I. Boomsma12, Manuela Uda, Tim D. Spector5, Brenda W.J.H. Penninx34, Brenda W.J.H. Penninx35, Brenda W.J.H. Penninx33, David Altshuler3, David Altshuler4, Peter Vollenweider17, Marjo-Riitta Järvelin19, Marjo-Riitta Järvelin13, Edward G. Lakatta11, Gérard Waeber17, Caroline S. Fox11, Caroline S. Fox36, Leena Peltonen37, Leena Peltonen6, Leif Groop14, Vincent Mooser27, L. Adrienne Cupples8, Unnur Thorsteinsdottir38, Unnur Thorsteinsdottir7, Michael Boehnke9, Inês Barroso6, Cornelia M. van Duijn10, Josée Dupuis8, Richard M. Watanabe18, Kari Stefansson7, Kari Stefansson38, Mark I. McCarthy1, Mark I. McCarthy39, Nicholas J. Wareham2, James B. Meigs3, Gonçalo R. Abecasis9 
TL;DR: Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten genome-wide association scans, and previous associations of fasting glucose with variants at the G6PC2 and GCK loci are confirmed.
Abstract: To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.

716 citations

Journal ArticleDOI
Liisa M. Pelttari1, Sofia Khan1, Mikko Vuorela2, Johanna I. Kiiski1, Sara Vilske1, Viivi Nevanlinna1, Salla Ranta1, Johanna Schleutker3, Johanna Schleutker4, Johanna Schleutker5, Robert Winqvist2, Anne Kallioniemi4, Thilo Dörk6, Natalia Bogdanova6, Jonine Figueroa, Paul D.P. Pharoah7, Marjanka K. Schmidt8, Alison M. Dunning7, Montserrat Garcia-Closas9, Manjeet K. Bolla7, Joe Dennis7, Kyriaki Michailidou7, Qin Wang7, John L. Hopper10, Melissa C. Southey10, Efraim H. Rosenberg8, Peter A. Fasching11, Peter A. Fasching12, Matthias W. Beckmann11, Julian Peto13, Isabel dos-Santos-Silva13, Elinor J. Sawyer14, Ian Tomlinson15, Barbara Burwinkel16, Barbara Burwinkel17, Harald Surowy16, Harald Surowy17, Pascal Guénel18, Thérèse Truong18, Stig E. Bojesen19, Stig E. Bojesen20, Børge G. Nordestgaard20, Børge G. Nordestgaard19, Javier Benitez, Anna González-Neira, Susan L. Neuhausen21, Hoda Anton-Culver22, Hermann Brenner17, Volker Arndt17, Alfons Meindl23, Rita K. Schmutzler24, Hiltrud Brauch25, Hiltrud Brauch26, Hiltrud Brauch17, Thomas Brüning27, Annika Lindblom28, Sara Margolin28, Arto Mannermaa29, Jaana M. Hartikainen29, Georgia Chenevix-Trench30, kConFab10, kConFab30, Aocs Investigators31, Laurien Van Dyck31, Hilde Janssen32, Hilde Janssen17, Jenny Chang-Claude17, Anja Rudolph, Paolo Radice, Paolo Peterlongo33, Emily Hallberg33, Janet E. Olson10, Janet E. Olson34, Graham G. Giles10, Graham G. Giles34, Roger L. Milne35, Christopher A. Haiman35, Fredrick Schumacher36, Jacques Simard36, Martine Dumont37, Martine Dumont38, Vessela N. Kristensen37, Vessela N. Kristensen38, Anne Lise Børresen-Dale39, Wei Zheng39, Alicia Beeghly-Fadiel40, Mervi Grip41, Mervi Grip42, Irene L. Andrulis41, Gord Glendon43, Peter Devilee44, Caroline Seynaeve44, Maartje J. Hooning45, Margriet Collée46, Angela Cox46, Simon S. Cross7, Mitul Shah7, Robert Luben17, Ute Hamann47, Ute Hamann17, Diana Torres48, Anna Jakubowska48, Jan Lubinski33, Fergus J. Couch, Drakoulis Yannoukakos9, Nick Orr9, Anthony J. Swerdlow28, Hatef Darabi28, Jingmei Li28, Kamila Czene28, Per Hall7, Douglas F. Easton1, Johanna Mattson1, Carl Blomqvist1, Kristiina Aittomäki1, Heli Nevanlinna 
05 May 2016-PLOS ONE
TL;DR: It is suggested that loss-of-function mutations in RAD 51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.
Abstract: Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.

715 citations

Journal ArticleDOI
Veryan Codd1, Christopher P. Nelson1, Eva Albrecht, Massimo Mangino2, Joris Deelen3, Jessica L. Buxton4, Jouke-Jan Hottenga5, Krista Fischer6, Tõnu Esko6, Ida Surakka7, Linda Broer, Dale R. Nyholt8, Irene Mateo Leach9, Perttu Salo, Sara Hägg10, Mary K. Matthews1, Jutta Palmen11, Giuseppe Danilo Norata, Paul F. O'Reilly4, Danish Saleheen12, Najaf Amin13, Anthony J. Balmforth14, Marian Beekman3, Rudolf A. de Boer9, Stefan Böhringer3, Peter S. Braund1, Paul Burton1, Anton J. M. de Craen3, Matthew Denniff1, Yanbin Dong15, Konstantinos Douroudis6, Elena Dubinina1, Johan G. Eriksson, Katia Garlaschelli, Dehuang Guo15, Anna-Liisa Hartikainen16, Anjali K. Henders8, Jeanine J. Houwing-Duistermaat3, Laura Kananen7, Lennart C. Karssen13, Johannes Kettunen7, Norman Klopp, Vasiliki Lagou17, Elisabeth M. van Leeuwen13, Pamela A. F. Madden18, Reedik Mägi6, Patrik K. E. Magnusson10, Satu Männistö19, Satu Männistö20, Mark I. McCarthy17, Mark I. McCarthy21, Mark I. McCarthy22, Sarah E. Medland8, Evelin Mihailov6, Grant W. Montgomery8, Ben A. Oostra13, Aarno Palotie, Annette Peters, Helen Pollard1, Anneli Pouta19, Anneli Pouta16, Inga Prokopenko17, Samuli Ripatti, Veikko Salomaa19, Veikko Salomaa20, H. Eka D. Suchiman3, Ana M. Valdes2, Niek Verweij9, Ana Viñuela2, Xiaoling Wang23, Xiaoling Wang24, H-Erich Wichmann25, Elisabeth Widen7, Gonneke Willemsen5, Margaret J. Wright8, Kai Xia26, Xiangjun Xiao27, Dirk J. van Veldhuisen9, Alberico L. Catapano28, Martin D. Tobin1, Alistair S. Hall14, Alexandra I. F. Blakemore4, Wiek H. van Gilst9, Haidong Zhu23, Haidong Zhu24, Jeanette Erdmann, Muredach P. Reilly29, Sekar Kathiresan30, Sekar Kathiresan31, Heribert Schunkert, Philippa J. Talmud11, Nancy L. Pedersen10, Markus Perola19, Markus Perola6, Markus Perola7, Willem H. Ouwehand, Jaakko Kaprio, Nicholas G. Martin8, Cornelia M. van Duijn, Iiris Hovatta7, Iiris Hovatta19, Christian Gieger11, Andres Metspalu6, Dorret I. Boomsma5, Marjo-Riitta Järvelin, P. Eline Slagboom3, John R Thompson1, Tim D. Spector2, Pim van der Harst1, Nilesh J. Samani32, Nilesh J. Samani1 
TL;DR: In this paper, a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals was carried out to identify seven loci, including five new loci associated with mean leukocyte telomere length (LTL) (P < 5 × 10−8).
Abstract: Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci, including five new loci, associated with mean LTL (P < 5 × 10(-8)). Five of the loci contain candidate genes (TERC, TERT, NAF1, OBFC1 and RTEL1) that are known to be involved in telomere biology. Lead SNPs at two loci (TERC and TERT) associate with several cancers and other diseases, including idiopathic pulmonary fibrosis. Moreover, a genetic risk score analysis combining lead variants at all 7 loci in 22,233 coronary artery disease cases and 64,762 controls showed an association of the alleles associated with shorter LTL with increased risk of coronary artery disease (21% (95% confidence interval, 5-35%) per standard deviation in LTL, P = 0.014). Our findings support a causal role of telomere-length variation in some age-related diseases.

703 citations


Authors

Showing all 2127 results

NameH-indexPapersCitations
Mark I. McCarthy2001028187898
John P. A. Ioannidis1851311193612
Gonçalo R. Abecasis179595230323
Simon I. Hay165557153307
Robert Plomin151110488588
Ashok Kumar1515654164086
Julian Parkhill149759104736
James F. Wilson146677101883
Jeremy K. Nicholson14177380275
Hugh Watkins12852491317
Erik Ingelsson12453885407
Claudia Langenberg12445267326
Adrian V. S. Hill12258964613
John A. Todd12151567413
Elaine Holmes11956058975
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
202183
202074
2019134
2018182
2017323