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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
Amand F. Schmidt1, Daniel I. Swerdlow1, Daniel I. Swerdlow2, Michael V. Holmes3, Michael V. Holmes4, Riyaz S. Patel5, Riyaz S. Patel1, Zammy Fairhurst-Hunter6, Donald M. Lyall7, Fernando Pires Hartwig8, Bernardo L. Horta8, Elina Hyppönen9, Elina Hyppönen10, Christine Power10, Max Moldovan11, Max Moldovan9, Erik P A Van Iperen, G. Kees Hovingh, Ilja Demuth12, Kristina Norman12, Elisabeth Steinhagen-Thiessen12, Juri Demuth, Lars Bertram2, Lars Bertram13, Tian Liu14, Stefan Coassin15, Johann Willeit15, Stefan Kiechl15, Karin Willeit15, Dan Mason16, John Wright16, Richard W Morris17, Goya Wanamethee1, Peter H. Whincup18, Yoav Ben-Shlomo17, Stela McLachlan19, Jackie F. Price19, Mika Kivimäki1, Catherine Welch1, Adelaida Sanchez-Galvez1, Pedro Marques-Vidal20, Andrew N. Nicolaides2, Andrew N. Nicolaides21, Andrie G. Panayiotou22, N. Charlotte Onland-Moret23, Yvonne T. van der Schouw23, Giuseppe Matullo24, Giovanni Fiorito24, Simonetta Guarrera24, Carlotta Sacerdote25, Nicholas J. Wareham26, Claudia Langenberg26, Robert A. Scott26, Jian'an Luan26, Martin Bobak1, Sofia Malyutina27, Andrzej Pająk28, Ruzena Kubinova, Abdonas Tamosiunas29, Hynek Pikhart1, Lise Lotte N. Husemoen, Niels Grarup30, Oluf Pedersen30, Torben Hansen30, Allan Linneberg30, Kenneth Starup Simonsen, Jackie A. Cooper1, Steve E. Humphries1, Murray H. Brilliant31, Terrie Kitchner31, Hakon Hakonarson32, David Carrell33, Catherine A. McCarty, H. Lester Kirchner, Eric B. Larson33, David R. Crosslin33, Mariza de Andrade34, Dan M. Roden35, Joshua C. Denny35, Cara L. Carty36, Stephen Hancock37, John Attia37, Elizabeth G. Holliday37, Martin O'Donnell38, Salim Yusuf38, Michael Chong38, Guillaume Paré38, Pim van der Harst39, M. Abdullah Said39, Ruben N. Eppinga39, Niek Verweij39, Harold Snieder39, Tim Christen40, Dennis O. Mook-Kanamori40, Stefan Gustafsson41, Lars Lind41, Erik Ingelsson42, Erik Ingelsson43, Erik Ingelsson41, Raha Pazoki44, Oscar H. Franco44, Albert Hofman44, André G. Uitterlinden44, Abbas Dehghan44, Abbas Dehghan2, Alexander Teumer45, Sebastian E. Baumeister45, Sebastian E. Baumeister46, Marcus Dörr45, Markus M. Lerch45, Uwe Völker45, Henry Völzke45, Joey Ward7, Jill P. Pell7, Daniel J. Smith7, Tom W. Meade47, Anke H. Maitland-van der Zee23, Ekaterina V Baranova23, Robin Young48, Ian Ford48, Archie Campbell19, Sandosh Padmanabhan7, Michiel L. Bots23, Diederick E. Grobbee23, Philippe Froguel2, Philippe Froguel49, Dorothée Thuillier49, Beverley Balkau50, Amélie Bonnefond2, Amélie Bonnefond49, Bertrand Cariou51, Melissa C. Smart52, Yanchun Bao52, Meena Kumari52, Anubha Mahajan6, Paul M. Ridker53, Daniel I. Chasman53, Alexander P. Reiner54, Leslie A. Lange55, Marylyn D. Ritchie56, Marylyn D. Ritchie57, Folkert W. Asselbergs, Juan-Pablo Casas1, Brendan J. Keating58, David Preiss3, David Preiss4, Aroon D. Hingorani1, Naveed Sattar7 
University College London1, Imperial College London2, Clinical Trial Service Unit3, University of Oxford4, St Bartholomew's Hospital5, Wellcome Trust Centre for Human Genetics6, University of Glasgow7, Universidade Federal de Pelotas8, University of South Australia9, UCL Institute of Child Health10, European Bioinformatics Institute11, Charité12, University of Lübeck13, Max Planck Society14, Innsbruck Medical University15, Bradford Royal Infirmary16, University of Bristol17, St George's, University of London18, University of Edinburgh19, University of Lausanne20, University of Nicosia21, Cyprus University of Technology22, Utrecht University23, University of Turin24, Cancer Epidemiology Unit25, University of Cambridge26, Russian Academy27, Jagiellonian University28, Lithuanian University of Health Sciences29, University of Copenhagen30, Marshfield Clinic31, Children's Hospital of Philadelphia32, Group Health Research Institute33, Mayo Clinic34, Vanderbilt University35, George Washington University36, University of Newcastle37, Population Health Research Institute38, University Medical Center Groningen39, Leiden University Medical Center40, Uppsala University41, Stanford University42, Science for Life Laboratory43, Erasmus University Medical Center44, Greifswald University Hospital45, University of Regensburg46, University of London47, Robertson Centre for Biostatistics48, university of lille49, French Institute of Health and Medical Research50, University of Nantes51, University of Essex52, Brigham and Women's Hospital53, Fred Hutchinson Cancer Research Center54, University of Colorado Denver55, Pennsylvania State University56, Geisinger Health System57, University of Pennsylvania58
TL;DR: PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes.

296 citations

Journal ArticleDOI
TL;DR: This is the first systematic genomewide linkage scan for loci influencing ADHD in 126 affected sib pairs, using a approximately 10-cM grid of microsatellite markers and indicates that there is unlikely to be a major gene involved in ADHD susceptibility in this sample.
Abstract: Attention deficit/hyperactivity disorder (ADHD) is a common heritable disorder with a childhood onset. Molecular genetic studies of ADHD have previously focused on examining the roles of specific candidate genes, primarily those involved in dopaminergic pathways. We have performed the first systematic genomewide linkage scan for loci influencing ADHD in 126 affected sib pairs, using a ∼10-cM grid of microsatellite markers. Allele-sharing linkage methods enabled us to exclude any loci with a λs of ⩾3 from 96% of the genome and those with a λs of ⩾2.5 from 91%, indicating that there is unlikely to be a major gene involved in ADHD susceptibility in our sample. Under a strict diagnostic scheme we could exclude all screened regions of the X chromosome for a locus-specific λs of ⩾2 in brother-brother pairs, demonstrating that the excess of affected males with ADHD is probably not attributable to a major X-linked effect. Qualitative trait maximum LOD score analyses pointed to a number of chromosomal sites that may contain genetic risk factors of moderate effect. None exceeded genomewide significance thresholds, but LOD scores were >1.5 for regions on 5p12, 10q26, 12q23, and 16p13. Quantitative-trait analysis of ADHD symptom counts implicated a region on 12p13 (maximum LOD 2.6) that also yielded a LOD >1 when qualitative methods were used. A survey of regions containing 36 genes that have been proposed as candidates for ADHD indicated that 29 of these genes, including DRD4 and DAT1, could be excluded for a λs of 2. Only three of the candidates—DRD5, 5HTT, and CALCYON—coincided with sites of positive linkage identified by our screen. Two of the regions highlighted in the present study, 2q24 and 16p13, coincided with the top linkage peaks reported by a recent genome-scan study of autistic sib pairs.

295 citations

Journal ArticleDOI
01 Sep 2010-PLOS ONE
TL;DR: The results establish firmly that a history of infectious mononucleosis significantly increases the risk of multiple sclerosis.
Abstract: Background: Multiple sclerosis (MS) appears to develop in genetically susceptible individuals as a result of environmental exposures. Epstein-Barr virus (EBV) infection is an almost universal finding among individuals with MS. Symptomatic EBV infection as manifested by infectious mononucleosis (IM) has been shown in a previous meta-analysis to be associated with the risk of MS, however a number of much larger studies have since been published.Methods/Principal Findings: We performed a Medline search to identify articles published since the original meta-analysis investigating MS risk following IM. A total of 18 articles were included in this study, including 19390 MS patients and 16007 controls. We calculated the relative risk of MS following IM using a generic inverse variance with random effects model. This showed that the risk of MS was strongly associated with IM (relative risk (RR) 2.17; 95% confidence interval 1.97-2.39; p<10(-54)).Discussion: Our results establish firmly that a history of infectious mononucleosis significantly increases the risk of multiple sclerosis. Future work should focus on the mechanism of this association and interaction with other risk factors.

295 citations

Journal ArticleDOI
Nick Shrine1, Anna L. Guyatt1, A. Mesut Erzurumluoglu1, Victoria E. Jackson1, Victoria E. Jackson2, Victoria E. Jackson3, Brian D. Hobbs4, Carl A. Melbourne1, Chiara Batini1, Katherine A. Fawcett1, Kijoung Song5, Phuwanat Sakornsakolpat4, Phuwanat Sakornsakolpat6, Xingnan Li7, Ruth Boxall8, Nicola F. Reeve1, Ma'en Obeidat9, Jing Hua Zhao10, Matthias Wielscher11, Stefan Weiss12, Katherine A. Kentistou13, James P. Cook14, Benjamin B. Sun10, Jian Zhou, Jennie Hui15, Stefan Karrasch, Medea Imboden16, Sarah E. Harris13, Jonathan Marten13, Stefan Enroth17, Shona M. Kerr13, Ida Surakka18, Vitart13, Terho Lehtimäki19, Richard J. Allen1, Per Bakke20, Terri H. Beaty21, Eugene R. Bleecker7, Yohan Bossé22, Corry-Anke Brandsma23, Zhengming Chen8, James D. Crapo, John Danesh, Dawn L. DeMeo4, Frank Dudbridge1, Ralf Ewert12, Christian Gieger, Amund Gulsvik20, Anna Hansell1, Ke Hao24, Joshua D. Hoffman5, John E. Hokanson25, Georg Homuth12, Peter K. Joshi13, Philippe Joubert22, Claudia Langenberg10, Liming Li26, Kuang Lin8, Lars Lind27, Nicholas Locantore, Jian'an Luan10, Anubha Mahajan28, Joseph C. Maranville29, Alison Catherine Murray30, David C. Nickle29, Richard Packer1, Margaret M. Parker4, Megan L. Paynton1, David J. Porteous13, Dmitry Prokopenko4, Dandi Qiao4, Rajesh Rawal31, Heiko Runz29, Ian Sayers32, Don D. Sin9, Blair H. Smith33, María Soler Artigas34, David Sparrow35, Ruth Tal-Singer, Timmers Prhj, van den Berge M23, John C. Whittaker, Prescott G. Woodruff36, Laura M Yerges Armstrong5, Olga G. Troyanskaya37, Olli T. Raitakari38, Mika Kähönen19, Ozren Polasek39, Ozren Polasek13, Ulf Gyllensten17, Igor Rudan13, Ian J. Deary13, Nicole Probst-Hensch16, Nicole Probst-Hensch40, Holger Schulz, Alan James41, Alan James15, James F. Wilson13, Beate Stubbe12, Eleftheria Zeggini42, Marjo-Riitta Järvelin, Nicholas J. Wareham10, Edwin K. Silverman4, Caroline Hayward13, Andrew P. Morris14, Andrew P. Morris28, Adam S. Butterworth10, Robert A. Scott, Robin G Walters8, Deborah A. Meyers7, Michael H. Cho4, David P. Strachan43, Ian P. Hall32, Tobin32, Louise V. Wain44, Louise V. Wain1 
TL;DR: In this paper, a genome-wide association study in 400,102 individuals of European ancestry was conducted to define 279 lung function signals, 139 of which are new and the combined effect of these variants showed generalizability across smokers and never smokers, and across ancestral groups.
Abstract: Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent populations. Furthermore, the combined effect of these variants showed generalizability across smokers and never smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function-associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD.

295 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