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Institution

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
Dragana Vuckovic1, Erik L. Bao2, Parsa Akbari1, Caleb A. Lareau2, Abdou Mousas3, Tao Jiang1, Ming-Huei Chen, Laura M. Raffield4, Manuel Tardaguila5, Jennifer E. Huffman6, Scott C. Ritchie1, Karyn Megy1, Hannes Ponstingl5, Christopher J. Penkett1, Patrick K. Albers5, Emilie M. Wigdor5, Saori Sakaue7, Arden Moscati8, Regina Manansala9, Ken Sin Lo3, Huijun Qian4, Masato Akiyama10, Traci M. Bartz11, Yoav Ben-Shlomo12, Andrew D Beswick12, Jette Bork-Jensen13, Erwin P. Bottinger8, Jennifer A. Brody11, Frank J. A. van Rooij14, Kumaraswamy Naidu Chitrala15, Peter W.F. Wilson16, Hélène Choquet17, John Danesh, Emanuele Di Angelantonio, Niki Dimou18, Jingzhong Ding19, Paul Elliott20, Tõnu Esko21, Michele K. Evans15, Stephan B. Felix22, James S. Floyd11, Linda Broer14, Niels Grarup13, Michael H. Guo23, Qi Guo24, Andreas Greinacher22, Jeffrey Haessler25, Torben Hansen13, J. M. M. Howson1, Wei Huang26, Eric Jorgenson17, Tim Kacprowski27, Mika Kähönen28, Yoichiro Kamatani29, Masahiro Kanai2, Savita Karthikeyan24, Fotios Koskeridis30, Leslie A. Lange31, Terho Lehtimäki, Allan Linneberg13, Yongmei Liu32, Leo-Pekka Lyytikäinen, Ani Manichaikul33, Koichi Matsuda29, Karen L. Mohlke4, Nina Mononen, Yoshinori Murakami29, Girish N. Nadkarni8, Kjell Nikus28, Nathan Pankratz34, Oluf Pedersen13, Michael Preuss8, Bruce M. Psaty11, Olli T. Raitakari35, Stephen S. Rich33, Benjamin Rodriguez, Jonathan D. Rosen4, Jerome I. Rotter36, Petra Schubert6, Cassandra N. Spracklen4, Praveen Surendran5, Hua Tang37, Jean-Claude Tardif3, Mohsen Ghanbari38, Uwe Völker22, Henry Völzke22, Nicholas A. Watkins39, Stefan Weiss22, VA Million Veteran Program5, Na Cai5, Kousik Kundu5, Stephen B. Watt5, Klaudia Walter5, Alan B. Zonderman15, Kelly Cho40, Yun Li4, Ruth J. F. Loos8, Julian C. Knight41, Michel Georges42, Oliver Stegle43, Evangelos Evangelou20, Yukinori Okada7, David J. Roberts44, Michael Inouye, Andrew D. Johnson, Paul L. Auer9, William J. Astle1, Alexander P. Reiner11, Adam S. Butterworth, Willem H. Ouwehand1, Guillaume Lettre3, Vijay G. Sankaran21, Vijay G. Sankaran2, Nicole Soranzo 
03 Sep 2020-Cell
TL;DR: The results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

284 citations

Journal ArticleDOI
TL;DR: Polygenic predictive modeling showed significantly increased genetic loading among 1,364 cases with moderate to severe endometriosis and rs12700667, located in an intergenic region upstream of the plausible candidate genes NFE2L3 and HOXA10, was the strongest association signal.
Abstract: Krina Zondervan and colleagues report a genome-wide association study for endometriosis. The authors identify a susceptibility locus on chromosome 7p15.

284 citations

Journal ArticleDOI
TL;DR: Panaroo is introduced, a graph-based pangenome clustering tool that is able to account for many of the sources of error introduced during the annotation of prokaryotic genome assemblies.
Abstract: Population-level comparisons of prokaryotic genomes must take into account the substantial differences in gene content resulting from horizontal gene transfer, gene duplication and gene loss. However, the automated annotation of prokaryotic genomes is imperfect, and errors due to fragmented assemblies, contamination, diverse gene families and mis-assemblies accumulate over the population, leading to profound consequences when analysing the set of all genes found in a species. Here, we introduce Panaroo, a graph-based pangenome clustering tool that is able to account for many of the sources of error introduced during the annotation of prokaryotic genome assemblies. Panaroo is available at https://github.com/gtonkinhill/panaroo .

284 citations

Journal ArticleDOI
Vincent Plagnol1, Mike A. Nalls2, Jose Bras1, Dena G. Hernandez2, Dena G. Hernandez1, M. Sharma3, Una-Marie Sheerin1, Mohamad Saad3, Javier Simón-Sánchez, Claudia Schulte, Suzanne Lesage4, Suzanne Lesage3, Sigurlaug Sveinbjörnsdóttir5, Philippe Amouyel6, Philippe Amouyel3, S. Arepalli1, Roger A. Barker7, C. Bellinguez8, Yoav Ben-Shlomo9, Henk W. Berendse10, Daniela Berg, Kailash P. Bhatia1, R. M. A. de Bie11, Alessandro Biffi12, Alessandro Biffi13, B.R. Bloem14, Zoltán Bochdanovits, Michael Bonin, Knut Brockmann, J. Brooks1, David J. Burn15, Gavin Charlesworth1, Honglei Chen, Patrick F. Chinnery15, Sean Chong2, Carl E Clarke16, Carl E Clarke17, Mark R. Cookson2, J. M. Cooper1, Jean-Christophe Corvol, Carl Counsell18, P. Damier, J. F. Dartigues3, Panagiotis Deloukas19, Günther Deuschl20, David T. Dexter21, K.D. van Dijk, Allissa Dillman2, F. Durif, Alexandra Durr, Sarah Edkins19, Jonathan R. Evans7, Thomas Foltynie, Colin Freeman8, Jianjun Gao, M. Gardner1, J. R. Gibbs1, J. R. Gibbs2, A. Goate22, Emma Gray19, Rita Guerreiro1, O. Gustafsson23, Clare Elizabeth Harris18, Garrett Hellenthal8, J.J. van Hilten24, Albert Hofman25, Albert R. Hollenbeck, Janice L. Holton1, Michele T.M. Hu, X. Huang26, Heiko Huber, Gavin Hudson15, Sarah E. Hunt19, J. Huttenlocher3, Thomas Illig, Palmi V. Jonsson, Cordelia Langford7, Andrew J. Lees1, Peter Lichtner, Patricia Limousin1, Grisel Lopez2, Delia Lorenz20, Alisdair McNeill1, C. Moorby16, Matthew Moore2, Huw R. Morris27, Karen E. Morrison17, Karen E. Morrison16, Ese E. Mudanohwo1, Sean S. O'Sullivan1, J. P. Pearson27, R. Pearson8, Joel S. Perlmutter22, H. Petursson23, Matti Pirinen8, Pierre Pollak, Bart Post14, Simon C. Potter19, Bernard Ravina28, Tamas Revesz1, O. Riess, Fernando Rivadeneira25, Patrizia Rizzu, Mina Ryten1, Stephen Sawcer7, Peter Heutink, Nicholas W. Wood1 
TL;DR: Using a dataset of post-mortem brain samples assayed for gene expression and methylation, methylation and expression changes associated with PD risk variants in PARK16/1q32, GPNMB/7p15, and STX1B/16p11 loci are identified, suggesting potential molecular mechanisms and candidate genes at these risk loci.
Abstract: A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study focused on the set of loci that passed genome-wide significance in the first stage GWA scan. However, the second stage genotyping array, the ImmunoChip, included a larger set of 1,920 SNPs selected on the basis of the GWA analysis. Here, we analyzed this set of 1,920 SNPs, and we identified five additional PD risk loci (combined p<5x10(-10), PARK16/1q32, STX1B/16p11, FGF20/8p22, STBD1/4q21, and GPNMB/7p15). Two of these five loci have been suggested by previous association studies (PARK16/1q32, FGF20/8p22), and this study provides further support for these findings. Using a dataset of post-mortem brain samples assayed for gene expression (n = 399) and methylation (n = 292), we identified methylation and expression changes associated with PD risk variants in PARK16/1q32, GPNMB/7p15, and STX1B/16p11 loci, hence suggesting potential molecular mechanisms and candidate genes at these risk loci.

283 citations

Journal ArticleDOI
TL;DR: Genome-wide genotyping of Finnish, Dutch and Japanese cohorts and replication studies in the Japanese cohort identified common SNPs on chromosomes 2q, 8q and 9p that show significant association with intracranial aneurysm with odds ratios 1.24–1.36.
Abstract: Stroke is the world's third leading cause of death. One cause of stroke, intracranial aneurysm, affects approximately 2% of the population and accounts for 500,000 hemorrhagic strokes annually in mid-life (median age 50), most often resulting in death or severe neurological impairment. The pathogenesis of intracranial aneurysm is unknown, and because catastrophic hemorrhage is commonly the first sign of disease, early identification is essential. We carried out a multistage genome-wide association study (GWAS) of Finnish, Dutch and Japanese cohorts including over 2,100 intracranial aneurysm cases and 8,000 controls. Genome-wide genotyping of the European cohorts and replication studies in the Japanese cohort identified common SNPs on chromosomes 2q, 8q and 9p that show significant association with intracranial aneurysm with odds ratios 1.24-1.36. The loci on 2q and 8q are new, whereas the 9p locus was previously found to be associated with arterial diseases, including intracranial aneurysm. Associated SNPs on 8q likely act via SOX17, which is required for formation and maintenance of endothelial cells, suggesting a role in development and repair of the vasculature; CDKN2A at 9p may have a similar role. These findings have implications for the pathophysiology, diagnosis and therapy of intracranial aneurysm.

283 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