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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
TL;DR: In this paper, a Bayesian approach was used to define credible sets for the T1D-associated SNPs localized to enhancer sequences active in thymus, T and B cells, and CD34(+) stem cells.
Abstract: Genetic studies of type 1 diabetes (T1D) have identified 50 susceptibility regions, finding major pathways contributing to risk, with some loci shared across immune disorders. To make genetic comparisons across autoimmune disorders as informative as possible, a dense genotyping array, the Immunochip, was developed, from which we identified four new T1D-associated regions (P < 5 × 10(-8)). A comparative analysis with 15 immune diseases showed that T1D is more similar genetically to other autoantibody-positive diseases, significantly most similar to juvenile idiopathic arthritis and significantly least similar to ulcerative colitis, and provided support for three additional new T1D risk loci. Using a Bayesian approach, we defined credible sets for the T1D-associated SNPs. The associated SNPs localized to enhancer sequences active in thymus, T and B cells, and CD34(+) stem cells. Enhancer-promoter interactions can now be analyzed in these cell types to identify which particular genes and regulatory sequences are causal.

562 citations

Journal ArticleDOI
TL;DR: A perspective on the Earth BioGenome Project (EBP), a moonshot for biology that aims to sequence, catalog, and characterize the genomes of all of Earth’s eukaryotic biodiversity over a period of 10 years, is presented.
Abstract: Increasing our understanding of Earth’s biodiversity and responsibly stewarding its resources are among the most crucial scientific and social challenges of the new millennium. These challenges require fundamental new knowledge of the organization, evolution, functions, and interactions among millions of the planet’s organisms. Herein, we present a perspective on the Earth BioGenome Project (EBP), a moonshot for biology that aims to sequence, catalog, and characterize the genomes of all of Earth’s eukaryotic biodiversity over a period of 10 years. The outcomes of the EBP will inform a broad range of major issues facing humanity, such as the impact of climate change on biodiversity, the conservation of endangered species and ecosystems, and the preservation and enhancement of ecosystem services. We describe hurdles that the project faces, including data-sharing policies that ensure a permanent, freely available resource for future scientific discovery while respecting access and benefit sharing guidelines of the Nagoya Protocol. We also describe scientific and organizational challenges in executing such an ambitious project, and the structure proposed to achieve the project’s goals. The far-reaching potential benefits of creating an open digital repository of genomic information for life on Earth can be realized only by a coordinated international effort.

560 citations

Journal ArticleDOI
TL;DR: The coding exons of the X chromosome in 208 families with X-linked mental retardation (XLMR) are sequenced, the largest direct screen for constitutional disease-causing mutations thus far reported.
Abstract: Large-scale systematic resequencing has been proposed as the key future strategy for the discovery of rare, disease-causing sequence variants across the spectrum of human complex disease. We have sequenced the coding exons of the X chromosome in 208 families with X-linked mental retardation (XLMR), the largest direct screen for constitutional disease-causing mutations thus far reported. The screen has discovered nine genes implicated in XLMR, including SYP, ZNF711 and CASK reported here, confirming the power of this strategy. The study has, however, also highlighted issues confronting whole-genome sequencing screens, including the observation that loss of function of 1% or more of X-chromosome genes is compatible with apparently normal existence.

558 citations

Journal ArticleDOI
TL;DR: It is found that SHAPEIT2 produces much lower switch error rates in all cohorts compared to other methods, including those designed specifically for isolated populations, and a general strategy for phasing cohorts with any level of implicit or explicit relatedness between individuals is developed.
Abstract: Many existing cohorts contain a range of relatedness between genotyped individuals, either by design or by chance. Haplotype estimation in such cohorts is a central step in many downstream analyses. Using genotypes from six cohorts from isolated populations and two cohorts from non-isolated populations, we have investigated the performance of different phasing methods designed for nominally ‘unrelated’ individuals. We find that SHAPEIT2 produces much lower switch error rates in all cohorts compared to other methods, including those designed specifically for isolated populations. In particular, when large amounts of IBD sharing is present, SHAPEIT2 infers close to perfect haplotypes. Based on these results we have developed a general strategy for phasing cohorts with any level of implicit or explicit relatedness between individuals. First SHAPEIT2 is run ignoring all explicit family information. We then apply a novel HMM method (duoHMM) to combine the SHAPEIT2 haplotypes with any family information to infer the inheritance pattern of each meiosis at all sites across each chromosome. This allows the correction of switch errors, detection of recombination events and genotyping errors. We show that the method detects numbers of recombination events that align very well with expectations based on genetic maps, and that it infers far fewer spurious recombination events than Merlin. The method can also detect genotyping errors and infer recombination events in otherwise uninformative families, such as trios and duos. The detected recombination events can be used in association scans for recombination phenotypes. The method provides a simple and unified approach to haplotype estimation, that will be of interest to researchers in the fields of human, animal and plant genetics.

555 citations

Journal ArticleDOI
Devin P. Locke1, LaDeana W. Hillier1, Wesley C. Warren1, Kim C. Worley2, Lynne V. Nazareth2, Donna M. Muzny2, Shiaw-Pyng Yang1, Zhengyuan Wang1, Asif T. Chinwalla1, Patrick Minx1, Makedonka Mitreva1, Lisa Cook1, Kim D. Delehaunty1, Catrina Fronick1, Heather Schmidt1, Lucinda Fulton1, Robert S. Fulton1, Joanne O. Nelson1, Vincent Magrini1, Craig Pohl1, Tina Graves1, Chris Markovic1, Andy Cree2, Huyen Dinh2, Jennifer Hume2, Christie Kovar2, Gerald R. Fowler2, Gerton Lunter3, Gerton Lunter4, Stephen Meader4, Andreas Heger4, Chris P. Ponting4, Tomas Marques-Bonet5, Tomas Marques-Bonet6, Can Alkan5, Lin Chen5, Ze Cheng5, Jeffrey M. Kidd5, Evan E. Eichler5, Evan E. Eichler7, Simon D. M. White8, Stephen M. J. Searle8, Albert J. Vilella9, Yuan Chen9, Paul Flicek9, Jian Ma10, Jian Ma11, Brian J. Raney11, Bernard B. Suh11, Richard Burhans12, Javier Herrero9, David Haussler11, Rui Faria13, Rui Faria6, Olga Fernando14, Olga Fernando6, Fleur Darré6, Domènec Farré6, Elodie Gazave6, Meritxell Oliva6, Arcadi Navarro6, Roberta Roberto15, Oronzo Capozzi15, Nicoletta Archidiacono15, Giuliano Della Valle16, Stefania Purgato16, Mariano Rocchi15, Miriam K. Konkel17, Jerilyn A. Walker17, Brygg Ullmer17, Mark A. Batzer17, Arian F.A. Smit18, Robert Hubley18, Claudio Casola19, Daniel R. Schrider19, Matthew W. Hahn19, Víctor Quesada20, Xose S. Puente20, Gonzalo R. Ordóñez20, Carlos López-Otín20, Tomas Vinar21, Brona Brejova21, Aakrosh Ratan12, Robert S. Harris12, Webb Miller12, Carolin Kosiol, Heather A. Lawson1, Vikas Taliwal22, André L. Martins22, Adam Siepel22, Arindam RoyChoudhury23, Xin Ma22, Jeremiah D. Degenhardt22, Carlos Bustamante24, Ryan N. Gutenkunst25, Thomas Mailund26, Julien Y. Dutheil26, Asger Hobolth26, Mikkel H. Schierup26, Oliver A. Ryder, Yuko Yoshinaga27, Pieter J. de Jong27, George M. Weinstock1, Jeffrey Rogers2, Elaine R. Mardis1, Richard A. Gibbs2, Richard K. Wilson1 
27 Jan 2011-Nature
TL;DR: The orang-utan species, Pongo abelii and Pongo pygmaeus, are the most phylogenetically distant great apes from humans, thereby providing an informative perspective on hominid evolution and a primate polymorphic neocentromere, found in both Pongo species are described.
Abstract: 'Orang-utan' is derived from a Malay term meaning 'man of the forest' and aptly describes the southeast Asian great apes native to Sumatra and Borneo. The orang-utan species, Pongo abelii (Sumatran) and Pongo pygmaeus (Bornean), are the most phylogenetically distant great apes from humans, thereby providing an informative perspective on hominid evolution. Here we present a Sumatran orang-utan draft genome assembly and short read sequence data from five Sumatran and five Bornean orang-utan genomes. Our analyses reveal that, compared to other primates, the orang-utan genome has many unique features. Structural evolution of the orang-utan genome has proceeded much more slowly than other great apes, evidenced by fewer rearrangements, less segmental duplication, a lower rate of gene family turnover and surprisingly quiescent Alu repeats, which have played a major role in restructuring other primate genomes. We also describe a primate polymorphic neocentromere, found in both Pongo species, emphasizing the gradual evolution of orang-utan genome structure. Orang-utans have extremely low energy usage for a eutherian mammal, far lower than their hominid relatives. Adding their genome to the repertoire of sequenced primates illuminates new signals of positive selection in several pathways including glycolipid metabolism. From the population perspective, both Pongo species are deeply diverse; however, Sumatran individuals possess greater diversity than their Bornean counterparts, and more species-specific variation. Our estimate of Bornean/Sumatran speciation time, 400,000 years ago, is more recent than most previous studies and underscores the complexity of the orang-utan speciation process. Despite a smaller modern census population size, the Sumatran effective population size (N(e)) expanded exponentially relative to the ancestral N(e) after the split, while Bornean N(e) declined over the same period. Overall, the resources and analyses presented here offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts.

555 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