Institution
Wellcome Trust Sanger Institute
Nonprofit•Cambridge, 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.
Topics: Population, Genome, Gene, Genome-wide association study, Genomics
Papers published on a yearly basis
Papers
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TL;DR: A survey of RNA editing in human brain by comparing sequences of clones from a human brain cDNA library to the reference human genome sequence and to genomic DNA from the same individual strongly supports the idea that formation of intramolecular double-stranded RNA with an inverted copy underlies most A-->I editing.
Abstract: We have conducted a survey of RNA editing in human brain by comparing sequences of clones from a human brain cDNA library to the reference human genome sequence and to genomic DNA from the same individual. In the RNA sample from which the library was constructed, approximately 1:2000 nucleotides were edited out of >3 Mb surveyed. All edits were adenosine to inosine (A-->I) and were predominantly in intronic and in intergenic RNAs. No edits were found in translated exons and few in untranslated exons. Most edits were in high-copy-number repeats, usually Alus. Analysis of the genome in the vicinity of edited sequences strongly supports the idea that formation of intramolecular double-stranded RNA with an inverted copy underlies most A-->I editing. The likelihood of editing is increased by the presence of two inverted copies of a sequence within the same intron, proximity of the two sequences to each other (preferably within 2 kb), and by a high density of inverted copies in the vicinity. Editing exhibits sequence preferences and is less likely at an adenosine 3' to a guanosine and more likely at an adenosine 5' to a guanosine. Simulation by BLAST alignment of the double-stranded RNA molecules that underlie known edits indicates that there is a greater likelihood of A-->I editing at A:C mismatches than editing at other mismatches or at A:U matches. However, because A:U matches in double-stranded RNA are more common than all mismatches, overall the likely effect of editing is to increase the number of mismatches in double-stranded RNA.
287 citations
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TL;DR: The mechanisms contributing to adipose tissue (AT) plasticity and function are summarized including characteristics and cellular complexity of the various adipose depots and recent insights into AT origins, identification of adipose precursors, pathophysiological regulation of adipogenesis and its relation to WAT/BAT expandability in obesity and its associated comorbidities are discussed.
Abstract: White adipose tissue (WAT) has key metabolic and endocrine functions and plays a role in regulating energy homeostasis and insulin sensitivity. WAT is characterised by its capacity to adapt and expand in response to surplus energy through processes of adipocyte hypertrophy and/or recruitment and proliferation of precursor cells in combination with vascular and extracellular matrix remodelling. However, in the context of sustained obesity, WAT undergoes fibro-inflammation, which compromises its functionality, contributing to increased risk of type 2 diabetes and cardiovascular diseases. Conversely, brown adipose tissue (BAT) and browning of WAT represent potential therapeutic approaches, since dysfunctional white adipocyte-induced lipid overspill can be halted by BAT/browning-mediated oxidative anti-lipotoxic effects. Better understanding of the cellular and molecular pathophysiological mechanisms regulating adipocyte size, number and depot-dependent expansion has become a focus of interest over recent decades. Here, we summarise the mechanisms contributing to adipose tissue (AT) plasticity and function including characteristics and cellular complexity of the various adipose depots and we discuss recent insights into AT origins, identification of adipose precursors, pathophysiological regulation of adipogenesis and its relation to WAT/BAT expandability in obesity and its associated comorbidities.
287 citations
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University of Oxford1, University of Miami2, University of Cambridge3, Wellcome Trust Sanger Institute4, Brigham and Women's Hospital5, Karolinska Institutet6, University of California, San Francisco7, University of Hamburg8, University of Sydney9, Technische Universität München10, Oslo University Hospital11, Harvard University12, University of Eastern Piedmont13, Katholieke Universiteit Leuven14, Pierre-and-Marie-Curie University15, University of Mainz16, Royal Children's Hospital17, Copenhagen University Hospital18, University of Helsinki19, University of Copenhagen20, University of Oslo21, Menzies Research Institute22, Stanford University23, Vanderbilt University Medical Center24, Uppsala University25
TL;DR: A high-resolution map of HLA genetic risk is built and evidence for interactions involving classical HLA alleles and non-HLA risk-associated variants is found, estimating a minimal effect of polygenic epistasis in modulating major risk alleles.
Abstract: Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.
287 citations
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TL;DR: Mammalian genomes contain highly conserved sequences that are not functionally transcribed, and evolutionary analysis strongly supports their functional conservation, although their potentially diverse, functional attributes remain unknown.
Abstract: Mammalian genomes contain highly conserved sequences that are not functionally transcribed. These sequences are single copy and comprise approximately 1-2% of the human genome. Evolutionary analysis strongly supports their functional conservation, although their potentially diverse, functional attributes remain unknown. It is likely that genomic variation in conserved non-genic sequences is associated with phenotypic variability and human disorders. So how might their function and contribution to human disorders be examined?
287 citations
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Max Planck Society1, Imperial College London2, University of Cambridge3, Pierre-and-Marie-Curie University4, Max Delbrück Center for Molecular Medicine5, Charité6, University of California, San Francisco7, University of Lübeck8, University of Regensburg9, Wellcome Trust Sanger Institute10, University of Leicester11, University of Mainz12, Academy of Sciences of the Czech Republic13, National Institutes of Health14
TL;DR: The use of integrated genome-wide approaches across seven rat tissues to identify gene networks and the loci underlying their regulation implicate IRF7 network genes and their regulatory locus in the pathogenesis of T1D.
Abstract: Combined analyses of gene networks and DNA sequence variation can provide new insights into the aetiology of common diseases that may not be apparent from genome-wide association studies alone. Recent advances in rat genomics are facilitating systems-genetics approaches. Here we report the use of integrated genome-wide approaches across seven rat tissues to identify gene networks and the loci underlying their regulation. We defined an interferon regulatory factor 7 (IRF7)-driven inflammatory network (IDIN) enriched for viral response genes, which represents a molecular biomarker for macrophages and which was regulated in multiple tissues by a locus on rat chromosome 15q25. We show that Epstein-Barr virus induced gene 2 (Ebi2, also known as Gpr183), which lies at this locus and controls B lymphocyte migration, is expressed in macrophages and regulates the IDIN. The human orthologous locus on chromosome 13q32 controlled the human equivalent of the IDIN, which was conserved in monocytes. IDIN genes were more likely to associate with susceptibility to type 1 diabetes (T1D)-a macrophage-associated autoimmune disease-than randomly selected immune response genes (P = 8.85 × 10(-6)). The human locus controlling the IDIN was associated with the risk of T1D at single nucleotide polymorphism rs9585056 (P = 7.0 × 10(-10); odds ratio, 1.15), which was one of five single nucleotide polymorphisms in this region associated with EBI2 (GPR183) expression. These data implicate IRF7 network genes and their regulatory locus in the pathogenesis of T1D.
286 citations
Authors
Showing all 4058 results
Name | H-index | Papers | Citations |
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Nicholas J. Wareham | 212 | 1657 | 204896 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Panos Deloukas | 162 | 410 | 154018 |
Michael R. Stratton | 161 | 443 | 142586 |
David W. Johnson | 160 | 2714 | 140778 |
Michael John Owen | 160 | 1110 | 135795 |
Naveed Sattar | 155 | 1326 | 116368 |
Robert E. W. Hancock | 152 | 775 | 88481 |
Julian Parkhill | 149 | 759 | 104736 |
Nilesh J. Samani | 149 | 779 | 113545 |
Michael Conlon O'Donovan | 142 | 736 | 118857 |
Jian Yang | 142 | 1818 | 111166 |
Christof Koch | 141 | 712 | 105221 |
Andrew G. Clark | 140 | 823 | 123333 |
Stylianos E. Antonarakis | 138 | 746 | 93605 |