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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.


Papers
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Journal ArticleDOI
TL;DR: The challenge for the next decade is to build the global epidemiological infrastructure required for statistically robust genomewide association analysis, as a way of discovering novel mechanisms of protective immunity that can be used in the development of an effective malaria vaccine.
Abstract: Malaria is a major killer of children worldwide and the strongest known force for evolutionary selection in the recent history of the human genome. The past decade has seen growing evidence of ethnic differences in susceptibility to malaria and of the diverse genetic adaptations to malaria that have arisen in different populations: epidemiological confirmation of the hypotheses that G6PD deficiency, α + thalassemia, and hemoglobin C protect against malaria mortality; the application of novel haplotype-based techniques demonstrating that malaria-protective genes have been subject to recent positive selection; the first genetic linkage maps of resistance to malaria in experimental murine models; and a growing number of reported associations with resistance and susceptibility to human malaria, particularly in genes involved in immunity, inflammation, and cell adhesion. The challenge for the next decade is to build the global epidemiological infrastructure required for statistically robust genomewide association analysis, as a way of discovering novel mechanisms of protective immunity that can be used in the development of an effective malaria vaccine.

1,002 citations

Journal ArticleDOI
TL;DR: A global map of the effects of polymorphism on gene expression in 400 children from families recruited through a proband with asthma is created and a downloadable database is created to facilitate use of the findings in the mapping of complex disease loci.
Abstract: We have created a global map of the effects of polymorphism on gene expression in 400 children from families recruited through a proband with asthma. We genotyped 408,273 SNPs and identified expression quantitative trait loci from measurements of 54,675 transcripts representing 20,599 genes in Epstein-Barr virus‐transformed lymphoblastoid cell lines. We found that 15,084 transcripts (28%) representing 6,660 genes had narrow-sense heritabilities (H 2 ) 4 0.3. We executed genome-wide association scans for these traits and found peak lod scores between 3.68 and 59.1. The most highly heritable traits were markedly enriched in Gene Ontology descriptors for response to unfolded protein (chaperonins and heat shock proteins), regulation of progression through the cell cycle, RNA processing, DNA repair, immune responses and apoptosis. SNPs that regulate expression of these genes are candidates in the study of degenerative diseases, malignancy, infection and inflammation. We have created a downloadable database to facilitate use of our findings in the mapping of complex disease loci. Variation in gene transcription is important in mediating disease susceptibility, and global identification of genetic variants that regulate gene transcription will be helpful in mapping human disease genes. The many genome-wide association (GWA) studies currently underway are likely to identify multiple genetic variants that are associated with multifactorial traits. We anticipate that these variants will often reside outside of coding regions and will have no known or evident functional effects. Gene transcript abundance is directly modified by polymorphism in regulatory elements and consequently may be mapped with considerable power 1,2 . As a consequence, our objective was to build a database that would allow researchers to systematically examine potential effects of disease-associated variants on transcript expression. By studying global gene expression in a comprehensive GWA study, we also hoped to add global understanding to issues of heritability, marker coverage, interactions and dominance that are of relevance to all GWA studies of complex traits.

997 citations

Journal ArticleDOI
TL;DR: Global gene expression analysis demonstrated that exogenous IRF5 upregulated or downregulated expression of established phenotypic markers of M1 or M2 macrophages, respectively, suggesting a critical role for IRf5 in M1 macrophage polarization and defining a previously unknown function forIRF5 as a transcriptional repressor.
Abstract: Polymorphisms in the gene encoding the transcription factor IRF5 that lead to higher mRNA expression are associated with many autoimmune diseases. Here we show that IRF5 expression in macrophages was reversibly induced by inflammatory stimuli and contributed to the plasticity of macrophage polarization. High expression of IRF5 was characteristic of M1 macrophages, in which it directly activated transcription of the genes encoding interleukin 12 subunit p40 (IL-12p40), IL-12p35 and IL-23p19 and repressed the gene encoding IL-10. Consequently, those macrophages set up the environment for a potent T helper type 1 (T(H)1)-T(H)17 response. Global gene expression analysis demonstrated that exogenous IRF5 upregulated or downregulated expression of established phenotypic markers of M1 or M2 macrophages, respectively. Our data suggest a critical role for IRF5 in M1 macrophage polarization and define a previously unknown function for IRF5 as a transcriptional repressor.

991 citations

Journal ArticleDOI
William J. Astle, Heather Elding1, Heather Elding2, Tao Jiang3, Dave Allen4, Dace Ruklisa4, Dace Ruklisa3, Alice L. Mann2, Daniel Mead2, Heleen J. Bouman2, Fernando Riveros-Mckay2, Myrto Kostadima5, Myrto Kostadima3, Myrto Kostadima4, John J. Lambourne4, John J. Lambourne3, Suthesh Sivapalaratnam6, Suthesh Sivapalaratnam3, Kate Downes3, Kate Downes4, Kousik Kundu3, Kousik Kundu2, Lorenzo Bomba2, Kim Berentsen7, John Bradley3, John Bradley1, Louise C. Daugherty3, Louise C. Daugherty4, Olivier Delaneau8, Kathleen Freson9, Stephen F. Garner4, Stephen F. Garner3, Luigi Grassi4, Luigi Grassi3, Jose A. Guerrero3, Jose A. Guerrero4, Matthias Haimel3, Eva M. Janssen-Megens7, Anita Kaan7, Mihir A Kamat3, Bowon Kim7, Amit Mandoli7, Jonathan Marchini10, Jonathan Marchini11, Joost H.A. Martens7, Stuart Meacham3, Stuart Meacham4, Karyn Megy3, Karyn Megy4, Jared O'Connell11, Jared O'Connell10, Romina Petersen4, Romina Petersen3, Nilofar Sharifi7, S.M. Sheard, James R Staley3, Salih Tuna3, Martijn van der Ent7, Klaudia Walter2, Shuang-Yin Wang7, Eleanor Wheeler2, Steven P. Wilder5, Valentina Iotchkova5, Valentina Iotchkova2, Carmel Moore3, Jennifer G. Sambrook4, Jennifer G. Sambrook3, Hendrik G. Stunnenberg7, Emanuele Di Angelantonio1, Emanuele Di Angelantonio12, Emanuele Di Angelantonio3, Stephen Kaptoge1, Stephen Kaptoge3, Taco W. Kuijpers13, Enrique Carrillo-de-Santa-Pau, David Juan, Daniel Rico14, Alfonso Valencia, Lu Chen2, Lu Chen3, Bing Ge15, Louella Vasquez2, Tony Kwan15, Diego Garrido-Martín16, Stephen Watt2, Ying Yang2, Roderic Guigó16, Stephan Beck17, Dirk S. Paul3, Dirk S. Paul17, Tomi Pastinen15, David Bujold15, Guillaume Bourque15, Mattia Frontini4, Mattia Frontini12, Mattia Frontini3, John Danesh, David J. Roberts18, David J. Roberts19, Willem H. Ouwehand, Adam S. Butterworth12, Adam S. Butterworth1, Adam S. Butterworth3, Nicole Soranzo 
17 Nov 2016-Cell
TL;DR: A genome-wide association analysis in the UK Biobank and INTERVAL studies is performed, providing evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations betweenBlood cell indices and cardiovascular disease may be non-causal.

982 citations

Journal ArticleDOI
06 Jun 2018-Nature
TL;DR: The genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study is characterized, and it is shown that protein quantitative trait loci overlap with gene expression quantitative traits, as well as with disease-associated loci, and evidence that protein biomarkers have causal roles in disease is found.
Abstract: Although plasma proteins have important roles in biological processes and are the direct targets of many drugs, the genetic factors that control inter-individual variation in plasma protein levels are not well understood. Here we characterize the genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study. We identify 1,927 genetic associations with 1,478 proteins, a fourfold increase on existing knowledge, including trans associations for 1,104 proteins. To understand the consequences of perturbations in plasma protein levels, we apply an integrated approach that links genetic variation with biological pathway, disease, and drug databases. We show that protein quantitative trait loci overlap with gene expression quantitative trait loci, as well as with disease-associated loci, and find evidence that protein biomarkers have causal roles in disease using Mendelian randomization analysis. By linking genetic factors to diseases via specific proteins, our analyses highlight potential therapeutic targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development.

961 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