A
Alfredo Miranda
Researcher at European Bioinformatics Institute
Publications - 6
Citations - 1065
Alfredo Miranda is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Genome-wide association study & Identification (biology). The author has an hindex of 5, co-authored 5 publications receiving 344 citations.
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Journal ArticleDOI
Open Targets Platform: new developments and updates two years on.
Denise Carvalho-Silva,Andrea Pierleoni,Miguel Pignatelli,Chuang Kee Ong,Luca Fumis,Nikiforos Karamanis,Miguel Carmona,Adam Faulconbridge,Andrew Hercules,Elaine McAuley,Alfredo Miranda,Gareth Peat,Michaela Spitzer,Jeffrey C. Barrett,David G. Hulcoop,Eliseo Papa,Gautier Koscielny,Ian Dunham +17 more
TL;DR: The latest developments of the Open Targets Platform are presented, expanding the evidence and target-disease associations with new and improved data sources, refining data quality, enhancing website usability, and increasing the user base with training workshops, user support, social media and bioinformatics forum engagement.
Journal ArticleDOI
Open Targets Platform: supporting systematic drug-target identification and prioritisation.
David Ochoa,Andrew Hercules,Miguel Carmona,Daniel Suveges,Asier Gonzalez-Uriarte,Cinzia Malangone,Alfredo Miranda,Luca Fumis,Denise Carvalho-Silva,Michaela Spitzer,Jarrod Baker,Javier Ferrer,Arwa Bin Raies,Olesya Razuvayevskaya,Adam Faulconbridge,Eirini Petsalaki,Prudence Mutowo,Sandra Machlitt-Northen,Gareth Peat,Elaine McAuley,Chuang Kee Ong,Edward Mountjoy,Maya Ghoussaini,Andrea Pierleoni,Eliseo Papa,Miguel Pignatelli,Gautier Koscielny,Mohd Anisul Karim,Jeremy Schwartzentruber,David G. Hulcoop,Ian Dunham,Ian Dunham,Ellen M. McDonagh +32 more
TL;DR: To aid the prioritisation of targets and inform on the potential impact of modulating a given target, evaluation of post-marketing adverse drug reactions and new curated information on target tractability and safety are added.
Journal ArticleDOI
Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics.
Maya Ghoussaini,Edward Mountjoy,Miguel Carmona,Gareth Peat,Ellen M. Schmidt,Andrew Hercules,Luca Fumis,Alfredo Miranda,Denise Carvalho-Silva,Annalisa Buniello,Tony Burdett,James D. Hayhurst,Jarrod Baker,Javier Ferrer,Asier Gonzalez-Uriarte,Simon Jupp,Mohd Anisul Karim,Gautier Koscielny,Sandra Machlitt-Northen,Cinzia Malangone,Zoë May Pendlington,Paola Roncaglia,Daniel Suveges,Daniel Wright,Olga Vrousgou,Eliseo Papa,Helen Parkinson,Jacqueline A. L. MacArthur,John A. Todd,Jeffrey C. Barrett,Jeremy Schwartzentruber,David G. Hulcoop,David Ochoa,Ellen M. McDonagh,Ellen M. McDonagh,Ian Dunham,Ian Dunham +36 more
TL;DR: Open Targets Genetics offers tools that enable users to prioritise causal variants and genes at disease-associated loci and access systematic cross-disease and disease-molecular trait colocalization analysis across 92 cell types and tissues including the eQTL Catalogue.
Journal ArticleDOI
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci.
Edward Mountjoy,Ellen M. Schmidt,Miguel Carmona,Jeremy Schwartzentruber,Jeremy Schwartzentruber,Gareth Peat,Alfredo Miranda,Luca Fumis,James D. Hayhurst,Annalisa Buniello,Mohd Anisul Karim,Daniel Wright,Andrew Hercules,Eliseo Papa,Eric B. Fauman,Jeffrey C. Barrett,John A. Todd,David Ochoa,Ian Dunham,Ian Dunham,Maya Ghoussaini +20 more
TL;DR: Open Targets Genetics as discussed by the authors is a community resource that provides systematic fine mapping at human GWAS loci, enabling users to prioritize genes at disease-associated regions and assess their potential as drug targets.
Posted ContentDOI
Open Targets Genetics: An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci
Edward Mountjoy,Ellen M. Schmidt,Miguel Carmona,Gareth Peat,Alfredo Miranda,Luca Fumis,James D. Hayhurst,Annalisa Buniello,Jeremy Schwartzentruber,Jeremy Schwartzentruber,Mohd Anisul Karim,Daniel Wright,Andrew Hercules,Eliseo Papa,Eric B. Fauman,Jeffrey C. Barrett,John A. Todd,David Ochoa,Ian Dunham,Ian Dunham,Maya Ghoussaini +20 more
TL;DR: An open resource that provides systematic fine-mapping and protein-coding gene prioritization across 133,441 published human GWAS loci and trained a machine learning model to distinguish causal genes from background genes at the same loci, outperforming a naive distance based model.