Literature DB >> 29425702

Harmonising phenomics information for a better interoperability in the rare disease field.

Sylvie Maiella1, Annie Olry1, Marc Hanauer1, Valérie Lanneau1, Halima Lourghi1, Bruno Donadille1, Charlotte Rodwell1, Sebastian Köhler2, Dominik Seelow2, Simon Jupp3, Helen Parkinson3, Tudor Groza4, Michael Brudno5, Peter N Robinson6, Ana Rath7.   

Abstract

HIPBI-RD (Harmonising phenomics information for a better interoperability in the rare disease field) is a three-year project which started in 2016 funded via the E-Rare 3 ERA-NET program. This project builds on three resources largely adopted by the rare disease (RD) community: Orphanet, its ontology ORDO (the Orphanet Rare Disease Ontology), HPO (the Human Phenotype Ontology) as well as PhenoTips software for the capture and sharing of structured phenotypic data for RD patients. Our project is further supported by resources developed by the European Bioinformatics Institute and the Garvan Institute. HIPBI-RD aims to provide the community with an integrated, RD-specific bioinformatics ecosystem that will harmonise the way phenomics information is stored in databases and patient files worldwide, and thereby contribute to interoperability. This ecosystem will consist of a suite of tools and ontologies, optimized to work together, and made available through commonly used software repositories. The project workplan follows three main objectives: The HIPBI-RD ecosystem will contribute to the interpretation of variants identified through exome and full genome sequencing by harmonising the way phenotypic information is collected, thus improving diagnostics and delineation of RD. The ultimate goal of HIPBI-RD is to provide a resource that will contribute to bridging genome-scale biology and a disease-centered view on human pathobiology. Achievements in Year 1.
Copyright © 2018. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Biological ontologies; Controlled vocabulary; Diagnosis; Differential; Knowledge bases

Mesh:

Year:  2018        PMID: 29425702     DOI: 10.1016/j.ejmg.2018.01.013

Source DB:  PubMed          Journal:  Eur J Med Genet        ISSN: 1769-7212            Impact factor:   2.708


  9 in total

Review 1.  The utility of phenomics in diagnosis of inherited metabolic disorders.

Authors:  Joyeeta Rahman; Shamima Rahman
Journal:  Clin Med (Lond)       Date:  2019-01       Impact factor: 2.659

Review 2.  [Rare-disease data standards].

Authors:  Peter N Robinson; Holm Graessner
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2022-09-23       Impact factor: 1.595

3.  Interpretable Clinical Genomics with a Likelihood Ratio Paradigm.

Authors:  Peter N Robinson; Vida Ravanmehr; Julius O B Jacobsen; Daniel Danis; Xingmin Aaron Zhang; Leigh C Carmody; Michael A Gargano; Courtney L Thaxton; Guy Karlebach; Justin Reese; Manuel Holtgrewe; Sebastian Köhler; Julie A McMurry; Melissa A Haendel; Damian Smedley
Journal:  Am J Hum Genet       Date:  2020-08-04       Impact factor: 11.025

4.  Supplementation of the ESID registry working definitions for the clinical diagnosis of inborn errors of immunity with encoded human phenotype ontology (HPO) terms.

Authors:  Lukas M Gasteiger; Peter N Robinson; Julia Pazmandi; Kaan Boztug; Mikko R J Seppänen; Markus G Seidel
Journal:  J Allergy Clin Immunol Pract       Date:  2020-05

5.  A nomenclature and classification for the congenital myasthenic syndromes: preparing for FAIR data in the genomic era.

Authors:  Rachel Thompson; Angela Abicht; David Beeson; Andrew G Engel; Bruno Eymard; Emmanuel Maxime; Hanns Lochmüller
Journal:  Orphanet J Rare Dis       Date:  2018-11-26       Impact factor: 4.123

6.  An ontological foundation for ocular phenotypes and rare eye diseases.

Authors:  Panagiotis I Sergouniotis; Emmanuel Maxime; Dorothée Leroux; Annie Olry; Rachel Thompson; Ana Rath; Peter N Robinson; Hélène Dollfus
Journal:  Orphanet J Rare Dis       Date:  2019-01-09       Impact factor: 4.123

7.  Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.

Authors:  Sebastian Köhler; Leigh Carmody; Nicole Vasilevsky; Julius O B Jacobsen; Daniel Danis; Jean-Philippe Gourdine; Michael Gargano; Nomi L Harris; Nicolas Matentzoglu; Julie A McMurry; David Osumi-Sutherland; Valentina Cipriani; James P Balhoff; Tom Conlin; Hannah Blau; Gareth Baynam; Richard Palmer; Dylan Gratian; Hugh Dawkins; Michael Segal; Anna C Jansen; Ahmed Muaz; Willie H Chang; Jenna Bergerson; Stanley J F Laulederkind; Zafer Yüksel; Sergi Beltran; Alexandra F Freeman; Panagiotis I Sergouniotis; Daniel Durkin; Andrea L Storm; Marc Hanauer; Michael Brudno; Susan M Bello; Murat Sincan; Kayli Rageth; Matthew T Wheeler; Renske Oegema; Halima Lourghi; Maria G Della Rocca; Rachel Thompson; Francisco Castellanos; James Priest; Charlotte Cunningham-Rundles; Ayushi Hegde; Ruth C Lovering; Catherine Hajek; Annie Olry; Luigi Notarangelo; Morgan Similuk; Xingmin A Zhang; David Gómez-Andrés; Hanns Lochmüller; Hélène Dollfus; Sergio Rosenzweig; Shruti Marwaha; Ana Rath; Kathleen Sullivan; Cynthia Smith; Joshua D Milner; Dorothée Leroux; Cornelius F Boerkoel; Amy Klion; Melody C Carter; Tudor Groza; Damian Smedley; Melissa A Haendel; Chris Mungall; Peter N Robinson
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  Deep phenotyping: symptom annotation made simple with SAMS.

Authors:  Robin Steinhaus; Sebastian Proft; Evelyn Seelow; Tobias Schalau; Peter N Robinson; Dominik Seelow
Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

9.  Wikidata as a knowledge graph for the life sciences.

Authors:  Andra Waagmeester; Gregory Stupp; Sebastian Burgstaller-Muehlbacher; Benjamin M Good; Malachi Griffith; Obi L Griffith; Kristina Hanspers; Henning Hermjakob; Toby S Hudson; Kevin Hybiske; Sarah M Keating; Magnus Manske; Michael Mayers; Daniel Mietchen; Elvira Mitraka; Alexander R Pico; Timothy Putman; Anders Riutta; Nuria Queralt-Rosinach; Lynn M Schriml; Thomas Shafee; Denise Slenter; Ralf Stephan; Katherine Thornton; Ginger Tsueng; Roger Tu; Sabah Ul-Hasan; Egon Willighagen; Chunlei Wu; Andrew I Su
Journal:  Elife       Date:  2020-03-17       Impact factor: 8.713

  9 in total

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