Literature DB >> 33264411

The Human Phenotype Ontology in 2021.

Sebastian Köhler1,2, Michael Gargano2,3, Nicolas Matentzoglu2,4,5, Leigh C Carmody2,3, David Lewis-Smith6,7, Nicole A Vasilevsky2,8, Daniel Danis, Ganna Balagura9,10, Gareth Baynam11,12, Amy M Brower13, Tiffany J Callahan14, Christopher G Chute15, Johanna L Est16, Peter D Galer17,18, Shiva Ganesan17,18, Matthias Griese16,19, Matthias Haimel20,21, Julia Pazmandi20,21,22, Marc Hanauer23, Nomi L Harris2,24, Michael J Hartnett13, Maximilian Hastreiter16, Fabian Hauck16,25, Yongqun He26, Tim Jeske16, Hugh Kearney27, Gerhard Kindle28,29, Christoph Klein16, Katrin Knoflach16,19, Roland Krause30, David Lagorce23, Julie A McMurry2,31, Jillian A Miller13, Monica C Munoz-Torres2,31, Rebecca L Peters13, Christina K Rapp16,19, Ana M Rath23, Shahmir A Rind32,33, Avi Z Rosenberg34, Michael M Segal35, Markus G Seidel36, Damian Smedley37, Tomer Talmy38,39, Yarlalu Thomas40, Samuel A Wiafe41, Julie Xian17,42, Zafer Yüksel43, Ingo Helbig44,45, Christopher J Mungall2,24, Melissa A Haendel2,8,31, Peter N Robinson2,3,22.   

Abstract

The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for phenotype exchange. The HPO has grown steadily since its inception due to considerable contributions from clinical experts and researchers from a diverse range of disciplines. Here, we present recent major extensions of the HPO for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas. For example, the seizure subontology now reflects the International League Against Epilepsy (ILAE) guidelines and these enhancements have already shown clinical validity. We present new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease. These efforts will benefit software such as Exomiser by improving the accuracy and scope of cross-species phenotype matching. The computational modeling strategy used by the HPO to define disease entities and phenotypic features and distinguish between them is explained in detail.We also report on recent efforts to translate the HPO into indigenous languages. Finally, we summarize recent advances in the use of HPO in electronic health record systems.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Mesh:

Year:  2021        PMID: 33264411      PMCID: PMC7778952          DOI: 10.1093/nar/gkaa1043

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  59 in total

1.  Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE).

Authors:  Robert S Fisher; Walter van Emde Boas; Warren Blume; Christian Elger; Pierre Genton; Phillip Lee; Jerome Engel
Journal:  Epilepsia       Date:  2005-04       Impact factor: 5.864

2.  Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease.

Authors:  Lisa Bastarache; Jacob J Hughey; Jeffrey A Goldstein; Julie A Bastraache; Satya Das; Neil Charles Zaki; Chenjie Zeng; Leigh Anne Tang; Dan M Roden; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

3.  A proposed diagnostic scheme for people with epileptic seizures and with epilepsy: report of the ILAE Task Force on Classification and Terminology.

Authors:  J Engel
Journal:  Epilepsia       Date:  2001-06       Impact factor: 5.864

4.  Generalized epilepsy with febrile seizures plus. A genetic disorder with heterogeneous clinical phenotypes.

Authors:  I E Scheffer; S F Berkovic
Journal:  Brain       Date:  1997-03       Impact factor: 13.501

5.  Phen-Gen: combining phenotype and genotype to analyze rare disorders.

Authors:  Asif Javed; Saloni Agrawal; Pauline C Ng
Journal:  Nat Methods       Date:  2014-08-03       Impact factor: 28.547

6.  Phenopolis: an open platform for harmonization and analysis of genetic and phenotypic data.

Authors:  Nikolas Pontikos; Jing Yu; Ismail Moghul; Lucy Withington; Fiona Blanco-Kelly; Tom Vulliamy; Tsz Lun Ernest Wong; Cian Murphy; Valentina Cipriani; Alessia Fiorentino; Gavin Arno; Daniel Greene; Julius O B Jacobsen; Tristan Clark; David S Gregory; Andrea M Nemeth; Stephanie Halford; Chris F Inglehearn; Susan Downes; Graeme C Black; Andrew R Webster; Alison J Hardcastle; Vincent Plagnol
Journal:  Bioinformatics       Date:  2017-08-01       Impact factor: 6.937

7.  Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes.

Authors:  Willie H Chang; Pouria Mashouri; Alexander X Lozano; Brittney Johnstone; Mia Husić; Annie Olry; Sylvie Maiella; Tugce B Balci; Sarah L Sawyer; Peter N Robinson; Ana Rath; Michael Brudno
Journal:  Genet Med       Date:  2020-05-05       Impact factor: 8.822

8.  Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT.

Authors:  Ferdinand Dhombres; Olivier Bodenreider
Journal:  J Biomed Semantics       Date:  2016-02-09

Review 9.  Xenbase: Facilitating the Use of Xenopus to Model Human Disease.

Authors:  Mardi J Nenni; Malcolm E Fisher; Christina James-Zorn; Troy J Pells; Virgilio Ponferrada; Stanley Chu; Joshua D Fortriede; Kevin A Burns; Ying Wang; Vaneet S Lotay; Dong Zhou Wang; Erik Segerdell; Praneet Chaturvedi; Kamran Karimi; Peter D Vize; Aaron M Zorn
Journal:  Front Physiol       Date:  2019-02-26       Impact factor: 4.566

Review 10.  Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.

Authors:  Edison Ong; Lucy L Wang; Jennifer Schaub; John F O'Toole; Becky Steck; Avi Z Rosenberg; Frederick Dowd; Jens Hansen; Laura Barisoni; Sanjay Jain; Ian H de Boer; M Todd Valerius; Sushrut S Waikar; Christopher Park; Dana C Crawford; Theodore Alexandrov; Christopher R Anderton; Christian Stoeckert; Chunhua Weng; Alexander D Diehl; Christopher J Mungall; Melissa Haendel; Peter N Robinson; Jonathan Himmelfarb; Ravi Iyengar; Matthias Kretzler; Sean Mooney; Yongqun He
Journal:  Nat Rev Nephrol       Date:  2020-09-16       Impact factor: 28.314

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  117 in total

1.  CNVxplorer: a web tool to assist clinical interpretation of CNVs in rare disease patients.

Authors:  Francisco Requena; Hamza Hadj Abdallah; Alejandro García; Patrick Nitschké; Sergi Romana; Valérie Malan; Antonio Rausell
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

2.  DVPred: a disease-specific prediction tool for variant pathogenicity classification for hearing loss.

Authors:  Fengxiao Bu; Mingjun Zhong; Qinyi Chen; Yumei Wang; Xia Zhao; Qian Zhang; Xiarong Li; Kevin T Booth; Hela Azaiez; Yu Lu; Jing Cheng; Richard J H Smith; Huijun Yuan
Journal:  Hum Genet       Date:  2022-02-19       Impact factor: 4.132

3.  Heterozygous EIF2AK2 Variant Causes Adolescence-Onset Generalized Dystonia Partially Responsive to DBS.

Authors:  Francesca Magrinelli; Dalila Moualek; Meriem Tazir; Lamia Ali Pacha; Alice Verghese; Kailash P Bhatia; Reza Maroofian; Henry Houlden
Journal:  Mov Disord Clin Pract       Date:  2021-11-21

4.  Paroxysmal Hypothermia With Prominent Parkinsonian Features After Suprachiasmatic Tumor Resection.

Authors:  Natalie Erlich-Malona; Luca Bartolini; Anelyssa D'Abreu; Julie Roth
Journal:  Neurohospitalist       Date:  2021-12-06

5.  A Visual Phenotype-Based Differential Diagnosis Process for Rare Diseases.

Authors:  Jian Yang; Liqi Shu; Huilong Duan; Haomin Li
Journal:  Interdiscip Sci       Date:  2021-11-09       Impact factor: 2.233

6.  Cerebellar atrophy on top of motor neuron compromise as indicator of late-onset GM2 gangliosidosis.

Authors:  Hans Thomas Hölzer; Felix Boschann; Julia B Hennermann; Gabriele Hahn; Andreas Hermann; Maja von der Hagen; Victoria Tüngler
Journal:  J Neurol       Date:  2021-03-09       Impact factor: 4.849

7.  MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases.

Authors:  Thiloka E Ratnaike; Daniel Greene; Wei Wei; Alba Sanchis-Juan; Katherine R Schon; Jelle van den Ameele; Lucy Raymond; Rita Horvath; Ernest Turro; Patrick F Chinnery
Journal:  Nucleic Acids Res       Date:  2021-09-27       Impact factor: 16.971

8.  PhenCards: a data resource linking human phenotype information to biomedical knowledge.

Authors:  James M Havrilla; Cong Liu; Xiangchen Dong; Chunhua Weng; Kai Wang
Journal:  Genome Med       Date:  2021-05-25       Impact factor: 11.117

9.  Identification of Novel Genomic-Variant Patterns of OR56A5, OR52L1, and CTSD in Retinitis Pigmentosa Patients by Whole-Exome Sequencing.

Authors:  Ting-Yi Lin; Yun-Chia Chang; Yu-Jer Hsiao; Yueh Chien; Ying-Chun Jheng; Jing-Rong Wu; Lo-Jei Ching; De-Kuang Hwang; Chih-Chien Hsu; Tai-Chi Lin; Yu-Bai Chou; Yi-Ming Huang; Shih-Jen Chen; Yi-Ping Yang; Ping-Hsing Tsai
Journal:  Int J Mol Sci       Date:  2021-05-25       Impact factor: 5.923

Review 10.  Neuronal Cytoskeleton in Intellectual Disability: From Systems Biology and Modeling to Therapeutic Opportunities.

Authors:  Carla Liaci; Mattia Camera; Giovanni Caslini; Simona Rando; Salvatore Contino; Valentino Romano; Giorgio R Merlo
Journal:  Int J Mol Sci       Date:  2021-06-07       Impact factor: 5.923

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