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. 2024 Jan 5;52(D1):D1333-D1346.
doi: 10.1093/nar/gkad1005.

The Human Phenotype Ontology in 2024: phenotypes around the world

Michael A Gargano  1 Nicolas Matentzoglu  2 Ben Coleman  1 Eunice B Addo-Lartey  3 Anna V Anagnostopoulos  4 Joel Anderton  5 Paul Avillach  6 Anita M Bagley  7 Eduard Bakštein  8 James P Balhoff  9 Gareth Baynam  10 Susan M Bello  4 Michael Berk  11 Holli Bertram  12 Somer Bishop  13 Hannah Blau  1 David F Bodenstein  14 Pablo Botas  15 Kaan Boztug  16 Jolana Čady  17 Tiffany J Callahan  18 Rhiannon Cameron  19 Seth J Carbon  20 Francisco Castellanos  1 J Harry Caufield  20 Lauren E Chan  21 Christopher G Chute  22 Jaime Cruz-Rojo  23 Noémi Dahan-Oliel  24 Jon R Davids  7 Maud de Dieuleveult  25 Vinicius de Souza  26 Bert B A de Vries  27 Esther de Vries  28 J Raymond DePaulo  29 Beata Derfalvi  30 Ferdinand Dhombres  31 Claudia Diaz-Byrd  12 Alexander J M Dingemans  27 Bruno Donadille  32 Michael Duyzend  33 Reem Elfeky  34 Shahim Essaid  35 Carolina Fabrizzi  36 Giovanna Fico  37 Helen V Firth  38 Yun Freudenberg-Hua  39 Janice M Fullerton  40 Davera L Gabriel  41 Kimberly Gilmour  42 Jessica Giordano  43 Fernando S Goes  29 Rachel Gore Moses  44 Ian Green  45 Matthias Griese  46 Tudor Groza  10 Weihong Gu  47 Julia Guthrie  48 Benjamin Gyori  49 Ada Hamosh  50 Marc Hanauer  36 Kateřina Hanušová  17 Yongqun Oliver He  51 Harshad Hegde  20 Ingo Helbig  52 Kateřina Holasová  17 Charles Tapley Hoyt  49 Shangzhi Huang  47 Eric Hurwitz  53 Julius O B Jacobsen  54 Xiaofeng Jiang  47 Lisa Joseph  55 Kamyar Keramatian  56 Bryan King  13 Katrin Knoflach  46 David A Koolen  27 Megan L Kraus  53 Carlo Kroll  54 Maaike Kusters  42 Markus S Ladewig  57 David Lagorce  36 Meng-Chuan Lai  58 Pablo Lapunzina  59 Bryan Laraway  53 David Lewis-Smith  60 Xiarong Li  47 Caterina Lucano  36 Marzieh Majd  61 Mary L Marazita  5 Victor Martinez-Glez  62 Toby H McHenry  5 Melvin G McInnis  12 Julie A McMurry  53 Michaela Mihulová  63 Caitlin E Millett  64 Philip B Mitchell  65 Veronika Moslerová  63 Kenji Narutomi  66 Shahrzad Nematollahi  67 Julian Nevado  59 Andrew A Nierenberg  68 Nikola Novák Čajbiková  63 John I Nurnberger Jr  69 Soichi Ogishima  70 Daniel Olson  71 Abigail Ortiz  72 Harry Pachajoa  73 Guiomar Perez de Nanclares  74 Amy Peters  75 Tim Putman  53 Christina K Rapp  46 Ana Rath  36 Justin Reese  20 Lauren Rekerle  1 Angharad M Roberts  76 Suzy Roy  45 Stephan J Sanders  77 Catharina Schuetz  78 Eva C Schulte  79 Thomas G Schulze  80 Martin Schwarz  63 Katie Scott  81 Dominik Seelow  82 Berthold Seitz  83 Yiping Shen  47 Morgan N Similuk  44 Eric S Simon  84 Balwinder Singh  85 Damian Smedley  54 Cynthia L Smith  4 Jake T Smolinsky  86 Sarah Sperry  12 Elizabeth Stafford  87 Ray Stefancsik  26 Robin Steinhaus  82 Rebecca Strawbridge  88 Jagadish Chandrabose Sundaramurthi  1 Polina Talapova  89 Jair A Tenorio Castano  59 Pavel Tesner  63 Rhys H Thomas  60 Audrey Thurm  55 Marek Turnovec  63 Marielle E van Gijn  90 Nicole A Vasilevsky  91 Markéta Vlčková  63 Anita Walden  35 Kai Wang  47 Ron Wapner  43 James S Ware  76 Addo A Wiafe  3 Samuel A Wiafe  3 Lisa D Wiggins  92 Andrew E Williams  89 Chen Wu  47 Margot J Wyrwoll  93 Hui Xiong  47 Nefize Yalin  88 Yasunori Yamamoto  94 Lakshmi N Yatham  56 Anastasia K Yocum  12 Allan H Young  95 Zafer Yüksel  96 Peter P Zandi  29 Andreas Zankl  97 Ignacio Zarante  98 Miroslav Zvolský  17 Sabrina Toro  53 Leigh C Carmody  1 Nomi L Harris  20 Monica C Munoz-Torres  35 Daniel Danis  1 Christopher J Mungall  20 Sebastian Köhler  99 Melissa A Haendel  53 Peter N Robinson  1
Affiliations

The Human Phenotype Ontology in 2024: phenotypes around the world

Michael A Gargano et al. Nucleic Acids Res. .

Abstract

The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.

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Figures

Graphical Abstract
Graphical Abstract
Figure 1.
Figure 1.
Screenshot of internationalized HPO Web application. For each term, users can choose from the available languages (seven, in this example) in addition to English. Term labels, definitions and synonyms are shown in the chosen language if translations are available; otherwise, the English version is shown.
Figure 2.
Figure 2.
The Phenotypic Feature element of the GA4GH Phenopacket Schema. This element contextualizes HPO annotations by allowing the severity, onset, resolution, and other characteristics (modifiers) of the phenotypic observation to be specified. In this example, two phenotypic observations are given: (i) severe, daily (quotidian) infantile spasms with infantile onset (between month two and twelve of life) and resolution at the age of 4 years, 2 months and (ii) exclusion of global developmental delay (that is, this feature was assessed and explicitly found not to be present).

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