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The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for Genomics

人类表型本体论：加速基因组学临床数据的计算整合

基本信息

批准号：
10681348
负责人：
MELISSA A HAENDEL
金额：
$ 73.86万
依托单位：
JACKSON LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-20 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10681348
关键词：
Academia Acceleration Address Adopted Adoption Age of Onset Algorithms Automated Annotation Basic Science Biology Cardiology Case Study Classification Clinic Clinical Clinical Data Clinical Management Clinical Medicine Collaborations Communities Computational algorithm Computer Analysis Computer software Data Data Reporting Development Diagnosis Diagnostic Differential Diagnosis Discipline Disease Disease model Disparate Electronic Health Record Ensure Event Face Foundations Frequencies Genes Genetic Diseases Genome Genomics Goals Guidelines Health Human Immunology Industry International Intervention Laboratories Language Link Location Maintenance Malignant Childhood Neoplasm Manuals Maps Medical Medical Genetics Modeling Modernization Nature Nephrology Neurology Online Systems Ontology Ophthalmology Patients Performance Pharmacogenomics Phenotype Process Publishing Rare Diseases Research Resources Seizures Sex Bias Standardization Structure Terminology Text Time Translations Variant biobank bioinformatics resource biomedical ontology causal variant clinical care clinical decision-making cohort cost effective data exchange diagnostic tool disease natural history disease phenotype experience genetic variant genomic data genomic variation health care delivery human disease improved interoperability ontology development patient registry phenotypic data precision medicine programs quality assurance user-friendly variant of unknown significance web portal

项目摘要

PROJECT SUMMARY/ABSTRACT To improve diagnostic yield for rare diseases, we developed the Human Phenotype Ontology (HPO) in 2008 as a comprehensive bioinformatic resource that provides a standardized terminology of phenotypic abnormalities for the analysis of human diseases. HPO reduces ambiguity in disease descriptions—thus enabling more robust differential diagnosis and clinical care—and enables phenotypic contextualization of genomic data for diagnostics and precision medicine. The performance of computational algorithms for differential diagnostics with HPO terms depends critically on the comprehensiveness and depth of HPO annotations for diseases. However, the current manual nature of our biocuration process has limited the quality, depth, and coverage of these annotations. Therefore, this proposal's objectives are to greatly expand the corpus of disease-phenotype annotations by automating portions of the curation and expanding the computational disease model. This project, HPO: Accelerating Computational Integration of Clinical Data for Genomics, will maintain and advance HPO resources to address the needs of a growing number of medical disciplines that have adopted the HPO. We will achieve this goal by 1) automating HPO development, maintenance, and release processes, 2) developing representations of rare disease treatments and interventions, and 3) extending our current computational disease models to represent time course, sex biases, and frequency of events, and to incorporate case report data. We also provide a sustainable solution to community contribution with a user-friendly, web- based portal to enable contributors to vet and suggest improvements to the ontology and the annotations and grow the HPO contributor community. In summary, our project addresses the most pressing needs for advancements of the HPO to ensure sustainable, robust, and rigorous development, to enable HPO resources to support new communities, new applications, and more medical disciplines.

项目摘要/摘要为了提高对罕见疾病的诊断效率，我们在2008年开发了人类表型本体(HPO)，作为提供表型异常标准化术语的综合生物信息资源用于分析人类疾病。HPO减少了疾病描述中的歧义，从而实现了更强大的鉴别诊断和临床护理-并实现基因组数据的表型上下文诊断学和精准医学。具有HPO项的微分诊断的计算算法的性能关键取决于疾病HPO注解的全面性和深刻性。然而，目前我们的手动性质生物修复过程限制了这些注释的质量、深度和覆盖面。因此，这项提案目标是通过自动执行部分管理和扩展计算疾病模型。这个项目，HPO：加速基因组学临床数据的计算集成，将维护和预留卫生保健署资源，以满足越来越多采用 HPO。我们将通过以下方式实现这一目标：1)自动化HPO开发、维护和发布流程；2) 开发罕见疾病治疗和干预的代表，以及3)扩展我们目前的计算疾病模型，以表示时间进程、性别偏见和事件频率，并将案例报告数据。我们还为社区贡献提供可持续的解决方案，提供用户友好的网络- 基于门户，使贡献者能够审查本体和注释并提出改进建议，以及发展HPO贡献者社区。总而言之，我们的项目满足了推进卫生保健目标的最迫切需要，以确保可持续、强大而严谨的开发，使HPO资源能够支持新社区、新应用和更多的医学学科。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Diffuse alveolar hemorrhage in children with interstitial lung disease: Determine etiologies!

DOI：
10.1002/ppul.26301
发表时间：
2023-04
期刊：
PEDIATRIC PULMONOLOGY
影响因子：
3.1
作者：
Knoflach, Katrin;Rapp, Christina Katharina;Schwerk, Nicolaus;Carlens, Julia;Wetzke, Martin;Emiralioglu, Nagehan;Kiper, Nural;Ring, Astrid Madsen;Buchvald, Frederik;Manali, Effrosyni;Papiris, Spyros;Reu-Hofer, Simone;Kappler, Matthias;Schieber, Alexandra;Seidl, Elias;Gothe, Florian;Robinson, Peter N.;Griese, Matthias
通讯作者：
Griese, Matthias

Curation and expansion of Human Phenotype Ontology for defined groups of inborn errors of immunity.

DOI：
10.1016/j.jaci.2021.04.033
发表时间：
2022-01
期刊：
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
影响因子：
14.2
作者：
Haimel, Matthias;Pazmandi, Julia;Heredia, Raul Jimenez;Dmytrus, Jasmin;Bal, Sevgi Koestel;Zoghi, Samaneh;van Daele, Paul;Briggs, Tracy A.;Wouters, Carine;Bader-Meunier, Brigitte;Aeschlimann, Florence A.;Caorsi, Roberta;Eleftheriou, Despina;Hoppenreijs, Esther;Salzer, Elisabeth;Bakhtiar, Shahrzad;Derfalvi, Beata;Saettini, Francesco;Kusters, Maaike A. A.;Elfeky, Reem;Truck, Johannes;Riviere, Jacques G.;van der Burg, Mirjam;Gattorno, Marco;Seidel, Markus G.;Burns, Siobhan;Warnatz, Klaus;Hauck, Fabian;Brogan, Paul;Gilmour, Kimberly C.;Schuetz, Catharina;Simon, Anna;Bock, Christoph;Hambleton, Sophie;de Vries, Esther;Robinson, Peter N.;van Gijn, Marielle;Boztug, Kaan
通讯作者：
Boztug, Kaan

[Rare-disease data standards].