Nematollahi Shahrzad, Hamdy Reggie C, van Bosse Harold, Li Joyce, Blanshay-Goldberg Daniel, de Vries Johanna I P, Dieterich Klaus, Filges Isabel, Bedard Tanya, Haendel Melissa, Torres Monica Munoz, Robinson Peter N, Dahan-Oliel Noémi
School of Physical and Occupational Therapy, McGill University, Montreal, Québec, Canada.
Department of Clinical Research, Shriners Hospitals for Children, Montreal, Québec, Canada.
Am J Med Genet A. 2025 Aug;197(8):e64067. doi: 10.1002/ajmg.a.64067. Epub 2025 Apr 3.
Arthrogryposis multiplex congenita (AMC) represents a large, rare group of congenital conditions. This study addressed major challenges in AMC research posed by the lack of systematic frameworks for data collection and the use of inconsistent terminologies and text descriptions. We aimed to systematically review the Human Phenotype Ontology (HPO) terms, encode AMC phenotypic traits as HPO terms, and pilot test the encoding process in a cohort of children with AMC. An international consensus-based dataset for AMC was used to extract phenotypic traits from the fetal period to adulthood. The encoding process was developed by an international expert panel to expand and revise HPO ontology for joint contractures, as the main characterizing traits in AMC. Using a pre-tested mapping algorithm, the HPO mapping process resulted in a 62% complete match, a 12% incomplete match, and a 26% no match. The encoding process included 37 new terms and annotations and 13 re-structures across 10 different joints. The implemented annotations significantly increased the number of available HPO terms for joint contractures in a cohort of children with AMC (p-value = 0.04). Our encoding and annotation approach may be used as a blueprint for systematic HPO (re)annotations for musculoskeletal and non-musculoskeletal phenotypic traits of AMC.
先天性多发性关节挛缩症(AMC)是一大类罕见的先天性疾病。本研究解决了AMC研究中的主要挑战,这些挑战源于缺乏系统的数据收集框架以及使用不一致的术语和文本描述。我们旨在系统地回顾人类表型本体(HPO)术语,将AMC表型特征编码为HPO术语,并在一组AMC儿童中对编码过程进行试点测试。一个基于国际共识的AMC数据集被用于提取从胎儿期到成年期的表型特征。编码过程由一个国际专家小组开发,以扩展和修订HPO本体中关于关节挛缩的内容,因为关节挛缩是AMC的主要特征性表现。使用预先测试的映射算法,HPO映射过程的结果是62%完全匹配、12%不完全匹配和26%不匹配。编码过程包括37个新术语和注释以及跨10个不同关节的13次重新构建。所实施的注释显著增加了AMC儿童队列中关节挛缩可用HPO术语的数量(p值 = 0.04)。我们的编码和注释方法可作为对AMC的肌肉骨骼和非肌肉骨骼表型特征进行系统HPO(重新)注释的蓝图。