Integrating deep phenotyping with genetic analysis: a comprehensive workflow for diagnosis and management of rare bone diseases
Phenotypes play a fundamental role in medical genetics, serving as external manifestations of underlying genotypes. Deep phenotyping, a cornerstone of precision medicine, involves precise multi-system phenotype assessments, facilitating disease subtyping and genetic understanding. Despite their significance, the field lacks standardized protocols for accurate phenotype evaluation, hindering clinical comprehension and research comparability. We present a comprehensive workflow of deep phenotyping for rare bone diseases from the Genetics Clinic of Skeletal Deformity at Peking Union Medical College Hospital. Our workflow integrates referral, informed consent, and detailed phenotype evaluation through HPO standards, capturing nuanced phenotypic characteristics using clinical examinations, questionnaires, and multimedia documentation. Genetic testing and counseling follow, based on deep phenotyping results, ensuring personalized interventions. Multidisciplinary team consultations facilitate comprehensive patient care and clinical guideline development. Regular follow-up visits emphasize dynamic phenotype reassessment, ensuring treatment strategies remain responsive to evolving patient needs. In conclusion, this study highlights the importance of deep phenotyping in rare bone diseases, offering a standardized framework for phenotype evaluation, genetic analysis, and multidisciplinary intervention. By enhancing clinical care and research outcomes, this approach contributes to the advancement of precision medicine in the field of medical genetics.
Authors
- Jianle Yang (ORCID: https://orcid.org/0000-0002-4231-605X)
- Xiangjie Yin (ORCID: https://orcid.org/0000-0002-5543-4514)
- Guozhuang Li (ORCID: https://orcid.org/0000-0002-0356-2418)
- Kexin Xu
- Nan Wu (ORCID: https://orcid.org/0000-0002-9429-2889)
- Qing Li (ORCID: https://orcid.org/0000-0003-3232-9479)
- Ning Zhang (ORCID: https://orcid.org/0000-0003-0768-6554)
- Jianguo Zhang (ORCID: https://orcid.org/0000-0003-3129-5190)
- Aoran Mahesahti
- Zhengye Zhao (ORCID: https://orcid.org/0000-0002-1663-0467)
- Jihao Cai (ORCID: https://orcid.org/0009-0007-2455-2642)
- Jie Wang (ORCID: https://orcid.org/0000-0002-6126-5120)
- Xinyu Yang (ORCID: https://orcid.org/0009-0004-4716-8641)
Institutions
- Jiangnan University (CN)
- Yahoo (United Kingdom) (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Orphanet Journal of Rare Diseases
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1186/s13023-024-03367-8
- Citations
- 3
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.65
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- National Natural Science Foundation of China
- Peking Union Medical College Hospital
- National Key Research and Development Program of China