Harsono Ivan William, Ariani Yulia, Benyamin Beben, Fadilah Fadilah, Pujianto Dwi Ari, Hafifah Cut Nurul
Doctoral Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.
Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.
JAMIA Open. 2024 Jun 14;7(2):ooae052. doi: 10.1093/jamiaopen/ooae052. eCollection 2024 Jul.
Diagnosing rare diseases is an arduous and challenging process in clinical settings, resulting in the late discovery of novel variants and referral loops. To help clinicians, we built IDeRare pipelines to accelerate phenotype-genotype analysis for patients with suspected rare diseases.
IDeRare pipeline is separated into phenotype and genotype parts. The phenotype utilizes our handmade Python library, while the genotype part utilizes command line (bash) and Python script to combine bioinformatics executable and Docker image.
We described various implementations of IDeRare phenotype and genotype parts with real-world clinical and exome data using IDeRare, accelerating the terminology conversion process and giving insight on the diagnostic pathway based on disease linkage analysis until exome analysis and HTML-based reporting for clinicians.
IDeRare is freely available under the BSD-3 license, obtainable via GitHub. The portability of IDeRare pipeline could be easily implemented for semi-technical users and extensible for advanced users.
在临床环境中,诊断罕见病是一个艰巨且具有挑战性的过程,这会导致新变异的发现延迟以及转诊循环。为了帮助临床医生,我们构建了IDeRare流程来加速对疑似罕见病患者的表型 - 基因型分析。
IDeRare流程分为表型和基因型两部分。表型部分使用我们手工编写的Python库,而基因型部分则使用命令行(bash)和Python脚本将生物信息学可执行文件与Docker镜像相结合。
我们使用IDeRare,结合实际临床和外显子数据描述了IDeRare表型和基因型部分的各种实现方式,加速了术语转换过程,并基于疾病连锁分析直至外显子分析以及为临床医生生成基于HTML的报告,为诊断途径提供了见解。
IDeRare依据BSD - 3许可免费提供,可通过GitHub获取。IDeRare流程的可移植性对于半技术用户而言易于实现,对于高级用户则具有可扩展性。