Topological data analysis reveals genotype–phenotype relationships in primary ciliary dyskinesia

نویسندگان

چکیده

Background Primary ciliary dyskinesia (PCD) is a heterogeneous inherited disorder caused by mutations in approximately 50 cilia-related genes. PCD genotype–phenotype relationships have mostly arisen from small case series because existing statistical approaches to investigating been unsuitable for rare diseases. Methods We applied topological data analysis (TDA) approach investigate PCD. Data separate training and validation cohorts included 396 genetically defined individuals carrying pathogenic variants To develop the TDA models, 12 clinical diagnostic variables were included. TDA-driven hypotheses subsequently tested using traditional statistics. Results Disease severity at diagnosis, measured forced expiratory volume 1 s (FEV ) z-score, was significantly worse with CCDC39 (compared other gene mutations) better those DNAH11 mutations; latter also reported less neonatal respiratory distress. Patients without distress had preserved FEV diagnosis. Individuals DNAH5 phenotypically diverse. Cilia ultrastructure beat pattern defects correlated closely specific causative groups, confirming these tests can be used support genetic Conclusions This large scale, multi-national study presents as syndrome overlapping symptoms variations phenotype according genotype. modelling confirmed smaller studies ( e.g. mutation) identified new relationships, including preservation diversity of mutations.

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ژورنال

عنوان ژورنال: The European respiratory journal

سال: 2021

ISSN: ['0903-1936', '1399-3003']

DOI: https://doi.org/10.1183/13993003.02359-2020