How do clinician and parent-reported data differ? An analysis of similarity and difference in the datasets from a cross-syndrome genetics cohort study (GenROC)

Karen Jaqueline Low*, Huw Day, Mevmi Lasanya Kodippuli Thanthilla, GenROC Consortium, Charlotte Davis, Helen V Firth, Caroline Wright

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Background:
Parent/patient-reported (PRD) datasets provide ready access to phenotypic data for monogenic neurodevelopmental disorders, yet their concordance with clinical data is unclear.

Methods:
In the GenROC study, 547 children (mean age 7.6 years, balanced sex ratio) had parallel parent-reported web questionnaires and clinician-reported (CRD) Human Phenotype Ontology proformas. We compared the two sources per participant by system, gene and gene group and overall for quantity, detail and similarity.

Results:
547 probands were analysed ranging in age from infancy to 16 years (mean 7.6) with similar gender distribution. PRD provided more terms for dental, gastroenterology, immunology and respiratory systems and for vision (p<0.001 for all) and to a lesser degree for cardiac (p=0.0012). CRD provides more detail than PRD for most gene subgroups, combined systems and for neurology (p<0.001). Similarity scores were low overall per participant (mean 0.38 for combined). Similarity scores were highest for cardiac (mean 0.74) and lowest for Ear/Nose/Throat(ENT) (mean 0.34). There was minimal difference in similarity scores across gene groups or between the top 10 genes—scaffold adaptor gene groups had the highest (mean 0.43) as did STXBP1 (mean 0.5) and CACNA1A (0.49). CRD is more similar to published syndrome phenotypes for syndromic genes.

Conclusions:
Parents reported more common childhood phenotypes, such as asthma and dental issues, while clinicians provided clinical phenotype descriptors, such as brain morphology and seizure semiology. It is important to understand the differences when designing studies and using datasets to appreciate their strengths and limitations.
Original languageEnglish
Number of pages10
JournalJournal of Medical Genetics
Early online date19 Jan 2026
DOIs
Publication statusE-pub ahead of print - 19 Jan 2026

Bibliographical note

Publisher Copyright:
© Author(s) (or their employer(s)) 2025.

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