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Genomics Reveals Causes of Cerebral Palsy
UK pilot study finds that whole genome sequencing can uncover genetic conditions in children, leading to changes in clinical management and specialist care
Assess the diagnostic yield and clinical impact of whole genome sequencing (WGS) in children with cerebral palsy.
Approach:
Participants and testing: Researchers recruited 86 children from five NHS specialist clinics in England. WGS was generally performed alongside sequencing of biological parents.
Variant analysis: AI software prioritized potentially disease-causing variants, which were reviewed using broad genome analysis, targeted gene lists, and multidisciplinary interpretation.
Prediction model: Researchers developed a machine learning model using standardized clinical descriptions to estimate the likelihood of a genetic diagnosis.
Key Findings:
Pathogenic or likely pathogenic variants were identified in 11 children (12.8%); eight others (9.3%) had potentially relevant variants that did not establish a diagnosis.
All 11 confirmed diagnoses influenced care or genetic counselling. Four children received tailored clinical management, while seven required additional specialist care.
Examples included changing antiseizure medication after identifying an SCN1A variant, arranging specialist mitochondrial assessment, and introducing cardiovascular screening after detecting a COL4A1 variant.
Intellectual disability, dystonia, and abnormalities affecting multiple body systems were associated with a greater likelihood of a genetic diagnosis.
The machine learning model achieved an area under the curve of 0.88.
Some diagnostic variants would have been missed if analysis had been limited to genes already associated with cerebral palsy.
Interpretation:
The authors report evidence supporting consideration of WGS in NHS cerebral palsy assessments, particularly when additional clinical features suggest an underlying genetic condition.
Limitations:
The study included a small population of 86 children.
The findings included potentially relevant variants that were insufficient to establish a diagnosis.
The authors state that larger prospective studies are needed to assess diagnostic effectiveness, cost-effectiveness, and appropriate patient selection.
Conclusion:
Confirmed genetic diagnoses influenced care or genetic counselling in all 11 children with pathogenic or likely pathogenic variants.
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