Individualised human phenotype ontology gene panels improve clinical whole exome and genome sequencing analytical efficacy in a cohort of developmental and epileptic encephalopathies

Author:

Henry Olivia J.1ORCID,Stödberg Tommy23,Båtelson Sofia3,Rasi Chiara4ORCID,Stranneheim Henrik145,Wedell Anna15

Affiliation:

1. Department of Molecular Medicine and Surgery Karolinska Institutet Stockholm Sweden

2. Department of Women's and Children's Health Karolinska Institutet Stockholm Sweden

3. Department of Pediatric Neurology Karolinska University Hospital Stockholm Sweden

4. Science for Life Laboratory, Department of Microbiology, Tumour and Cell Biology Karolinska Institutet Stockholm Sweden

5. Centre for Inherited Metabolic Diseases Karolinska University Hospital Stockholm Sweden

Abstract

AbstractBackgroundThe majority of genetic epilepsies remain unsolved in terms of specific genotype. Phenotype‐based genomic analyses have shown potential to strengthen genomic analysis in various ways, including improving analytical efficacy.MethodsWe have tested a standardised phenotyping method termed ‘Phenomodels’ for integrating deep‐phenotyping information with our in‐house developed clinical whole exome/genome sequencing analytical pipeline. Phenomodels includes a user‐friendly epilepsy phenotyping template and an objective measure for selecting which template terms to include in individualised Human Phenotype Ontology (HPO) gene panels. In a pilot study of 38 previously solved cases of developmental and epileptic encephalopathies, we compared the sensitivity and specificity of the individualised HPO gene panels with the clinical epilepsy gene panel.ResultsThe Phenomodels template showed high sensitivity for capturing relevant phenotypic information, where 37/38 individuals' HPO gene panels included the causative gene. The HPO gene panels also had far fewer variants to assess than the epilepsy gene panel.ConclusionWe have demonstrated a viable approach for incorporating standardised phenotype information into clinical genomic analyses, which may enable more efficient analysis.

Funder

Karolinska Institutet

Knut och Alice Wallenbergs Stiftelse

Vetenskapsrådet

Publisher

Wiley

Subject

Genetics (clinical),Genetics,Molecular Biology

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