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Dataset Information

Computational analysis of 10,860 phenotypic annotations in individuals with SCN2A-related disorders.


ABSTRACT:

Purpose

Pathogenic variants in SCN2A cause a wide range of neurodevelopmental phenotypes. Reports of genotype-phenotype correlations are often anecdotal, and the available phenotypic data have not been systematically analyzed.

Methods

We extracted phenotypic information from primary descriptions of SCN2A-related disorders in the literature between 2001 and 2019, which we coded in Human Phenotype Ontology (HPO) terms. With higher-level phenotype terms inferred by the HPO structure, we assessed the frequencies of clinical features and investigated the association of these features with variant classes and locations within the NaV1.2 protein.

Results

We identified 413 unrelated individuals and derived a total of 10,860 HPO terms with 562 unique terms. Protein-

SUBMITTER: Crawford K 

PROVIDER: S-EPMC8257493 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature