The role of phenotype-based search approaches using public online databases in diagnostics of Mendelian disorders

Genet Med. 2021 Jun;23(6):1095-1100. doi: 10.1038/s41436-020-01085-7. Epub 2021 Jan 20.

Abstract

Purpose: To investigate the effectiveness of phenotype-based search approaches using publicly available online databases.

Methods: We included consecutively solved cases from our exome database. For each case, the combination of Human Phenotype Ontology terms reported by the referring clinician was used to perform a search in three commonly used databases: OMIM (first 300 results), Phenolyzer (first 300 results), and Mendelian (all 100 results).

Results: One hundred cases were included (43 females; mean age: 10 years). The actual molecular diagnosis identified through exome sequencing was not included in the search results of any of the queried databases in 33% of cases. In 85% of cases it was not found within the top five search results. When included, its median rank was 61 (range: 1-295), 21 (1-270), and 29 (1-92) in OMIM, Phenolyzer and Mendelian, respectively.

Conclusion: This study demonstrates that, in most cases, phenotype-based search approaches using public online databases is ineffective in providing a probable diagnosis for Mendelian conditions. Genotype-first approach through molecular-guided diagnostics with backward phenotyping may be a more appropriate approach for these disorders, unless a specific diagnosis is considered a priori based on highly unique phenotypic features or a specific facial gestalt.

MeSH terms

  • Child
  • Databases, Factual
  • Databases, Genetic*
  • Exome Sequencing
  • Exome* / genetics
  • Female
  • Genotype
  • Humans
  • Phenotype