Success of Face Analysis Technology in Rare Genetic Diseases Diagnosed by Whole-Exome Sequencing: A Single-Center Experience

dc.contributor.authorElmas, Muhsin
dc.contributor.authorGöğüş, Başak
dc.date.accessioned2021-05-05T22:14:12Z
dc.date.available2021-05-05T22:14:12Z
dc.date.issued2020
dc.departmentAFSÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Tıbbi Genetik Ana Bilim Dalıen_US
dc.descriptionWOS:000526860000002en_US
dc.descriptionPubMed: 32256296en_US
dc.description.abstractThe diagnosis of rare genetic diseases is one of the most difficult areas in medicine. Whole-exome sequencing (WES) technology makes it easier to diagnose these diseases. In addition, next-generation phenotyping can help to diagnose computer-based algorithms. Detailed dysmorphologic findings of 25 patients diagnosed by WES in our center were described. The success of this technology in diagnosing rare genetic diseases was investigated by scanning the photographs of 25 patients with Face2Gene application. The application listed possible preliminary diagnoses (30 disease suggestion). Of these, 12 (48%) cases were correctly matched. The most common disease group in the patients was neurological disease (96%). The most common mode of inheritance in the patients was autosomal recessive. The rate of consanguineous marriages was determined in 80% of the patients. Ten patients had microcephaly and 7 patients had corpus callosum anomaly. In our study, we found that the success of Face2Gene was lower than described in the literature. We think that the probable cause of this condition is that the cases are very rare, and there is not enough data about these diseases in the application. Therefore, it is recommended that applications should be used more frequently by pediatricians and clinical geneticists. The diagnosis of rare diseases still is quite difficult. Nowadays, WES is a successful method. However, applications such as Face2Gene help to make a clinical prediagnosis and create a larger database.en_US
dc.identifier.doi10.1159/000505800
dc.identifier.endpage14en_US
dc.identifier.issn1661-8769
dc.identifier.issn1661-8777
dc.identifier.issue1en_US
dc.identifier.pmid32256296
dc.identifier.scopus2-s2.0-85079527370
dc.identifier.scopusqualityQ4
dc.identifier.startpage4en_US
dc.identifier.urihttps://doi.org/10.1159/000505800
dc.identifier.urihttps://hdl.handle.net/20.500.12933/363
dc.identifier.volume11en_US
dc.identifier.wosWOS:000526860000002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorElmas, Muhsin
dc.institutionauthorGöğüş, Başak
dc.language.isoen
dc.publisherKargeren_US
dc.relation.ispartofMolecular Syndromology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectDeep learningen_US
dc.subjectWhole-exome sequencingen_US
dc.titleSuccess of Face Analysis Technology in Rare Genetic Diseases Diagnosed by Whole-Exome Sequencing: A Single-Center Experienceen_US
dc.typeArticle

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