Literature DB >> 32256296

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

Muhsin Elmas1, Basak Gogus1.   

Abstract

The 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.
Copyright © 2020 by S. Karger AG, Basel.

Entities:  

Keywords:  Artificial intelligence; Deep learning; Whole-exome sequencing

Year:  2020        PMID: 32256296      PMCID: PMC7109386          DOI: 10.1159/000505800

Source DB:  PubMed          Journal:  Mol Syndromol        ISSN: 1661-8769


  25 in total

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Journal:  Am J Hum Genet       Date:  1988-05       Impact factor: 11.025

5.  Clinical whole exome sequencing in child neurology practice.

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Review 6.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

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Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

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9.  Consanguineous marriages, pearls and perils: Geneva International Consanguinity Workshop Report.

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  5 in total

1.  First Italian experience using the automated craniofacial gestalt analysis on a cohort of pediatric patients with multiple anomaly syndromes.

Authors:  Giulia Pascolini; Mauro Calvani; Paola Grammatico
Journal:  Ital J Pediatr       Date:  2022-06-13       Impact factor: 3.288

2.  Deep learning-based facial image analysis in medical research: a systematic review protocol.

Authors:  Zhaohui Su; Bin Liang; Feng Shi; J Gelfond; Sabina Šegalo; Jing Wang; Peng Jia; Xiaoning Hao
Journal:  BMJ Open       Date:  2021-11-11       Impact factor: 2.692

3.  Case Report: The success of face analysis technology in extremely rare genetic diseases in Korea: Tatton-Brown-Rahman syndrome and Say-Barber -Biesecker-Young-Simpson variant of ohdo syndrome.

Authors:  Sunha Park; Jaewon Kim; Tae-Young Song; Dae-Hyun Jang
Journal:  Front Genet       Date:  2022-08-03       Impact factor: 4.772

Review 4.  Williams syndrome.

Authors:  Beth A Kozel; Boaz Barak; Chong Ae Kim; Carolyn B Mervis; Lucy R Osborne; Melanie Porter; Barbara R Pober
Journal:  Nat Rev Dis Primers       Date:  2021-06-17       Impact factor: 65.038

5.  Diagnostic performance of artificial intelligence to detect genetic diseases with facial phenotypes: A protocol for systematic review and meta analysis.

Authors:  Bosheng Qin; Qiyao Quan; Jingchao Wu; Letian Liang; Dongxiao Li
Journal:  Medicine (Baltimore)       Date:  2020-07-02       Impact factor: 1.817

  5 in total

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