Article
Differentiating molecular etiologies of Angelman syndrome through facial phenotyping using deep learning.
American journal of medical genetics. Part A - 1 Sept 2020
Gomez Diego A, Bird Lynne M, Fleischer Nicole, Abdul-Rahman Omar A
Abstract excerpt
Angelman syndrome (AS) is caused by several genetic mechanisms that impair the expression of maternally-inherited UBE3A through deletions, paternal uniparental disomy (UPD), UBE3A pathogenic variants, or imprinting defects. Current methods of differentiating the etiology require molecular testing, which is sometimes difficult to obtain. Recently, computer-based facial analysis systems have been used to assist in...
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