Scientific Programme & Abstracts from the International Meeting in Pediatric Endocrinology (IMPE)

impe0096fc10.1 | Miscellaneous | IMPE2023

Clinical usefulness of a deep learning-based facial recognition application (Face2Gene) as a diagnostic tool for syndromic endocrine-related disorders.

Motokawa Midori , Watanabe Satoshi , Nakatomi Akiko , Mishima Hiroyuki , Yoshiura Koh-ichiro , Moriuchi Hiroyuki , Dateki Sumito

Introduction: Face2Gene (FDNA Inc., Boston, MA) is a web application for artificial intelligence-driven facial phenotyping, providing a list of the top thirty candidate syndromes based on gestalts from two-dimensional facial images of patients. Although the effectiveness of Face2Gene for the diagnosis of congenital syndromic disorders has been reported mainly in Caucasian populations, the sensitivities for syndromic endocrine-related disorders and the performa...

impe0096p102 | Growth and Syndromes | IMPE2023

Trio whole-exome sequencing in patients with syndromic short stature of unknown cause

Dateki Sumito , Motokawa Midori , Kawamura Haruka , Haraguchi Kohei , Shirakawa Toshihiko , Mishima Hiroyuki , Yoshiura Koh-ichiro , Moriuchi Hiroyuki

Introduction: Short stature is a common phenotype among patients with congenital syndromic disorders. However, the clinical diagnosis of such patients is often difficult because of their rarity and phenotypic complexity.Objective: To investigate the genetic etiology of syndromic short stature of unknown cause in our institute.Methods: We performed trio whole-exome sequencing in 35 ...