Keratoconus-susceptibility gene identification by corneal thickness genome-wide association study and artificial intelligence IBM Watson

通过角膜厚度全基因组关联研究和人工智能 IBM Watson 识别圆锥角膜易感基因

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作者:Yoshikatsu Hosoda, Masahiro Miyake, Akira Meguro, Yasuharu Tabara, Sachiko Iwai, Naoko Ueda-Arakawa, Eri Nakano, Yuki Mori, Munemitsu Yoshikawa, Hideo Nakanishi, Chiea-Chuen Khor, Seang-Mei Saw, Ryo Yamada, Fumihiko Matsuda, Ching-Yu Cheng, Nobuhisa Mizuki, Akitaka Tsujikawa, Kenji Yamashiro; Nagaha

Abstract

Keratoconus is a common ocular disorder that causes progressive corneal thinning and is the leading indication for corneal transplantation. Central corneal thickness (CCT) is a highly heritable characteristic that is associated with keratoconus. In this two-stage genome-wide association study (GWAS) of CCT, we identified a locus for CCT, namely STON2 rs2371597 (P = 2.32 × 10-13), and confirmed a significant association between STON2 rs2371597 and keratoconus development (P = 0.041). Additionally, strong STON2 expression was observed in mouse corneal epithelial basal cells. We also identified SMAD3 rs12913547 as a susceptibility locus for keratoconus development using predictive analysis with IBM's Watson question answering computer system (P = 0.001). Further GWAS analyses combined with Watson could effectively reveal detailed pathways underlying keratoconus development.

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