Adolescent idiopathic scoliosis (AIS) is a common disease causing three-dimensional spinal deformity in as many as 3% of adolescents. Development of a method that can accurately predict the onset and progression of AIS is an immediate need for clinical practice. Because the heritability of AIS is estimated as high as 87.5% in twin studies, prediction of its onset and progression based on genetic data is a promising option. We show the usefulness of polygenic risk score (PRS) for the prediction of onset and progression of AIS. We used AIS genomewide association study (GWAS) data comprising 79,211 subjects in three cohorts and constructed a PRS based on association statistics in a discovery set including 31,999 female subjects. After calibration using a validation data set, we applied the PRS to a test data set. By integrating functional annotations showing heritability enrichment in the selection of variants, the PRS demonstrated an association with AIS susceptibility (p = 3.5 × 10 with area under the receiver-operating characteristic [AUROC] = 0.674, sensitivity = 0.644, and specificity = 0.622). The decile with the highest PRS showed an odds ratio of as high as 3.36 (p = 1.4 × 10 ) to develop AIS compared with the fifth in decile. The addition of a predictive model with only a single clinical parameter (body mass index) improved predictive ability for development of AIS (AUROC = 0.722, net reclassification improvement [NRI] 0.505 ± 0.054, p = 1.6 × 10 ), potentiating clinical use of the prediction model. Furthermore, we found the Cobb angle (CA), the severity measurement of AIS, to be a polygenic trait that showed a significant genetic correlation with AIS susceptibility (rg = 0.6, p = 3.0 × 10 ). The AIS PRS demonstrated a significant association with CA. These results indicate a shared polygenic architecture between onset and progression of AIS and the potential usefulness of PRS in clinical settings as a predictor to promote early intervention of AIS and avoid invasive surgery. © 2021 American Society for Bone and Mineral Research (ASBMR).© 2021 American Society for Bone and Mineral Research (ASBMR).
About The Expert
Nao Otomo
Hsing-Fang Lu
Masaru Koido
Ikuyo Kou
Kazuki Takeda
Yukihide Momozawa
Michiaki Kubo
Yoichiro Kamatani
Yoji Ogura
Yohei Takahashi
Masahiro Nakajima
Shohei Minami
Koki Uno
Noriaki Kawakami
Manabu Ito
Tatsuya Sato
Kei Watanabe
Takashi Kaito
Haruhisa Yanagida
Hiroshi Taneichi
Katsumi Harimaya
Yuki Taniguchi
Hideki Shigematsu
Takahiro Iida
Satoru Demura
Ryo Sugawara
Nobuyuki Fujita
Mitsuru Yagi
Eijiro Okada
Naobumi Hosogane
Katsuki Kono
Masaya Nakamura
Kazuhiro Chiba
Toshiaki Kotani
Tsuyoshi Sakuma
Tsutomu Akazawa
Teppei Suzuki
Kotaro Nishida
Kenichiro Kakutani
Taichi Tsuji
Hideki Sudo
Akira Iwata
Kazuo Kaneko
Satoshi Inami
Yuta Kochi
Wei-Chiao Chang
Morio Matsumoto
Kota Watanabe
Shiro Ikegawa
Chikashi Terao
References
PubMed