AUTHOR=Otomo Nao , Khanshour Anas M. , Koido Masaru , Takeda Kazuki , Momozawa Yukihide , Kubo Michiaki , Kamatani Yoichiro , Herring John A. , Ogura Yoji , Takahashi Yohei , Minami Shohei , Uno Koki , Kawakami Noriaki , Ito Manabu , Sato Tatsuya , Watanabe Kei , Kaito Takashi , Yanagida Haruhisa , Taneichi Hiroshi , Harimaya Katsumi , Taniguchi Yuki , Shigematsu Hideki , Iida Takahiro , Demura Satoru , Sugawara Ryo , Fujita Nobuyuki , Yagi Mitsuru , Okada Eijiro , Hosogane Naobumi , Kono Katsuki , Nakamura Masaya , Chiba Kazuhiro , Kotani Toshiaki , Sakuma Tsuyoshi , Akazawa Tsutomu , Suzuki Teppei , Nishida Kotaro , Kakutani Kenichiro , Tsuji Taichi , Sudo Hideki , Iwata Akira , Inami Satoshi , Wise Carol A. , Kochi Yuta , Matsumoto Morio , Ikegawa Shiro , Watanabe Kota , Terao Chikashi TITLE=Evidence of causality of low body mass index on risk of adolescent idiopathic scoliosis: a Mendelian randomization study JOURNAL=Frontiers in Endocrinology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2023.1089414 DOI=10.3389/fendo.2023.1089414 ISSN=1664-2392 ABSTRACT=Introduction

Adolescent idiopathic scoliosis (AIS) is a disorder with a three-dimensional spinal deformity and is a common disease affecting 1-5% of adolescents. AIS is also known as a complex disease involved in environmental and genetic factors. A relation between AIS and body mass index (BMI) has been epidemiologically and genetically suggested. However, the causal relationship between AIS and BMI remains to be elucidated.

Material and methods

Mendelian randomization (MR) analysis was performed using summary statistics from genome-wide association studies (GWASs) of AIS (Japanese cohort, 5,327 cases, 73,884 controls; US cohort: 1,468 cases, 20,158 controls) and BMI (Biobank Japan: 173430 individual; meta-analysis of genetic investigation of anthropometric traits and UK Biobank: 806334 individuals; European Children cohort: 39620 individuals; Population Architecture using Genomics and Epidemiology: 49335 individuals). In MR analyses evaluating the effect of BMI on AIS, the association between BMI and AIS summary statistics was evaluated using the inverse-variance weighted (IVW) method, weighted median method, and Egger regression (MR-Egger) methods in Japanese.

Results

Significant causality of genetically decreased BMI on risk of AIS was estimated: IVW method (Estimate (beta) [SE] = -0.56 [0.16], p = 1.8 × 10-3), weighted median method (beta = -0.56 [0.18], p = 8.5 × 10-3) and MR-Egger method (beta = -1.50 [0.43], p = 4.7 × 10-3), respectively. Consistent results were also observed when using the US AIS summary statistic in three MR methods; however, no significant causality was observed when evaluating the effect of AIS on BMI.

Conclusions

Our Mendelian randomization analysis using large studies of AIS and GWAS for BMI summary statistics revealed that genetic variants contributing to low BMI have a causal effect on the onset of AIS. This result was consistent with those of epidemiological studies and would contribute to the early detection of AIS.