Evidence of causality of low body mass index on risk of adolescent idiopathic scoliosis: a Mendelian randomization study.

Published
July 07, 2023
Journal
Frontiers in endocrinology
PICOID
ee4375c5
DOI
Citations
5
Keywords
Mendelian randomization (MR), adolescent idiopathic scoliosis, body mass index, genetic study, genome-wide association study
Copyright
Copyright © 2023 Otomo, Khanshour, Koido, Takeda, Momozawa, Kubo, Kamatani, Herring, Ogura, Takahashi, Minami, Uno, Kawakami, Ito, Sato, Watanabe, Kaito, Yanagida, Taneichi, Harimaya, Taniguchi, Shigematsu, Iida, Demura, Sugawara, Fujita, Yagi, Okada, Hosogane, Kono, Nakamura, Chiba, Kotani, Sakuma, Akazawa, Suzuki, Nishida, Kakutani, Tsuji, Sudo, Iwata, Inami, Wise, Kochi, Matsumoto, Ikegawa, Watanabe and Terao.
Patients/Population/Participants

adolescent idiopathic scoliosis, AIS

Intervention

body mass index, BMI

Comparison

genetically decreased BMI

Outcome

risk of AIS

Abstract

P
I
C
O

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. 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. 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 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.

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