The Causal Relationships Between Sleep-related Phenotypes and Body Composition: A Mendelian Randomized Study.

Yujing Chen, Chun'e Li, Shiqiang Cheng, Chuyu Pan, Huijie Zhang, Jingxi Zhang, Zhen Zhang, Yao Yao, Bolun Cheng, Li Liu, Peilin Meng, Xuena Yang, Yumeng Jia, Yan Wen, Feng Zhang

Journal: The Journal of clinical endocrinology and metabolism 2022;107(8):e3463-e3473

PMID: 35435981

Abstract

BACKGROUND

Despite cumulative evidence showing obesity is associated with changes in sleep quality and quantity, the study about the relationships between sleep and body composition is scarce, and whether the relationship is causal remains unknown. In this study, we examined whether there are causal associations between sleep and body composition.

METHODS

First, we estimated genetic correlations between sleep-related phenotypes and body composition using the linkage disequilibrium score regression (LDSC). Mendelian randomization (MR) analysis was then conducted to test 2-way causal relationships on phenotypes with significant genetic associations. Finally, Bayesian colocalization (COLOC) analysis was performed to calculate the posterior probability of causal variation and identify the common genes to verify the results of MR.

RESULTS

For the LDSC analysis, we observed some significant genetic correlations (rG), such as snoring and right leg fat mass (rG = 0.376, P = 7.21 × 10-80). For the MR analysis, we identified some significant causal relationships, such as snoring is the causal risk factor for whole-body fat-free mass (Pweighted median = 1.28 × 10-6, PMR-PRESSO = 1.35 × 10-7), dozing is the causal risk factor for right leg fat mass (Pweighted median = 9.22 × 10-4, PMR-PRESSO = 9.55 × 10-4), and right arm fat mass (Pweighted median = 1.11 × 10-40, PMR-PRESSO = 4.93 × 10-55) is the causal risk factor for snoring. For the COLOC analysis, we identified rs143384 mapping on GDF5 and 6 overlapped single nucleotide polymorphisms (eg, rs1421085, rs11642015) mapping on FTO.

CONCLUSION

Our study identified the causal relationships between sleep-related phenotypes and body composition. These findings may give insights into the mechanism of sleep disturbances and provide novel therapeutic targets.

© The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: [email protected].

Address: Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China.
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