Evidence map›Paper›PMID 42432332›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Mapping the genetically predicted associations between lower-extremity muscle traits and spinal diseases.

Qijun Wang, Shibao Lu

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Qijun WangDepartment of Orthopedics & Elderly Spinal Surgery, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Shibao LuDepartment of Orthopedics & Elderly Spinal Surgery, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China. spinelu@xwhosp.org.

Funding

Beijing Natural Science Foundation L254007post-subsidy funds for National Clinical Research Center, Ministry of Science and Technology of China 303-01-001-0272-05Scientific incubating Foundation of Capital Medical University PYZ25046
6 · The paper itself

Abstract

purposeHumans are the only bipedal vertebrates, and the links between the lower-extremity muscles and spinal disorders have been highlighted. However, the exact relationships between them are not fully understood. This study aimed to elucidate the genetically predicted associations between lower-extremity muscle traits and spinal diseases using Mendelian randomization (MR) analysis.

methodsWe used summary statistics from genome-wide association studies for lower-extremity muscle traits from UK Biobank, including thigh muscle volume, thigh muscle fat infiltration, usual walking pace, etc.; and 31 types of spinal diseases from the FinnGen R10 to obtain genetic instrumental variables. We examined bidirectional MR evidence for causalities using inverse-variance weighted analyses and sensitivity analyses. A multivariate MR approach was applied to investigate the direct effect between the significant associations identified by univariate MR.

resultsSlow walking pace was found to be a risk factor associated with 10 spinal disorders. Low back pain and sciatica were two important risk factors genetically associated with the slower walking pace. In addition, higher posterior thigh muscle fat infiltration levels could significantly increase the odds of spinal stenosis, spondylolisthesis/spondylolysis, and spondylosis.

conclusionThis MR study provides evidence of genetically predicted relationships between lower-extremity muscle traits and spinal diseases, and supports the development of lower-extremity exercise techniques for prevention and intervention of spinal disorders in clinical practice.

Indexed as

Lower extremityMendelian randomizationMuscle fat infiltrationMuscle volumeSpinal diseasesWalk pace

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.