Evidence map›Paper›PMID 42237046›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

A genomic structural equation modelling analysis of the shared genetic architecture of the aging spine.

Jianquan Chen, Xingjie Zhong, Liping Li, Peiyun Feng, Xiuping Duan, Di Mai, Lixia Liu, Jianwen Xu

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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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5 · Who and what money

Authors and funding

8 authors.

Jianquan Chen *The Second Nanning People's Hospital, Nanning, China.
Xingjie Zhong *The Second Nanning People's Hospital, Nanning, China.
Liping LiThe Second Nanning People's Hospital, Nanning, China.
Peiyun FengThe Second Nanning People's Hospital, Nanning, China.
Xiuping DuanThe Second Nanning People's Hospital, Nanning, China.
Di MaiThe Second Nanning People's Hospital, Nanning, China.
Lixia LiuThe Second Nanning People's Hospital, Nanning, China.
Jianwen XuFirst Affiliated Hospital of GuangXi Medical University, Nanning, China. xujianwen@gxmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical manifestations of aging spine, such as lumbar spinal stenosis, intervertebral disc degeneration, osteoporosis and sciatica, frequently co-occur, yet their shared genetic basis remains unclear.

methodsWe assembled large-scale GWAS summary statistics for telomere length, osteoporosis, intervertebral disc degeneration, lumbar spinal stenosis and sciatica, and applied Genomic structural equation modelling to model their SNP-based heritability and genetic covariance structure. A latent aging spine factor was fitted to capture common genetic liability, followed by mvGWAS of the factor, fine-mapping, MAGMA, SCCA-TWAS with FOCUS, pathway, cell-type and functional enrichment analysis.

resultsAll five traits showed non zero SNP based heritability and a coherent pattern of genetic covariance, and were well summarized by a single latent aging spine factor that loaded most strongly on lumbar spinal stenosis, sciatica and intervertebral disc degeneration. GWAS of this factor identified 273 independent lead variants, and fine mapping highlighted a focused set of putatively causal SNPs, such as rs61981103, rs111736973 and rs963278. Integrative TWAS and MAGMA analysis converged on susceptibility genes such as LRRC34, MYNN, SAMHD1 and EEF1A2. Enrichment analysis consistently implicated telomere biology, chromosome maintenance and genomic stability pathways.

conclusionsThese findings support the aging spine as a biologically meaningful construct with a shared genetic basis, and provide an initial map of its polygenic architecture that extends previous single-trait studies.

Indexed as

Aging spineFine-mappingGenome-wide association studyGenomic structural equation modelingPolygenic architecture

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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 Socratic graph.