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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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GWAS summary statistics for three latent factors of musculoskeletal disorders

Research datakeyboard_double_arrow_right Dataset 14 Mar 2026Publisher:Zenodo
Authors: Gong, Weiming; Guo, Yantong; Sun, Xiubin; Wang, Shukang; Xue, Fuzhong; Zhao, Wei; Zhou, Xiang; +2 Authors

doi: 10.5281/zenodo.19012444 , 10.5281/zenodo.19012445

GWAS summary statistics for three latent factors of musculoskeletal disorders

Abstract

This dataset contains GWAS summary statistics for three latent factors related to musculoskeletal disorders generated using genomic structural equation modeling. The phenotypes are:MSKdg: degenerative musculoskeletal disorder factorMSKbm: bone mass factorMSKai: autoimmune disorder factor Publication: Multivariate genetic analysis reveals three distinct pathological dimensions in musculoskeletal disorders (Accepted)

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average