Evidence map›Paper›PMID 37745316›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits.

Sohyun Jeong, Ming-Ju Tsai, Changbing Shen, Yi-Hsiang Hsu

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sohyun JeongHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston 02131, MA.
Ming-Ju TsaiHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston 02131, MA.
Changbing ShenDepartment of Dermatology, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Yi-Hsiang HsuHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston 02131, MA.

Funding

Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra FishR01AR072199 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI HSU, YI-HSIANG · 2017 to 2022
$3.2M
NIAMS NIH HHS R01 AR072199
6 · The paper itself

Abstract

Background: Musculoskeletal disorders were commonly reported in patients with multiple sclerosis. However, the underlying etiology linking Multiple Sclerosis (MS) and musculoskeletal disorders is not well studied. With large-scale Genome-Wide Association Studies (GWAS) publicly available, we conducted genetic correlation analysis to identify shared pleiotropic genetic effects between MS and musculoskeletal traits. We also conducted Mendelian Randomization (MR) to estimate the causal relation between MS and increased risks of musculoskeletal disorders. Methods: Linkage Disequilibrium Score Regression (LDSR) analysis was performed to estimate heritability and genetic correlation. Univariable, multivariable, and bidirectional MR analyses were conducted to estimate the causal relation. These analyses were done by utilizing the recent GWAS summary statistics of MS, fracture, frailty, falls, and several musculoskeletal risk factors, including bone mineral density, lean mass, grip strengths, and vitamin D. Results: LDSR analysis showed a moderate genetic correlation of MS with falls (RG=0.10, Conclusion: Our study suggests a potential genetic correlation with shared pleiotropic genetic effects between MS and falls. However, we didn't find evidence to support the causal relation between MS and increased risks of falls, fracture, and frailty.

Indexed as

Bidirectional Mendelian RandomizationFallsFractureFrailtyLD score regressionMultivariable Mendelian Randomization

Identifiers

PMID37745316
PMCPMC10516081

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.