Evidence map›Paper›PMID 42516085›Full record

ArticlePsychological medicine2026

Brain imaging-wide exploration of site-specific pain: genetic correlation and Mendelian randomization study.

Weian Mao, Peipei Ye, Shuwei Wang, Mengchun Chen, Haiying Lv, Shuai Yuan, Fuhua Yan, Lili Yang

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Article in Psychological medicine, 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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5 · Who and what money

Authors and funding

8 authors.

Weian MaoDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, China.
Peipei YeDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, China.
Shuwei WangDepartment of Anesthesia, Zhongshan Hospital, Fudan University, China.
Mengchun ChenDepartment of Pharmacy, The Second Affiliated Hospital of Wenzhou Medical University, China.
Haiying LvDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China.
Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, China.
Fuhua YanDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China.
Lili YangDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China.ORCID 0000-0001-5280-4375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational studies have suggested that brain imaging-derived phenotypes (IDPs) may serve as specific markers of pain-related phenotypes and severity. However, the shared genetic architecture between pain and brain IDPs and their potential causal relationships remains unclear.

methodsWe applied linkage disequilibrium score regression and Mendelian randomization (MR) analyses to uncover genetic correlations and potential causal links of brain structural (33,224 UK Biobank participants) and functional (47,276 UK Biobank participants) changes with site-specific pain phenotypes (approximately 500,000 Finngen participants). The scoping literature review was conducted to compare current findings with previous observational studies.

resultsIn this study, we identified 559 significant genetic correlations between 587 structural IDPs and 13 pain-related phenotypes. Using MR analyses, we found that genetic liability to headache, migraine, joint pain, and sciatica was causally associated with alterations in 15 structural IDPs. Additionally, changes in the surface area of three brain regions were linked to a lower risk of sciatica, low back pain, and overall pain. Among the six pain-related phenotypes associated with structural IDPs, further analyses demonstrated putative causal relationships between functional IDPs and these conditions. Notably, headache exhibited both significant structural and functional changes across three key brain regions: the superior frontal gyrus, lingual gyrus, and paracentral lobule.

conclusionsThese findings provide novel insights into the genetic correlations and genetically inferred associations between pain and neurobiological abnormalities from neuroimaging perspectives, with structural alterations as the primary findings and functional changes as complementary exploratory evidence, advancing the understanding of pain-related mechanisms.

Indexed as

BrainPainFemaleGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedNeuroimagingPhenotypebrain structure and functionMendelian randomizationneuroimagingpain

Identifiers

PMID42516085
PMCPMC13439259

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