Genetic overlap of chronic pain, musculoskeletal‐specific pain, substance use disorders and substance use consumption: Common addiction and substance‐specific effects.
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| Title: | Genetic overlap of chronic pain, musculoskeletal‐specific pain, substance use disorders and substance use consumption: Common addiction and substance‐specific effects. |
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| Authors: | Rader, Lydia, Zorina‐Lichtenwalter, Katerina, Hatoum, Alexander S., Stallings, Michael C., Wager, Tor D., Friedman, Naomi P. |
| Source: | Addiction. Jul2026, Vol. 121 Issue 7, p1683-1698. 16p. |
| Subjects: | Substance abuse, Cross-sectional method, Pain measurement, Chronic pain, Musculoskeletal pain, Research funding, Genomics, Compulsive behavior, Genome-wide association studies, Musculoskeletal system diseases, Smoking, Structural equation modeling, Descriptive statistics, Chi-squared test, Uk Biobank Ltd., RNA, Alcohol-induced disorders, Neurobiology, Narcotics, Opioid analgesics, Data analysis software, Alcoholism, Tobacco products, Cannabis (Genus), Disease susceptibility, Confidence intervals, Alcohol drinking, Phenotypes, Sequence analysis |
| Geographic Terms: | United States, Europe |
| Abstract: | Background and aims: Chronic pain and substance use disorders frequently co‐occur and may share general addiction‐related and substance‐specific genetic pathways. Additionally, substance consumption and problematic use may differ in their genetic associations with pain subtypes. We applied genomic structural equation modeling to assess shared genetic and neurological enrichment between general and musculoskeletal‐specific chronic pain to general addiction liability, substance use disorder‐specific risk and substance use. Design: Cross‐trait genomic structural equation modeling using genome‐wide association study (GWAS) summary statistics from large‐scale global consortia. Setting: Data were aggregated from international research collaborations and biobanks in the United States and Europe. Participants: Participants were individuals (n = 63 982 to 2 428 851) with European‐like ancestry from population‐based and clinical cohorts. Measurements: We analyzed a General Chronic Pain factor from 24 chronic pain GWASs and a Musculoskeletal‐specific Pain factor from 11 overlapping conditions. We constructed an Addiction factor from GWASs of alcohol, tobacco, cannabis and opioid use disorders, and partitioned out substance‐specific genetic risk. We used alcohol and smoking consumption GWASs to distinguish use from problematic use. We applied molecular neurological annotations to assess brain cell type enrichment in shared genetic effects. Findings The Addiction factor was genetically correlated with General Chronic Pain [genetic correlation (rg)_ = 0.448, false discovery rate (FDR)‐corrected P < 0.001, 95% confidence interval (95% CI) = 0.40, 0.49], but not with Musculoskeletal‐specific Pain (rg = 0.001, FDR‐corrected P = 0.998, 95% CI = −0.07 to 0.07). Controlling for Addiction, General Pain had substance‐specific associations: negative correlations with Problematic Alcohol Use (rg = −0.155, FDR‐corrected P = 0.049, 95% CI = −0.28 to −0.02) and Alcohol Frequency (rg = −0.334, FDR‐corrected P < 0.001, 95% CI = −0.46 to −0.21), and a positive correlation with Cigarette Frequency (rg = 0.274, FDR‐corrected P < 0.001, 95% CI = 0.21, 0.34). Musculoskeletal‐specific Pain positively associated with Tobacco Use Disorder (rg = 0.186, FDR‐corrected P = 0.020, 95% CI = 0.05, 0.32) and Alcohol Frequency (rg = 0.161, FDR‐corrected P = 0.049, 95% CI = 0.02, 0.30). General Pain related to Cannabis Use Disorder and Opioid Use Disorder entirely through the Addiction factor. Shared genetic components were enriched in excitatory and inhibitory neurons, glia and endothelial cells. Conclusions: General chronic pain appears to share substantial genetic overlap and neuronal enrichment with addiction risk and shows distinct associations with problematic alcohol use, alcohol consumption and cigarette use, reflecting both a broad transdiagnostic mechanism as well as substance‐specific paths. In contrast, musculoskeletal‐specific pain appears to be more narrowly linked to tobacco use disorder and alcohol use frequency, but not to general addiction liability. [ABSTRACT FROM AUTHOR] |
| Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194810808 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genetic overlap of chronic pain, musculoskeletal‐specific pain, substance use disorders and substance use consumption: Common addiction and substance‐specific effects. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rader%2C+Lydia%22">Rader, Lydia</searchLink><br /><searchLink fieldCode="AR" term="%22Zorina‐Lichtenwalter%2C+Katerina%22">Zorina‐Lichtenwalter, Katerina</searchLink><br /><searchLink fieldCode="AR" term="%22Hatoum%2C+Alexander+S%2E%22">Hatoum, Alexander S.</searchLink><br /><searchLink fieldCode="AR" term="%22Stallings%2C+Michael+C%2E%22">Stallings, Michael C.</searchLink><br /><searchLink fieldCode="AR" term="%22Wager%2C+Tor+D%2E%22">Wager, Tor D.</searchLink><br /><searchLink fieldCode="AR" term="%22Friedman%2C+Naomi+P%2E%22">Friedman, Naomi P.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Addiction%22">Addiction</searchLink>. Jul2026, Vol. 121 Issue 7, p1683-1698. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Pain+measurement%22">Pain measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Chronic+pain%22">Chronic pain</searchLink><br /><searchLink fieldCode="DE" term="%22Musculoskeletal+pain%22">Musculoskeletal pain</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Genomics%22">Genomics</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior%22">Compulsive behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Genome-wide+association+studies%22">Genome-wide association studies</searchLink><br /><searchLink fieldCode="DE" term="%22Musculoskeletal+system+diseases%22">Musculoskeletal system diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking%22">Smoking</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Uk+Biobank+Ltd%2E%22">Uk Biobank Ltd.</searchLink><br /><searchLink fieldCode="DE" term="%22RNA%22">RNA</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol-induced+disorders%22">Alcohol-induced disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Neurobiology%22">Neurobiology</searchLink><br /><searchLink fieldCode="DE" term="%22Narcotics%22">Narcotics</searchLink><br /><searchLink fieldCode="DE" term="%22Opioid+analgesics%22">Opioid analgesics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Alcoholism%22">Alcoholism</searchLink><br /><searchLink fieldCode="DE" term="%22Tobacco+products%22">Tobacco products</searchLink><br /><searchLink fieldCode="DE" term="%22Cannabis+%28Genus%29%22">Cannabis (Genus)</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+susceptibility%22">Disease susceptibility</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Sequence+analysis%22">Sequence analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink><br /><searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background and aims: Chronic pain and substance use disorders frequently co‐occur and may share general addiction‐related and substance‐specific genetic pathways. Additionally, substance consumption and problematic use may differ in their genetic associations with pain subtypes. We applied genomic structural equation modeling to assess shared genetic and neurological enrichment between general and musculoskeletal‐specific chronic pain to general addiction liability, substance use disorder‐specific risk and substance use. Design: Cross‐trait genomic structural equation modeling using genome‐wide association study (GWAS) summary statistics from large‐scale global consortia. Setting: Data were aggregated from international research collaborations and biobanks in the United States and Europe. Participants: Participants were individuals (n = 63 982 to 2 428 851) with European‐like ancestry from population‐based and clinical cohorts. Measurements: We analyzed a General Chronic Pain factor from 24 chronic pain GWASs and a Musculoskeletal‐specific Pain factor from 11 overlapping conditions. We constructed an Addiction factor from GWASs of alcohol, tobacco, cannabis and opioid use disorders, and partitioned out substance‐specific genetic risk. We used alcohol and smoking consumption GWASs to distinguish use from problematic use. We applied molecular neurological annotations to assess brain cell type enrichment in shared genetic effects. Findings The Addiction factor was genetically correlated with General Chronic Pain [genetic correlation (rg)_ = 0.448, false discovery rate (FDR)‐corrected P < 0.001, 95% confidence interval (95% CI) = 0.40, 0.49], but not with Musculoskeletal‐specific Pain (rg = 0.001, FDR‐corrected P = 0.998, 95% CI = −0.07 to 0.07). Controlling for Addiction, General Pain had substance‐specific associations: negative correlations with Problematic Alcohol Use (rg = −0.155, FDR‐corrected P = 0.049, 95% CI = −0.28 to −0.02) and Alcohol Frequency (rg = −0.334, FDR‐corrected P < 0.001, 95% CI = −0.46 to −0.21), and a positive correlation with Cigarette Frequency (rg = 0.274, FDR‐corrected P < 0.001, 95% CI = 0.21, 0.34). Musculoskeletal‐specific Pain positively associated with Tobacco Use Disorder (rg = 0.186, FDR‐corrected P = 0.020, 95% CI = 0.05, 0.32) and Alcohol Frequency (rg = 0.161, FDR‐corrected P = 0.049, 95% CI = 0.02, 0.30). General Pain related to Cannabis Use Disorder and Opioid Use Disorder entirely through the Addiction factor. Shared genetic components were enriched in excitatory and inhibitory neurons, glia and endothelial cells. Conclusions: General chronic pain appears to share substantial genetic overlap and neuronal enrichment with addiction risk and shows distinct associations with problematic alcohol use, alcohol consumption and cigarette use, reflecting both a broad transdiagnostic mechanism as well as substance‐specific paths. In contrast, musculoskeletal‐specific pain appears to be more narrowly linked to tobacco use disorder and alcohol use frequency, but not to general addiction liability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/add.70387 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1683 Subjects: – SubjectFull: Substance abuse Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Pain measurement Type: general – SubjectFull: Chronic pain Type: general – SubjectFull: Musculoskeletal pain Type: general – SubjectFull: Research funding Type: general – SubjectFull: Genomics Type: general – SubjectFull: Compulsive behavior Type: general – SubjectFull: Genome-wide association studies Type: general – SubjectFull: Musculoskeletal system diseases Type: general – SubjectFull: Smoking Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Uk Biobank Ltd. Type: general – SubjectFull: RNA Type: general – SubjectFull: Alcohol-induced disorders Type: general – SubjectFull: Neurobiology Type: general – SubjectFull: Narcotics Type: general – SubjectFull: Opioid analgesics Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Alcoholism Type: general – SubjectFull: Tobacco products Type: general – SubjectFull: Cannabis (Genus) Type: general – SubjectFull: Disease susceptibility Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Alcohol drinking Type: general – SubjectFull: Phenotypes Type: general – SubjectFull: Sequence analysis Type: general – SubjectFull: United States Type: general – SubjectFull: Europe Type: general Titles: – TitleFull: Genetic overlap of chronic pain, musculoskeletal‐specific pain, substance use disorders and substance use consumption: Common addiction and substance‐specific effects. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rader, Lydia – PersonEntity: Name: NameFull: Zorina‐Lichtenwalter, Katerina – PersonEntity: Name: NameFull: Hatoum, Alexander S. – PersonEntity: Name: NameFull: Stallings, Michael C. – PersonEntity: Name: NameFull: Wager, Tor D. – PersonEntity: Name: NameFull: Friedman, Naomi P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09652140 Numbering: – Type: volume Value: 121 – Type: issue Value: 7 Titles: – TitleFull: Addiction Type: main |
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