Back

Multi-ancestral genome-wide study of chronic pain reveals widespread genetic correlations with mental and physical health traits

Romero Villela, P. N.; Balbona, J. V.; Sarabudla, N.; Hatoum, A. S.; Haroutounian, S.; Agrawal, A.; Johnson, E. C.

2025-09-30 genetic and genomic medicine
10.1101/2025.09.29.25336894 medRxiv
Show abstract

Chronic pain (CP) is a debilitating condition that impacts an individuals physical and mental health. CP is common, affecting around 12-40% of individuals across the world. In this study, we conducted a genome-wide association study (GWAS) of lifetime incidence of CP in the All of Us Research Program, across six different ancestries in the United States (total Ncase = 137 043, total Ncontrol = 154 038). We found one genome-wide significant locus in the cross-ancestry meta-analysis on chromosome 5 (lead SNP: rs1196962975, p = 4.53E-08). Additionally, one locus on chromosome 11 (lead SNP: rs5795684) reached genome-wide significance in the admixed genetic ancestry sample (p = 1.13E-08). Cross-ancestry genetic correlations ranged from 0.40 - 0.78. CP was genetically correlated with a range of psychiatric, physical health, and immune traits, including anxiety (rg = 0.69, p = 1.82E-69), generalized addiction risk (rg = 0.39, p = 1.98E-18), and increased serum C-reactive protein levels (rg = 0.35, p = 5.28E-22). This study represents the largest cross-ancestral investigation of the genetics of lifetime incidence of chronic pain to date and demonstrates shared genetic effects between chronic pain and psychiatric disorders and other physical health conditions. HighlightsO_LI48.8% of individuals were recorded as having a lifetime incidence of chronic pain. C_LIO_LIOne locus, rs5795684, was significant in individuals of admixed ancestry. C_LIO_LIOne additional locus, rs1196962975, was significant in a cross-ancestral meta-analysis. C_LIO_LIGenetic associations were enriched in brain areas such as the nucleus accumbens and amygdala. C_LIO_LIChronic pain was moderately to highly genetically correlated to other physical and psychiatric health traits. C_LI

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.