Journal Article Epublish 1 citation
PubMed: 39726856 DOI: 10.1097/PR9.0000000000001218
A multi-trait approach identified 7 novel genes for back pain.
Pain Rep 10(1):e1218
Authors: Nadezhda M Belonogova, Elizaveta E Elgaeva, Irina V Zorkoltseva, Anatoliy V Kirichenko, Gulnara R Svishcheva, Maxim B Freidin, Frances M K Williams, Pradeep Suri, Tatiana I Axenovich, Yakov A Tsepilov
Affiliations
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia.
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia.
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA, USA.
- Division of Rehabilitation Care Services, Seattle, WA, USA.
- Clinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA, USA.
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
- Kurchatov Genomics Center, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
Abstract
Introduction
Back pain (BP) is a complex heritable trait with an estimated heritability of 40% to 60%. Less than half of this can be explained by known genetic variants identified in genome-wide association studies.
Objectives
We applied a powerful multi-trait and gene-based approach to association analysis of BP to identify novel genes associated with BP.
Methods
Using phenotypes and imputed genotypes from the UK Biobank 500k dataset, we generated a multi-trait phenotype by combining 3 BP-related phenotypes: chronic BP, dorsalgia, and intervertebral disk disorders. We performed gene-based association analysis for 3 BP-related phenotypes and multi-trait phenotype. Conditional analysis was applied to account for the effects of genetic variants outside the gene. Finally, we replicated significantly associated genes using the FinnGen database.
Results
We identified 32 genes associated with BP and replicated 16 of them. Thirteen genes were detected using the multi-trait phenotype. Seven of the detected genes, , , , , , , and , were not previously reported. Several new genes are known to be associated with traits genetically correlated with BP or to be involved in pathways associated with BP.
Conclusion
Using new powerful methods of association analysis, we identified 7 novel genes associated with BP. Our results provide new insights into the genetics of back pain.
MeSH
Genes, Pain, Phenotype, Multiple Chronic Conditions, Back Pain