TY - JOUR
T1 - A multi-trait approach identified 7 novel genes for back pain
AU - Belonogova, Nadezhda M
AU - Elgaeva, Elizaveta E
AU - Zorkoltseva, Irina V
AU - Kirichenko, Anatoliy V
AU - Svishcheva, Gulnara R
AU - Freidin, Maxim B
AU - Williams, Frances M K
AU - Suri, Pradeep
AU - Axenovich, Tatiana I
AU - Tsepilov, Yakov A
N1 - Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.
PY - 2025/2
Y1 - 2025/2
N2 - 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,
MIPOL1,
PTPRC,
RHOA,
MAML3,
JADE2,
MLLT10, and
RERG, 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.
AB - 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,
MIPOL1,
PTPRC,
RHOA,
MAML3,
JADE2,
MLLT10, and
RERG, 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.
UR - http://www.scopus.com/inward/record.url?scp=85214491999&partnerID=8YFLogxK
U2 - 10.1097/PR9.0000000000001218
DO - 10.1097/PR9.0000000000001218
M3 - Article
C2 - 39726856
SN - 2471-2531
VL - 10
SP - e1218
JO - Pain Reports
JF - Pain Reports
IS - 1
M1 - e1218
ER -