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New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis. / Belonogova, Nadezhda M.; Елгаева, Елизавета Евгеньевна; Zorkoltseva, Irina V. и др.

в: European journal of human genetics, Том 32, № S2, EP17.011, 2024, стр. 1177.

Результаты исследований: Научные публикации в периодических изданияхстатья по материалам конференцииРецензирование

Harvard

Belonogova, NM, Елгаева, ЕЕ, Zorkoltseva, IV, Kirichenko, A, Svishcheva, GR, Freidin, MB, Williams, FMK, Suri, P, Axenovich, TI & Цепилов, ЯА 2024, 'New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis', European journal of human genetics, Том. 32, № S2, EP17.011, стр. 1177.

APA

Belonogova, N. M., Елгаева, Е. Е., Zorkoltseva, I. V., Kirichenko, A., Svishcheva, G. R., Freidin, M. B., Williams, F. M. K., Suri, P., Axenovich, T. I., & Цепилов, Я. А. (2024). New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis. European journal of human genetics, 32(S2), 1177. [EP17.011].

Vancouver

Belonogova NM, Елгаева ЕЕ, Zorkoltseva IV, Kirichenko A, Svishcheva GR, Freidin MB и др. New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis. European journal of human genetics. 2024;32(S2):1177. EP17.011.

Author

Belonogova, Nadezhda M. ; Елгаева, Елизавета Евгеньевна ; Zorkoltseva, Irina V. и др. / New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis. в: European journal of human genetics. 2024 ; Том 32, № S2. стр. 1177.

BibTeX

@article{4a2bf28e309d415eb2ef54b31f8deec4,
title = "New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis",
abstract = "Background/Objectives: Back pain (BP) is a major contributor to disability worldwide. Three BP-related phenotypes: chronic BP (CBP), dorsalgia and intervertebral disc disorders (IDD), have heritability estimated at 40-60%. Less than half of the heritability is explained by common genetic variants identified by GWAS. More powerful methods of statistical analysis may offer additional insight.Methods: Using multi-trait and imputed genotypes from the UK Biobank we performed a gene-based association analysis. A multi-trait analysis combining three BP-related phenotypes: CBP, dorsalgia, and IDD, was conducted using the SHAHER approach, which maximizes the heritability of the multi-trait phenotype.Results: We identified and replicated 16 genes associated with BP-related traits. Seven of the detected genes, namely, MIPOL1, PTPRC, RHOA, MAML3, JADE2, MLLT10, and RERG, were previously unreported. Several new genes have been previously detected as associated with traits genetically correlated with BP or included in pathways associated with BP. Our results verify the role of these genes in BP-related traits.Conclusion: Of 16 genes significantly associated with BP-related traits, 13 were detected on the multi-trait phenotype that is in accordance with high genetic correlation between BP-related traits.Grants: The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, the Russian Science Foundation (No. 22-15-20037) and Government of the Novosibirsk region grant, Versus Arthritis grant number 22467, NIH/NIAMS P30AR072572. This research has been conducted using the UK Biobank Resource under Applications #18219 and #59345.Conflict of Interest: None declared",
author = "Belonogova, {Nadezhda M.} and Елгаева, {Елизавета Евгеньевна} and Zorkoltseva, {Irina V.} and Anatoly Kirichenko and Svishcheva, {Gulnara R.} and Freidin, {Maxim B.} and Williams, {Frances M.K.} and Pradeep Suri and Axenovich, {Tatiana I.} and Цепилов, {Яков Александрович}",
note = " The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, the Russian Science Foundation (No. 22-15-20037) and Government of the Novosibirsk region grant, Versus Arthritis grant number 22467, NIH/NIAMS P30AR072572. This research has been conducted using the UK Biobank Resource under Applications #18219 and #59345.; 57th European Society of Human Genetics Conference, ESHG ; Conference date: 01-06-2024 Through 04-06-2024",
year = "2024",
language = "English",
volume = "32",
pages = "1177",
journal = "European journal of human genetics",
issn = "1018-4813",
publisher = "Nature Publishing Group",
number = "S2",

}

RIS

TY - JOUR

T1 - New genes for back pain-related phenotypes identified by multi-trait gene-based association analysis

AU - Belonogova, Nadezhda M.

AU - Елгаева, Елизавета Евгеньевна

AU - Zorkoltseva, Irina V.

AU - Kirichenko, Anatoly

AU - Svishcheva, Gulnara R.

AU - Freidin, Maxim B.

AU - Williams, Frances M.K.

AU - Suri, Pradeep

AU - Axenovich, Tatiana I.

AU - Цепилов, Яков Александрович

N1 - Conference code: 57

PY - 2024

Y1 - 2024

N2 - Background/Objectives: Back pain (BP) is a major contributor to disability worldwide. Three BP-related phenotypes: chronic BP (CBP), dorsalgia and intervertebral disc disorders (IDD), have heritability estimated at 40-60%. Less than half of the heritability is explained by common genetic variants identified by GWAS. More powerful methods of statistical analysis may offer additional insight.Methods: Using multi-trait and imputed genotypes from the UK Biobank we performed a gene-based association analysis. A multi-trait analysis combining three BP-related phenotypes: CBP, dorsalgia, and IDD, was conducted using the SHAHER approach, which maximizes the heritability of the multi-trait phenotype.Results: We identified and replicated 16 genes associated with BP-related traits. Seven of the detected genes, namely, MIPOL1, PTPRC, RHOA, MAML3, JADE2, MLLT10, and RERG, were previously unreported. Several new genes have been previously detected as associated with traits genetically correlated with BP or included in pathways associated with BP. Our results verify the role of these genes in BP-related traits.Conclusion: Of 16 genes significantly associated with BP-related traits, 13 were detected on the multi-trait phenotype that is in accordance with high genetic correlation between BP-related traits.Grants: The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, the Russian Science Foundation (No. 22-15-20037) and Government of the Novosibirsk region grant, Versus Arthritis grant number 22467, NIH/NIAMS P30AR072572. This research has been conducted using the UK Biobank Resource under Applications #18219 and #59345.Conflict of Interest: None declared

AB - Background/Objectives: Back pain (BP) is a major contributor to disability worldwide. Three BP-related phenotypes: chronic BP (CBP), dorsalgia and intervertebral disc disorders (IDD), have heritability estimated at 40-60%. Less than half of the heritability is explained by common genetic variants identified by GWAS. More powerful methods of statistical analysis may offer additional insight.Methods: Using multi-trait and imputed genotypes from the UK Biobank we performed a gene-based association analysis. A multi-trait analysis combining three BP-related phenotypes: CBP, dorsalgia, and IDD, was conducted using the SHAHER approach, which maximizes the heritability of the multi-trait phenotype.Results: We identified and replicated 16 genes associated with BP-related traits. Seven of the detected genes, namely, MIPOL1, PTPRC, RHOA, MAML3, JADE2, MLLT10, and RERG, were previously unreported. Several new genes have been previously detected as associated with traits genetically correlated with BP or included in pathways associated with BP. Our results verify the role of these genes in BP-related traits.Conclusion: Of 16 genes significantly associated with BP-related traits, 13 were detected on the multi-trait phenotype that is in accordance with high genetic correlation between BP-related traits.Grants: The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, the Russian Science Foundation (No. 22-15-20037) and Government of the Novosibirsk region grant, Versus Arthritis grant number 22467, NIH/NIAMS P30AR072572. This research has been conducted using the UK Biobank Resource under Applications #18219 and #59345.Conflict of Interest: None declared

UR - https://www.nature.com/articles/s41431-024-01733-5

M3 - Conference article

VL - 32

SP - 1177

JO - European journal of human genetics

JF - European journal of human genetics

SN - 1018-4813

IS - S2

M1 - EP17.011

T2 - 57th European Society of Human Genetics Conference

Y2 - 1 June 2024 through 4 June 2024

ER -

ID: 67765782