Standard

Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain. / Zorkoltseva, Irina V.; Елгаева, Елизавета Евгеньевна; Kirichenko, Anatoly et al.

In: European journal of human genetics, Vol. 32, No. S1, EP25.005, 01.2024, p. 345.

Research output: Contribution to journalConference articlepeer-review

Harvard

Zorkoltseva, IV, Елгаева, ЕЕ, Kirichenko, A, Belonogova, NM, Svishcheva, GR, Цепилов, ЯА & Axenovich, TI 2024, 'Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain', European journal of human genetics, vol. 32, no. S1, EP25.005, pp. 345.

APA

Zorkoltseva, I. V., Елгаева, Е. Е., Kirichenko, A., Belonogova, N. M., Svishcheva, G. R., Цепилов, Я. А., & Axenovich, T. I. (2024). Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain. European journal of human genetics, 32(S1), 345. [EP25.005].

Vancouver

Zorkoltseva IV, Елгаева ЕЕ, Kirichenko A, Belonogova NM, Svishcheva GR, Цепилов ЯА et al. Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain. European journal of human genetics. 2024 Jan;32(S1):345. EP25.005.

Author

Zorkoltseva, Irina V. ; Елгаева, Елизавета Евгеньевна ; Kirichenko, Anatoly et al. / Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain. In: European journal of human genetics. 2024 ; Vol. 32, No. S1. pp. 345.

BibTeX

@article{8ca95cd6ed8449e9937f71a772e325a2,
title = "Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain",
abstract = "Background: Back pain is the leading cause of disability-related years lived worldwide. Its heritability has been estimated at 40–60%, with half attributed to common genetic variants. Rare and ultra-rare variants are expected to provide additional explanations for missing heritability. In this study, we estimated for the first time the impact of rare and ultra-rare variants on chronic back pain (CBP).Methods: CBP was defined as back pain lasting more than 3 months. Using UK Biobank exome sequencing data (N = 179,000), we performed a gene-based association study including only variants with MAF ≤ 0.01. Ultra-rare variants with MAC ≤ 10 were collapsed and considered as a single variant, which was then used together with all other variants for gene-based association analysis. Four sets of within-gene variants with specific protein-coding properties were used in the analysis.Results: We detected a significant association between CBP and SLC13A1 (p-value = 2.50 × 10-6). The signal was obtained for LoF+missense variants. A rare LoF variant of SLC13A1 has recently been identified as being responsible for another back pain trait, intervertebral disc disorder [Bjornsdottir et al., 2022].Conclusion: We replicated the association between back pain and SLC13A1 and showed that the gene effect on back pain can be explained by both LoF and rare missense variants.Grant References: The study was conducted using the UK Biobank resource. The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, Russian Science Foundation (RSF) No.22-15-20037 and Government of the Novosibirsk region, RSF No.23-25-00209.",
author = "Zorkoltseva, {Irina V.} and Елгаева, {Елизавета Евгеньевна} and Anatoly Kirichenko and Belonogova, {Nadezhda M.} and Svishcheva, {Gulnara R.} and Цепилов, {Яков Александрович} and Axenovich, {Tatiana I.}",
note = "The study was conducted using the UK Biobank resource. The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, Russian Science Foundation (RSF) No.22-15-20037 and Government of the Novosibirsk region, RSF No.23-25-00209.; 56th Annual Conference of the European-Society-of-Human-Genetics (ESHG) ; Conference date: 10-06-2023 Through 13-06-2023",
year = "2024",
month = jan,
language = "English",
volume = "32",
pages = "345",
journal = "European journal of human genetics",
issn = "1018-4813",
publisher = "Nature Publishing Group",
number = "S1",

}

RIS

TY - JOUR

T1 - Exome sequencing association analysis replicated the role of rare variants of SLC13A1 in back pain

AU - Zorkoltseva, Irina V.

AU - Елгаева, Елизавета Евгеньевна

AU - Kirichenko, Anatoly

AU - Belonogova, Nadezhda M.

AU - Svishcheva, Gulnara R.

AU - Цепилов, Яков Александрович

AU - Axenovich, Tatiana I.

N1 - Conference code: 56

PY - 2024/1

Y1 - 2024/1

N2 - Background: Back pain is the leading cause of disability-related years lived worldwide. Its heritability has been estimated at 40–60%, with half attributed to common genetic variants. Rare and ultra-rare variants are expected to provide additional explanations for missing heritability. In this study, we estimated for the first time the impact of rare and ultra-rare variants on chronic back pain (CBP).Methods: CBP was defined as back pain lasting more than 3 months. Using UK Biobank exome sequencing data (N = 179,000), we performed a gene-based association study including only variants with MAF ≤ 0.01. Ultra-rare variants with MAC ≤ 10 were collapsed and considered as a single variant, which was then used together with all other variants for gene-based association analysis. Four sets of within-gene variants with specific protein-coding properties were used in the analysis.Results: We detected a significant association between CBP and SLC13A1 (p-value = 2.50 × 10-6). The signal was obtained for LoF+missense variants. A rare LoF variant of SLC13A1 has recently been identified as being responsible for another back pain trait, intervertebral disc disorder [Bjornsdottir et al., 2022].Conclusion: We replicated the association between back pain and SLC13A1 and showed that the gene effect on back pain can be explained by both LoF and rare missense variants.Grant References: The study was conducted using the UK Biobank resource. The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, Russian Science Foundation (RSF) No.22-15-20037 and Government of the Novosibirsk region, RSF No.23-25-00209.

AB - Background: Back pain is the leading cause of disability-related years lived worldwide. Its heritability has been estimated at 40–60%, with half attributed to common genetic variants. Rare and ultra-rare variants are expected to provide additional explanations for missing heritability. In this study, we estimated for the first time the impact of rare and ultra-rare variants on chronic back pain (CBP).Methods: CBP was defined as back pain lasting more than 3 months. Using UK Biobank exome sequencing data (N = 179,000), we performed a gene-based association study including only variants with MAF ≤ 0.01. Ultra-rare variants with MAC ≤ 10 were collapsed and considered as a single variant, which was then used together with all other variants for gene-based association analysis. Four sets of within-gene variants with specific protein-coding properties were used in the analysis.Results: We detected a significant association between CBP and SLC13A1 (p-value = 2.50 × 10-6). The signal was obtained for LoF+missense variants. A rare LoF variant of SLC13A1 has recently been identified as being responsible for another back pain trait, intervertebral disc disorder [Bjornsdottir et al., 2022].Conclusion: We replicated the association between back pain and SLC13A1 and showed that the gene effect on back pain can be explained by both LoF and rare missense variants.Grant References: The study was conducted using the UK Biobank resource. The work was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020, Russian Science Foundation (RSF) No.22-15-20037 and Government of the Novosibirsk region, RSF No.23-25-00209.

UR - https://www.nature.com/articles/s41431-023-01481-y

M3 - Conference article

VL - 32

SP - 345

JO - European journal of human genetics

JF - European journal of human genetics

SN - 1018-4813

IS - S1

M1 - EP25.005

T2 - 56th Annual Conference of the European-Society-of-Human-Genetics (ESHG)

Y2 - 10 June 2023 through 13 June 2023

ER -

ID: 67752053