Research output: Contribution to journal › Conference article › peer-review
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 journal › Conference article › peer-review
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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