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Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes
Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40–60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606006/ https://www.ncbi.nlm.nih.gov/pubmed/37895311 http://dx.doi.org/10.3390/genes14101962 |
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author | Zorkoltseva, Irina V. Elgaeva, Elizaveta E. Belonogova, Nadezhda M. Kirichenko, Anatoliy V. Svishcheva, Gulnara R. Freidin, Maxim B. Williams, Frances M. K. Suri, Pradeep Tsepilov, Yakov A. Axenovich, Tatiana I. |
author_facet | Zorkoltseva, Irina V. Elgaeva, Elizaveta E. Belonogova, Nadezhda M. Kirichenko, Anatoliy V. Svishcheva, Gulnara R. Freidin, Maxim B. Williams, Frances M. K. Suri, Pradeep Tsepilov, Yakov A. Axenovich, Tatiana I. |
author_sort | Zorkoltseva, Irina V. |
collection | PubMed |
description | Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40–60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may offer additional insight. This study utilized exome sequencing data from the UK Biobank to perform a multi-trait gene-based association analysis of three BP-related phenotypes: chronic back pain, dorsalgia, and intervertebral disc disorder. We identified the SLC13A1 gene as a contributor to chronic back pain via loss-of-function (LoF) and missense variants. This gene has been previously detected in two studies. A multi-trait approach uncovered the novel FSCN3 gene and its impact on back pain through LoF variants. This gene deserves attention because it is only the second gene shown to have an effect on back pain due to LoF variants and represents a promising drug target for back pain therapy. |
format | Online Article Text |
id | pubmed-10606006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106060062023-10-28 Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes Zorkoltseva, Irina V. Elgaeva, Elizaveta E. Belonogova, Nadezhda M. Kirichenko, Anatoliy V. Svishcheva, Gulnara R. Freidin, Maxim B. Williams, Frances M. K. Suri, Pradeep Tsepilov, Yakov A. Axenovich, Tatiana I. Genes (Basel) Article Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40–60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may offer additional insight. This study utilized exome sequencing data from the UK Biobank to perform a multi-trait gene-based association analysis of three BP-related phenotypes: chronic back pain, dorsalgia, and intervertebral disc disorder. We identified the SLC13A1 gene as a contributor to chronic back pain via loss-of-function (LoF) and missense variants. This gene has been previously detected in two studies. A multi-trait approach uncovered the novel FSCN3 gene and its impact on back pain through LoF variants. This gene deserves attention because it is only the second gene shown to have an effect on back pain due to LoF variants and represents a promising drug target for back pain therapy. MDPI 2023-10-19 /pmc/articles/PMC10606006/ /pubmed/37895311 http://dx.doi.org/10.3390/genes14101962 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zorkoltseva, Irina V. Elgaeva, Elizaveta E. Belonogova, Nadezhda M. Kirichenko, Anatoliy V. Svishcheva, Gulnara R. Freidin, Maxim B. Williams, Frances M. K. Suri, Pradeep Tsepilov, Yakov A. Axenovich, Tatiana I. Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title | Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title_full | Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title_fullStr | Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title_full_unstemmed | Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title_short | Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes |
title_sort | multi-trait exome-wide association study of back pain-related phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606006/ https://www.ncbi.nlm.nih.gov/pubmed/37895311 http://dx.doi.org/10.3390/genes14101962 |
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