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Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain
Chronic back pain (CBP) is a complex heritable trait and a major cause of disability worldwide. We developed and validated a genome-wide polygenic risk score (PRS) for CBP using a large-scale GWAS based on UK Biobank participants of European ancestry (N = 265,000). The PRS showed poor overall predic...
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/PMC10304922/ https://www.ncbi.nlm.nih.gov/pubmed/37373966 http://dx.doi.org/10.3390/jpm13060977 |
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author | Tsepilov, Yakov A. Elgaeva, Elizaveta E. Nostaeva, Arina V. Compte, Roger Kuznetsov, Ivan A. Karssen, Lennart C. Freidin, Maxim B. Suri, Pradeep Williams, Frances M. K. Aulchenko, Yurii S. |
author_facet | Tsepilov, Yakov A. Elgaeva, Elizaveta E. Nostaeva, Arina V. Compte, Roger Kuznetsov, Ivan A. Karssen, Lennart C. Freidin, Maxim B. Suri, Pradeep Williams, Frances M. K. Aulchenko, Yurii S. |
author_sort | Tsepilov, Yakov A. |
collection | PubMed |
description | Chronic back pain (CBP) is a complex heritable trait and a major cause of disability worldwide. We developed and validated a genome-wide polygenic risk score (PRS) for CBP using a large-scale GWAS based on UK Biobank participants of European ancestry (N = 265,000). The PRS showed poor overall predictive ability (AUC = 0.56 and OR = 1.24 per SD, 95% CI: 1.22–1.26), but individuals from the 99th percentile of PRS distribution had a nearly two-fold increased risk of CBP (OR = 1.82, 95% CI: 1.60–2.06). We validated the PRS on an independent TwinsUK sample, obtaining a similar magnitude of effect. The PRS was significantly associated with various ICD-10 and OPCS-4 diagnostic codes, including chronic ischemic heart disease (OR = 1.1, p-value = 4.8 × 10(−15)), obesity, metabolism-related traits, spine disorders, disc degeneration, and arthritis-related disorders. PRS and environment interaction analysis with twelve known CBP risk factors revealed no significant results, suggesting that the magnitude of G × E interactions with studied factors is small. The limited predictive ability of the PRS that we developed is likely explained by the complexity, heterogeneity, and polygenicity of CBP, for which sample sizes of a few hundred thousand are insufficient to estimate small genetic effects robustly. |
format | Online Article Text |
id | pubmed-10304922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103049222023-06-29 Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain Tsepilov, Yakov A. Elgaeva, Elizaveta E. Nostaeva, Arina V. Compte, Roger Kuznetsov, Ivan A. Karssen, Lennart C. Freidin, Maxim B. Suri, Pradeep Williams, Frances M. K. Aulchenko, Yurii S. J Pers Med Article Chronic back pain (CBP) is a complex heritable trait and a major cause of disability worldwide. We developed and validated a genome-wide polygenic risk score (PRS) for CBP using a large-scale GWAS based on UK Biobank participants of European ancestry (N = 265,000). The PRS showed poor overall predictive ability (AUC = 0.56 and OR = 1.24 per SD, 95% CI: 1.22–1.26), but individuals from the 99th percentile of PRS distribution had a nearly two-fold increased risk of CBP (OR = 1.82, 95% CI: 1.60–2.06). We validated the PRS on an independent TwinsUK sample, obtaining a similar magnitude of effect. The PRS was significantly associated with various ICD-10 and OPCS-4 diagnostic codes, including chronic ischemic heart disease (OR = 1.1, p-value = 4.8 × 10(−15)), obesity, metabolism-related traits, spine disorders, disc degeneration, and arthritis-related disorders. PRS and environment interaction analysis with twelve known CBP risk factors revealed no significant results, suggesting that the magnitude of G × E interactions with studied factors is small. The limited predictive ability of the PRS that we developed is likely explained by the complexity, heterogeneity, and polygenicity of CBP, for which sample sizes of a few hundred thousand are insufficient to estimate small genetic effects robustly. MDPI 2023-06-10 /pmc/articles/PMC10304922/ /pubmed/37373966 http://dx.doi.org/10.3390/jpm13060977 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 Tsepilov, Yakov A. Elgaeva, Elizaveta E. Nostaeva, Arina V. Compte, Roger Kuznetsov, Ivan A. Karssen, Lennart C. Freidin, Maxim B. Suri, Pradeep Williams, Frances M. K. Aulchenko, Yurii S. Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title | Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title_full | Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title_fullStr | Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title_full_unstemmed | Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title_short | Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain |
title_sort | development and replication of a genome-wide polygenic risk score for chronic back pain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304922/ https://www.ncbi.nlm.nih.gov/pubmed/37373966 http://dx.doi.org/10.3390/jpm13060977 |
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