Cargando…

Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders

Muscle weakness is a common consequence of both aging (sarcopenia) and neuromuscular disorders (NMD). Whilst genome-wide association (GWA) studies have identified genetic variants associated with grip strength (GS; measure of muscle strength/weakness) and NMDs, including multiple sclerosis (MS), mya...

Descripción completa

Detalles Bibliográficos
Autores principales: Gokuladhas, Sreemol, Schierding, William, Cameron-Smith, David, Wake, Melissa, Scotter, Emma L., O’Sullivan, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194178/
https://www.ncbi.nlm.nih.gov/pubmed/32391060
http://dx.doi.org/10.3389/fgene.2020.00393
_version_ 1783528309827567616
author Gokuladhas, Sreemol
Schierding, William
Cameron-Smith, David
Wake, Melissa
Scotter, Emma L.
O’Sullivan, Justin
author_facet Gokuladhas, Sreemol
Schierding, William
Cameron-Smith, David
Wake, Melissa
Scotter, Emma L.
O’Sullivan, Justin
author_sort Gokuladhas, Sreemol
collection PubMed
description Muscle weakness is a common consequence of both aging (sarcopenia) and neuromuscular disorders (NMD). Whilst genome-wide association (GWA) studies have identified genetic variants associated with grip strength (GS; measure of muscle strength/weakness) and NMDs, including multiple sclerosis (MS), myasthenia gravis (MG) and amyotrophic lateral sclerosis (ALS), it is not known whether there are common mechanisms between these phenotypes. To examine this, we have integrated GS and NMD associated genetic variants (single nucleotide polymorphisms; SNPs) in a multimorbid analysis that leverages high-throughput chromatin interaction (Hi-C) data and expression quantitative trait loci data to identify target genes (i.e., SNP-mediated gene regulation). Biological pathways enriched by these genes were then identified using next-generation pathway enrichment analysis. Lastly, druggable genes were identified using drug gene interaction (DGI) database. We identified gene regulatory mechanisms associated with GS, MG, MS, and ALS. The SNPs associated with GS regulate a subset of genes that are also regulated by the SNPs of MS, MG, and ALS. Yet, we did not find any genes commonly regulated by all four phenotype associated SNPs. By contrast, we identified significant enrichment in three pathways (mTOR signaling, axon guidance, and alcoholism) that are commonly affected by the gene regulatory mechanisms associated with all four phenotypes. 13% of the genes we identified were known drug targets, and GS shares at least one druggable gene and pathway with each of the NMD phenotypes. We have identified significant biological overlaps between GS and NMD, demonstrating the potential for spatial genetic analysis to identify common mechanisms between potential multimorbid phenotypes. Collectively, our results form the foundation for a shift from a gene to a pathway-based approach to the rationale design of therapeutic interventions and treatments for NMD.
format Online
Article
Text
id pubmed-7194178
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-71941782020-05-08 Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders Gokuladhas, Sreemol Schierding, William Cameron-Smith, David Wake, Melissa Scotter, Emma L. O’Sullivan, Justin Front Genet Genetics Muscle weakness is a common consequence of both aging (sarcopenia) and neuromuscular disorders (NMD). Whilst genome-wide association (GWA) studies have identified genetic variants associated with grip strength (GS; measure of muscle strength/weakness) and NMDs, including multiple sclerosis (MS), myasthenia gravis (MG) and amyotrophic lateral sclerosis (ALS), it is not known whether there are common mechanisms between these phenotypes. To examine this, we have integrated GS and NMD associated genetic variants (single nucleotide polymorphisms; SNPs) in a multimorbid analysis that leverages high-throughput chromatin interaction (Hi-C) data and expression quantitative trait loci data to identify target genes (i.e., SNP-mediated gene regulation). Biological pathways enriched by these genes were then identified using next-generation pathway enrichment analysis. Lastly, druggable genes were identified using drug gene interaction (DGI) database. We identified gene regulatory mechanisms associated with GS, MG, MS, and ALS. The SNPs associated with GS regulate a subset of genes that are also regulated by the SNPs of MS, MG, and ALS. Yet, we did not find any genes commonly regulated by all four phenotype associated SNPs. By contrast, we identified significant enrichment in three pathways (mTOR signaling, axon guidance, and alcoholism) that are commonly affected by the gene regulatory mechanisms associated with all four phenotypes. 13% of the genes we identified were known drug targets, and GS shares at least one druggable gene and pathway with each of the NMD phenotypes. We have identified significant biological overlaps between GS and NMD, demonstrating the potential for spatial genetic analysis to identify common mechanisms between potential multimorbid phenotypes. Collectively, our results form the foundation for a shift from a gene to a pathway-based approach to the rationale design of therapeutic interventions and treatments for NMD. Frontiers Media S.A. 2020-04-24 /pmc/articles/PMC7194178/ /pubmed/32391060 http://dx.doi.org/10.3389/fgene.2020.00393 Text en Copyright © 2020 Gokuladhas, Schierding, Cameron-Smith, Wake, Scotter and O’Sullivan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Gokuladhas, Sreemol
Schierding, William
Cameron-Smith, David
Wake, Melissa
Scotter, Emma L.
O’Sullivan, Justin
Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title_full Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title_fullStr Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title_full_unstemmed Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title_short Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders
title_sort shared regulatory pathways reveal novel genetic correlations between grip strength and neuromuscular disorders
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194178/
https://www.ncbi.nlm.nih.gov/pubmed/32391060
http://dx.doi.org/10.3389/fgene.2020.00393
work_keys_str_mv AT gokuladhassreemol sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders
AT schierdingwilliam sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders
AT cameronsmithdavid sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders
AT wakemelissa sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders
AT scotteremmal sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders
AT osullivanjustin sharedregulatorypathwaysrevealnovelgeneticcorrelationsbetweengripstrengthandneuromusculardisorders