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Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

Measures of lung function are heritable, and thus, we sought to utilise genetics to propose drug-repurposing candidates that could improve respiratory outcomes. Lung function measures were found to be genetically correlated with seven druggable biochemical traits, with further evidence of a causal r...

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Autores principales: Reay, William R, El Shair, Sahar I, Geaghan, Michael P, Riveros, Carlos, Holliday, Elizabeth G, McEvoy, Mark A, Hancock, Stephen, Peel, Roseanne, Scott, Rodney J, Attia, John R, Cairns, Murray J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060032/
https://www.ncbi.nlm.nih.gov/pubmed/33720009
http://dx.doi.org/10.7554/eLife.63115
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author Reay, William R
El Shair, Sahar I
Geaghan, Michael P
Riveros, Carlos
Holliday, Elizabeth G
McEvoy, Mark A
Hancock, Stephen
Peel, Roseanne
Scott, Rodney J
Attia, John R
Cairns, Murray J
author_facet Reay, William R
El Shair, Sahar I
Geaghan, Michael P
Riveros, Carlos
Holliday, Elizabeth G
McEvoy, Mark A
Hancock, Stephen
Peel, Roseanne
Scott, Rodney J
Attia, John R
Cairns, Murray J
author_sort Reay, William R
collection PubMed
description Measures of lung function are heritable, and thus, we sought to utilise genetics to propose drug-repurposing candidates that could improve respiratory outcomes. Lung function measures were found to be genetically correlated with seven druggable biochemical traits, with further evidence of a causal relationship between increased fasting glucose and diminished lung function. Moreover, we developed polygenic scores for lung function specifically within pathways with known drug targets and investigated their relationship with pulmonary phenotypes and gene expression in independent cohorts to prioritise individuals who may benefit from particular drug-repurposing opportunities. A transcriptome-wide association study (TWAS) of lung function was then performed which identified several drug–gene interactions with predicted lung function increasing modes of action. Drugs that regulate blood glucose were uncovered through both polygenic scoring and TWAS methodologies. In summary, we provided genetic justification for a number of novel drug-repurposing opportunities that could improve lung function.
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spelling pubmed-80600322021-04-23 Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function Reay, William R El Shair, Sahar I Geaghan, Michael P Riveros, Carlos Holliday, Elizabeth G McEvoy, Mark A Hancock, Stephen Peel, Roseanne Scott, Rodney J Attia, John R Cairns, Murray J eLife Genetics and Genomics Measures of lung function are heritable, and thus, we sought to utilise genetics to propose drug-repurposing candidates that could improve respiratory outcomes. Lung function measures were found to be genetically correlated with seven druggable biochemical traits, with further evidence of a causal relationship between increased fasting glucose and diminished lung function. Moreover, we developed polygenic scores for lung function specifically within pathways with known drug targets and investigated their relationship with pulmonary phenotypes and gene expression in independent cohorts to prioritise individuals who may benefit from particular drug-repurposing opportunities. A transcriptome-wide association study (TWAS) of lung function was then performed which identified several drug–gene interactions with predicted lung function increasing modes of action. Drugs that regulate blood glucose were uncovered through both polygenic scoring and TWAS methodologies. In summary, we provided genetic justification for a number of novel drug-repurposing opportunities that could improve lung function. eLife Sciences Publications, Ltd 2021-03-15 /pmc/articles/PMC8060032/ /pubmed/33720009 http://dx.doi.org/10.7554/eLife.63115 Text en © 2021, Reay et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Reay, William R
El Shair, Sahar I
Geaghan, Michael P
Riveros, Carlos
Holliday, Elizabeth G
McEvoy, Mark A
Hancock, Stephen
Peel, Roseanne
Scott, Rodney J
Attia, John R
Cairns, Murray J
Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title_full Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title_fullStr Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title_full_unstemmed Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title_short Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
title_sort genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060032/
https://www.ncbi.nlm.nih.gov/pubmed/33720009
http://dx.doi.org/10.7554/eLife.63115
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