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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8060032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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