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The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction
Background: The pharmacogenetic effect on cardiovascular disease reduction in response to statin treatment has only been assessed in small studies. In a pharmacogenetic genome wide association study (GWAS) analysis within the Genomic Investigation of Statin Therapy (GIST) consortium, we investigated...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769168/ https://www.ncbi.nlm.nih.gov/pubmed/35069183 http://dx.doi.org/10.3389/fphar.2021.679857 |
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author | Trompet, Stella Postmus, Iris Warren, Helen R. Noordam, Raymond Smit, Roelof A. J. Theusch, Elizabeth Li, Xiaohui Arsenault, Benoit Chasman, Daniel I. Hitman, Graham A. Munroe, Patricia B. Rotter, Jerome I. Psaty, Bruce M. Caulfield, Mark J. Krauss, Ron M. Cupples, Adrienne L. Jukema, Wouter J. |
author_facet | Trompet, Stella Postmus, Iris Warren, Helen R. Noordam, Raymond Smit, Roelof A. J. Theusch, Elizabeth Li, Xiaohui Arsenault, Benoit Chasman, Daniel I. Hitman, Graham A. Munroe, Patricia B. Rotter, Jerome I. Psaty, Bruce M. Caulfield, Mark J. Krauss, Ron M. Cupples, Adrienne L. Jukema, Wouter J. |
author_sort | Trompet, Stella |
collection | PubMed |
description | Background: The pharmacogenetic effect on cardiovascular disease reduction in response to statin treatment has only been assessed in small studies. In a pharmacogenetic genome wide association study (GWAS) analysis within the Genomic Investigation of Statin Therapy (GIST) consortium, we investigated whether genetic variation was associated with the response of statins on cardiovascular disease risk reduction. Methods: The investigated endpoint was incident myocardial infarction (MI) defined as coronary heart disease death and definite and suspect non-fatal MI. For imputed single nucleotide polymorphisms (SNPs), regression analysis was performed on expected allelic dosage and meta-analysed with a fixed-effects model, inverse variance weighted meta-analysis. All SNPs with p-values <5.0 × 10(−4) in stage 1 GWAS meta-analysis were selected for further investigation in stage-2. As a secondary analysis, we extracted SNPs from the Stage-1 GWAS meta-analysis results based on predefined hypotheses to possibly modifying the effect of statin therapy on MI. Results: In stage-1 meta-analysis (eight studies, n = 10,769, 4,212 cases), we observed no genome-wide significant results (p < 5.0 × 10(−8)). A total of 144 genetic variants were followed-up in the second stage (three studies, n = 1,525, 180 cases). In the combined meta-analysis, no genome-wide significant hits were identified. Moreover, none of the look-ups of SNPs known to be associated with either CHD or with statin response to cholesterol levels reached Bonferroni level of significance within our stage-1 meta-analysis. Conclusion: This GWAS analysis did not provide evidence that genetic variation affects statin response on cardiovascular risk reduction. It does not appear likely that genetic testing for predicting effects of statins on clinical events will become a useful tool in clinical practice. |
format | Online Article Text |
id | pubmed-8769168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87691682022-01-20 The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction Trompet, Stella Postmus, Iris Warren, Helen R. Noordam, Raymond Smit, Roelof A. J. Theusch, Elizabeth Li, Xiaohui Arsenault, Benoit Chasman, Daniel I. Hitman, Graham A. Munroe, Patricia B. Rotter, Jerome I. Psaty, Bruce M. Caulfield, Mark J. Krauss, Ron M. Cupples, Adrienne L. Jukema, Wouter J. Front Pharmacol Pharmacology Background: The pharmacogenetic effect on cardiovascular disease reduction in response to statin treatment has only been assessed in small studies. In a pharmacogenetic genome wide association study (GWAS) analysis within the Genomic Investigation of Statin Therapy (GIST) consortium, we investigated whether genetic variation was associated with the response of statins on cardiovascular disease risk reduction. Methods: The investigated endpoint was incident myocardial infarction (MI) defined as coronary heart disease death and definite and suspect non-fatal MI. For imputed single nucleotide polymorphisms (SNPs), regression analysis was performed on expected allelic dosage and meta-analysed with a fixed-effects model, inverse variance weighted meta-analysis. All SNPs with p-values <5.0 × 10(−4) in stage 1 GWAS meta-analysis were selected for further investigation in stage-2. As a secondary analysis, we extracted SNPs from the Stage-1 GWAS meta-analysis results based on predefined hypotheses to possibly modifying the effect of statin therapy on MI. Results: In stage-1 meta-analysis (eight studies, n = 10,769, 4,212 cases), we observed no genome-wide significant results (p < 5.0 × 10(−8)). A total of 144 genetic variants were followed-up in the second stage (three studies, n = 1,525, 180 cases). In the combined meta-analysis, no genome-wide significant hits were identified. Moreover, none of the look-ups of SNPs known to be associated with either CHD or with statin response to cholesterol levels reached Bonferroni level of significance within our stage-1 meta-analysis. Conclusion: This GWAS analysis did not provide evidence that genetic variation affects statin response on cardiovascular risk reduction. It does not appear likely that genetic testing for predicting effects of statins on clinical events will become a useful tool in clinical practice. Frontiers Media S.A. 2022-01-05 /pmc/articles/PMC8769168/ /pubmed/35069183 http://dx.doi.org/10.3389/fphar.2021.679857 Text en Copyright © 2022 Trompet, Postmus, Warren, Noordam, Smit, Theusch, Li, Arsenault, Chasman, Hitman, Munroe, Rotter, Psaty, Caulfield, Krauss, Cupples and Jukema. https://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 | Pharmacology Trompet, Stella Postmus, Iris Warren, Helen R. Noordam, Raymond Smit, Roelof A. J. Theusch, Elizabeth Li, Xiaohui Arsenault, Benoit Chasman, Daniel I. Hitman, Graham A. Munroe, Patricia B. Rotter, Jerome I. Psaty, Bruce M. Caulfield, Mark J. Krauss, Ron M. Cupples, Adrienne L. Jukema, Wouter J. The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title | The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title_full | The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title_fullStr | The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title_full_unstemmed | The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title_short | The Pharmacogenetics of Statin Therapy on Clinical Events: No Evidence that Genetic Variation Affects Statin Response on Myocardial Infarction |
title_sort | pharmacogenetics of statin therapy on clinical events: no evidence that genetic variation affects statin response on myocardial infarction |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769168/ https://www.ncbi.nlm.nih.gov/pubmed/35069183 http://dx.doi.org/10.3389/fphar.2021.679857 |
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