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Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans
BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the associ...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785453/ https://www.ncbi.nlm.nih.gov/pubmed/31407531 http://dx.doi.org/10.1002/mgg3.788 |
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author | Do, Anh N. Zhao, Wei Baldridge, Abigail S. Raffield, Laura M. Wiggins, Kerri L. Shah, Sanjiv J. Aslibekyan, Stella Tiwari, Hemant K. Limdi, Nita Zhi, Degui Sitlani, Colleen M. Taylor, Kent D. Psaty, Bruce M. Sotoodehnia, Nona Brody, Jennifer A. Rasmussen‐Torvik, Laura J. Lloyd‐Jones, Donald Lange, Leslie A. Wilson, James G. Smith, Jennifer A. Kardia, Sharon L. R. Mosley, Thomas H. Vasan, Ramachandran S. Arnett, Donna K. Irvin, Marguerite R. |
author_facet | Do, Anh N. Zhao, Wei Baldridge, Abigail S. Raffield, Laura M. Wiggins, Kerri L. Shah, Sanjiv J. Aslibekyan, Stella Tiwari, Hemant K. Limdi, Nita Zhi, Degui Sitlani, Colleen M. Taylor, Kent D. Psaty, Bruce M. Sotoodehnia, Nona Brody, Jennifer A. Rasmussen‐Torvik, Laura J. Lloyd‐Jones, Donald Lange, Leslie A. Wilson, James G. Smith, Jennifer A. Kardia, Sharon L. R. Mosley, Thomas H. Vasan, Ramachandran S. Arnett, Donna K. Irvin, Marguerite R. |
author_sort | Do, Anh N. |
collection | PubMed |
description | BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography. METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)‐by‐drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community‐based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE‐Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta‐analyses of main effects of drugs and 2.5 million SNP‐by‐drug interaction estimates. RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p = 0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE‐Is with consistent effects across cohorts (smallest p = 4.7 × 10(−8), minor allele frequency range 0.09–0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population. CONCLUSIONS: Our study identified one locus having genome‐wide significant SNP‐by‐drug interaction effect on RWT among dCCB users in comparison to ACE‐I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment. |
format | Online Article Text |
id | pubmed-6785453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67854532019-10-17 Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans Do, Anh N. Zhao, Wei Baldridge, Abigail S. Raffield, Laura M. Wiggins, Kerri L. Shah, Sanjiv J. Aslibekyan, Stella Tiwari, Hemant K. Limdi, Nita Zhi, Degui Sitlani, Colleen M. Taylor, Kent D. Psaty, Bruce M. Sotoodehnia, Nona Brody, Jennifer A. Rasmussen‐Torvik, Laura J. Lloyd‐Jones, Donald Lange, Leslie A. Wilson, James G. Smith, Jennifer A. Kardia, Sharon L. R. Mosley, Thomas H. Vasan, Ramachandran S. Arnett, Donna K. Irvin, Marguerite R. Mol Genet Genomic Med Original Articles BACKGROUND: Left ventricular (LV) hypertrophy affects up to 43% of African Americans (AAs). Antihypertensive treatment reduces LV mass (LVM). However, interindividual variation in LV traits in response to antihypertensive treatments exists. We hypothesized that genetic variants may modify the association of antihypertensive treatment class with LV traits measured by echocardiography. METHODS: We evaluated the main effects of the three most common antihypertensive treatments for AAs as well as the single nucleotide polymorphism (SNP)‐by‐drug interaction on LVM and relative wall thickness (RWT) in 2,068 participants across five community‐based cohorts. Treatments included thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACE‐Is), and dihydropyridine calcium channel blockers (dCCBs) and were compared in a pairwise manner. We performed fixed effects inverse variance weighted meta‐analyses of main effects of drugs and 2.5 million SNP‐by‐drug interaction estimates. RESULTS: We observed that dCCBs versus TDs were associated with higher LVM after adjusting for covariates (p = 0.001). We report three SNPs at a single locus on chromosome 20 that modified the association between RWT and treatment when comparing dCCBs to ACE‐Is with consistent effects across cohorts (smallest p = 4.7 × 10(−8), minor allele frequency range 0.09–0.12). This locus has been linked to LV hypertrophy in a previous study. A marginally significant locus in BICD1 (rs326641) was validated in an external population. CONCLUSIONS: Our study identified one locus having genome‐wide significant SNP‐by‐drug interaction effect on RWT among dCCB users in comparison to ACE‐I users. Upon additional validation in future studies, our findings can enhance the precision of medical approaches in hypertension treatment. John Wiley and Sons Inc. 2019-08-13 /pmc/articles/PMC6785453/ /pubmed/31407531 http://dx.doi.org/10.1002/mgg3.788 Text en © 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Do, Anh N. Zhao, Wei Baldridge, Abigail S. Raffield, Laura M. Wiggins, Kerri L. Shah, Sanjiv J. Aslibekyan, Stella Tiwari, Hemant K. Limdi, Nita Zhi, Degui Sitlani, Colleen M. Taylor, Kent D. Psaty, Bruce M. Sotoodehnia, Nona Brody, Jennifer A. Rasmussen‐Torvik, Laura J. Lloyd‐Jones, Donald Lange, Leslie A. Wilson, James G. Smith, Jennifer A. Kardia, Sharon L. R. Mosley, Thomas H. Vasan, Ramachandran S. Arnett, Donna K. Irvin, Marguerite R. Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title | Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title_full | Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title_fullStr | Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title_full_unstemmed | Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title_short | Genome‐wide meta‐analysis of SNP and antihypertensive medication interactions on left ventricular traits in African Americans |
title_sort | genome‐wide meta‐analysis of snp and antihypertensive medication interactions on left ventricular traits in african americans |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785453/ https://www.ncbi.nlm.nih.gov/pubmed/31407531 http://dx.doi.org/10.1002/mgg3.788 |
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