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Genomic ancestry as a predictor of haemodynamic profile in heart failure

OBJECTIVE: The aim of this study is to assess the association between genetic ancestry, self-declared race and haemodynamic parameters in patients with chronic heart failure (HF). METHODS: Observational, cross-sectional study. Eligible participants were aged between 18 and 80 years; ejection fractio...

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Autores principales: Bernardez-Pereira, Sabrina, Gioli-Pereira, Luciana, Marcondes-Braga, Fabiana G, Santos, Paulo Caleb Junior Lima, Spina, Joceli Mabel Rocha, Horimoto, Andréa Roseli Vançan Russo, Santos, Hadassa Campos, Bacal, Fernando, Fernandes, Fábio, Mansur, Alfredo Jose, Pietrobon, Ricardo, Krieger, José Eduardo, Mesquita, Evandro Tinoco, Pereira, Alexandre Costa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975862/
https://www.ncbi.nlm.nih.gov/pubmed/27547430
http://dx.doi.org/10.1136/openhrt-2016-000434
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author Bernardez-Pereira, Sabrina
Gioli-Pereira, Luciana
Marcondes-Braga, Fabiana G
Santos, Paulo Caleb Junior Lima
Spina, Joceli Mabel Rocha
Horimoto, Andréa Roseli Vançan Russo
Santos, Hadassa Campos
Bacal, Fernando
Fernandes, Fábio
Mansur, Alfredo Jose
Pietrobon, Ricardo
Krieger, José Eduardo
Mesquita, Evandro Tinoco
Pereira, Alexandre Costa
author_facet Bernardez-Pereira, Sabrina
Gioli-Pereira, Luciana
Marcondes-Braga, Fabiana G
Santos, Paulo Caleb Junior Lima
Spina, Joceli Mabel Rocha
Horimoto, Andréa Roseli Vançan Russo
Santos, Hadassa Campos
Bacal, Fernando
Fernandes, Fábio
Mansur, Alfredo Jose
Pietrobon, Ricardo
Krieger, José Eduardo
Mesquita, Evandro Tinoco
Pereira, Alexandre Costa
author_sort Bernardez-Pereira, Sabrina
collection PubMed
description OBJECTIVE: The aim of this study is to assess the association between genetic ancestry, self-declared race and haemodynamic parameters in patients with chronic heart failure (HF). METHODS: Observational, cross-sectional study. Eligible participants were aged between 18 and 80 years; ejection fraction was ≤50%. Patients underwent genetic analysis of ancestry informative markers, echocardiography and impedance cardiography (ICG). Race was determined by self-classification into two groups: white and non-white. Genomic ancestry was estimated using a panel of 101 348 polymorphic markers and three continental reference populations (European, African and Native American). RESULTS: Our study included 362 patients with HF between August 2012 and August 2014. 123 patients with HF declared themselves as white and 234 patients declared themselves as non-white. No statistically significant differences were found regarding the ICG parameters according to self-declared race. The Amerindian ancestry was positively correlated with systolic time ratio (r=0.109, p<0.05). The thoracic fluid content index (r=0.124. p<0.05), E wave peak (r=0.127. p<0.05) and E/e′ ratio (r=0.197. p<0.01) were correlated positively with African ancestry. In multiple linear regression, African ancestry remained associated with the E/e′ ratio, even after adjustment to risk factors. CONCLUSIONS: The African genetic ancestry was associated with worse parameters of diastolic function; the Amerindian ancestry correlated with a worse pattern of ventricular contractility, while self-declared colour was not helpful to infer haemodynamic profiles in HF. TRIALS REGISTRATION NUMBER: NTC02043431.
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spelling pubmed-49758622016-08-19 Genomic ancestry as a predictor of haemodynamic profile in heart failure Bernardez-Pereira, Sabrina Gioli-Pereira, Luciana Marcondes-Braga, Fabiana G Santos, Paulo Caleb Junior Lima Spina, Joceli Mabel Rocha Horimoto, Andréa Roseli Vançan Russo Santos, Hadassa Campos Bacal, Fernando Fernandes, Fábio Mansur, Alfredo Jose Pietrobon, Ricardo Krieger, José Eduardo Mesquita, Evandro Tinoco Pereira, Alexandre Costa Open Heart Heart Failure and Cardiomyopathies OBJECTIVE: The aim of this study is to assess the association between genetic ancestry, self-declared race and haemodynamic parameters in patients with chronic heart failure (HF). METHODS: Observational, cross-sectional study. Eligible participants were aged between 18 and 80 years; ejection fraction was ≤50%. Patients underwent genetic analysis of ancestry informative markers, echocardiography and impedance cardiography (ICG). Race was determined by self-classification into two groups: white and non-white. Genomic ancestry was estimated using a panel of 101 348 polymorphic markers and three continental reference populations (European, African and Native American). RESULTS: Our study included 362 patients with HF between August 2012 and August 2014. 123 patients with HF declared themselves as white and 234 patients declared themselves as non-white. No statistically significant differences were found regarding the ICG parameters according to self-declared race. The Amerindian ancestry was positively correlated with systolic time ratio (r=0.109, p<0.05). The thoracic fluid content index (r=0.124. p<0.05), E wave peak (r=0.127. p<0.05) and E/e′ ratio (r=0.197. p<0.01) were correlated positively with African ancestry. In multiple linear regression, African ancestry remained associated with the E/e′ ratio, even after adjustment to risk factors. CONCLUSIONS: The African genetic ancestry was associated with worse parameters of diastolic function; the Amerindian ancestry correlated with a worse pattern of ventricular contractility, while self-declared colour was not helpful to infer haemodynamic profiles in HF. TRIALS REGISTRATION NUMBER: NTC02043431. BMJ Publishing Group 2016-07-26 /pmc/articles/PMC4975862/ /pubmed/27547430 http://dx.doi.org/10.1136/openhrt-2016-000434 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Heart Failure and Cardiomyopathies
Bernardez-Pereira, Sabrina
Gioli-Pereira, Luciana
Marcondes-Braga, Fabiana G
Santos, Paulo Caleb Junior Lima
Spina, Joceli Mabel Rocha
Horimoto, Andréa Roseli Vançan Russo
Santos, Hadassa Campos
Bacal, Fernando
Fernandes, Fábio
Mansur, Alfredo Jose
Pietrobon, Ricardo
Krieger, José Eduardo
Mesquita, Evandro Tinoco
Pereira, Alexandre Costa
Genomic ancestry as a predictor of haemodynamic profile in heart failure
title Genomic ancestry as a predictor of haemodynamic profile in heart failure
title_full Genomic ancestry as a predictor of haemodynamic profile in heart failure
title_fullStr Genomic ancestry as a predictor of haemodynamic profile in heart failure
title_full_unstemmed Genomic ancestry as a predictor of haemodynamic profile in heart failure
title_short Genomic ancestry as a predictor of haemodynamic profile in heart failure
title_sort genomic ancestry as a predictor of haemodynamic profile in heart failure
topic Heart Failure and Cardiomyopathies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975862/
https://www.ncbi.nlm.nih.gov/pubmed/27547430
http://dx.doi.org/10.1136/openhrt-2016-000434
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