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Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han
Chronic heart failure (CHF) has poor prognosis and polygenic heritability, and the genetic risk score (GRS) to predict CHF outcome has not yet been researched comprehensively. In this study, we sought to establish GRS to predict the outcomes of CHF. We re‐analysed the proteomics data of failing huma...
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/PMC6933418/ https://www.ncbi.nlm.nih.gov/pubmed/31670483 http://dx.doi.org/10.1111/jcmm.14722 |
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author | Li, Shiyang Sun, Yang Hu, Senlin Hu, Dong Li, Chenze Xiao, Lei Chen, Yanghui Li, Huihui Cui, Guanglin Wang, Dao Wen |
author_facet | Li, Shiyang Sun, Yang Hu, Senlin Hu, Dong Li, Chenze Xiao, Lei Chen, Yanghui Li, Huihui Cui, Guanglin Wang, Dao Wen |
author_sort | Li, Shiyang |
collection | PubMed |
description | Chronic heart failure (CHF) has poor prognosis and polygenic heritability, and the genetic risk score (GRS) to predict CHF outcome has not yet been researched comprehensively. In this study, we sought to establish GRS to predict the outcomes of CHF. We re‐analysed the proteomics data of failing human heart and combined them to filter the data of high‐throughput sequencing in 1000 Chinese CHF cohort. Cox hazards models were used based on single nucleotide polymorphisms (SNPs) to estimate the association of GRS with the prognosis of CHF, and to analyse the difference between individual SNPs and tertiles of genetic risk. In the cohort study, GRS encompassing eight SNPs harboured in seven genes were significantly associated with the prognosis of CHF (P = 2.19 × 10(−10) after adjustment). GRS was used in stratifying individuals into significantly different CHF risk, with those in the top tertiles of GRS distribution having HR of 3.68 (95% CI: 2.40‐5.65 P = 2.47 × 10(−10)) compared with those in the bottom. We developed GRS and demonstrated its association with first event of heart failure endpoint. GRS might be used to stratify individuals for CHF prognostic risk and to predict the outcomes of genomic screening as a complement to conventional risk and NT‐proBNP. |
format | Online Article Text |
id | pubmed-6933418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69334182020-01-01 Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han Li, Shiyang Sun, Yang Hu, Senlin Hu, Dong Li, Chenze Xiao, Lei Chen, Yanghui Li, Huihui Cui, Guanglin Wang, Dao Wen J Cell Mol Med Original Articles Chronic heart failure (CHF) has poor prognosis and polygenic heritability, and the genetic risk score (GRS) to predict CHF outcome has not yet been researched comprehensively. In this study, we sought to establish GRS to predict the outcomes of CHF. We re‐analysed the proteomics data of failing human heart and combined them to filter the data of high‐throughput sequencing in 1000 Chinese CHF cohort. Cox hazards models were used based on single nucleotide polymorphisms (SNPs) to estimate the association of GRS with the prognosis of CHF, and to analyse the difference between individual SNPs and tertiles of genetic risk. In the cohort study, GRS encompassing eight SNPs harboured in seven genes were significantly associated with the prognosis of CHF (P = 2.19 × 10(−10) after adjustment). GRS was used in stratifying individuals into significantly different CHF risk, with those in the top tertiles of GRS distribution having HR of 3.68 (95% CI: 2.40‐5.65 P = 2.47 × 10(−10)) compared with those in the bottom. We developed GRS and demonstrated its association with first event of heart failure endpoint. GRS might be used to stratify individuals for CHF prognostic risk and to predict the outcomes of genomic screening as a complement to conventional risk and NT‐proBNP. John Wiley and Sons Inc. 2019-10-31 2020-01 /pmc/articles/PMC6933418/ /pubmed/31670483 http://dx.doi.org/10.1111/jcmm.14722 Text en © 2019 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. 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 Li, Shiyang Sun, Yang Hu, Senlin Hu, Dong Li, Chenze Xiao, Lei Chen, Yanghui Li, Huihui Cui, Guanglin Wang, Dao Wen Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title | Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title_full | Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title_fullStr | Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title_full_unstemmed | Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title_short | Genetic risk scores to predict the prognosis of chronic heart failure patients in Chinese Han |
title_sort | genetic risk scores to predict the prognosis of chronic heart failure patients in chinese han |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933418/ https://www.ncbi.nlm.nih.gov/pubmed/31670483 http://dx.doi.org/10.1111/jcmm.14722 |
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