A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population

Abstract Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellnes...

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Autores principales: Mengqiao Wang, Jiaqi Gao, Yang Shi, Xing Zhao
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/841bcfa908234708a64fdf0be4b9361d
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spelling oai:doaj.org-article:841bcfa908234708a64fdf0be4b9361d2021-12-02T13:19:20ZA genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population10.1038/s41598-021-84135-72045-2322https://doaj.org/article/841bcfa908234708a64fdf0be4b9361d2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84135-7https://doaj.org/toc/2045-2322Abstract Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs. abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.Mengqiao WangJiaqi GaoYang ShiXing ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Mengqiao Wang
Jiaqi Gao
Yang Shi
Xing Zhao
A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
description Abstract Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs. abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.
format article
author Mengqiao Wang
Jiaqi Gao
Yang Shi
Xing Zhao
author_facet Mengqiao Wang
Jiaqi Gao
Yang Shi
Xing Zhao
author_sort Mengqiao Wang
title A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
title_short A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
title_full A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
title_fullStr A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
title_full_unstemmed A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population
title_sort genome-wide association and polygenic risk score study on abnormal electrocardiogram in a chinese population
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/841bcfa908234708a64fdf0be4b9361d
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