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Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits

Wang, Xinfeng ; Zhang, Haoyang LU orcid ; Xiu, Xuehao ; Qi, Mengling ; Yang, Yuedong and Zhao, Huiying (2022) 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 p.241-246
Abstract

Observational studies have revealed that Coronary Atherosclerotic Heart Disease (CAHD) is associated with abnormal electrocardiogram (ECG) traits. However, it remains unclear whether there are genetic correlations between ECG and CAHD. Here, we explored genetic correlations and putative causal relationships between CAHD and ECG by performing Mendelian randomization (MR) and Polygenic risk score (PRS) analyses on the summary statistics from a large-scale genome-wide association study (GWAS) for CAHD (FinnGen: Ncase 23363, Ncontrol 187840) and ECG traits (UK Biobank: Ncase=1137, Ncontrol=40823). Results showed a causal genetic relationship between CAHD and six ECG traits in the lead V6. These ECG traits combining with age and gender have... (More)

Observational studies have revealed that Coronary Atherosclerotic Heart Disease (CAHD) is associated with abnormal electrocardiogram (ECG) traits. However, it remains unclear whether there are genetic correlations between ECG and CAHD. Here, we explored genetic correlations and putative causal relationships between CAHD and ECG by performing Mendelian randomization (MR) and Polygenic risk score (PRS) analyses on the summary statistics from a large-scale genome-wide association study (GWAS) for CAHD (FinnGen: Ncase 23363, Ncontrol 187840) and ECG traits (UK Biobank: Ncase=1137, Ncontrol=40823). Results showed a causal genetic relationship between CAHD and six ECG traits in the lead V6. These ECG traits combining with age and gender have predicted CAHD risk with an AUC of 0.76. Further summary data-based Mendelian randomization (SMR) analysis identified 11 risk genes associated with the causality between CAHD and ECG. Thus, the revealed putative causal effects of CAHD on ECG traits provide genetic evidence to support the importance of monitoring CAHD risk through the ECG.

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author
; ; ; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
keywords
Coronary Atherosclerotic, electrocardiogram, genetic causality, Mendelian randomization
host publication
2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
editor
Adjeroh, Donald ; Long, Qi ; Shi, Xinghua ; Guo, Fei ; Hu, Xiaohua ; Aluru, Srinivas ; Narasimhan, Giri ; Wang, Jianxin ; Kang, Mingon ; Mondal, Ananda M. and Liu, Jin
pages
241 - 246
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
conference location
Las Vegas, United States
conference dates
2022-12-06 - 2022-12-08
external identifiers
  • scopus:85146717828
ISBN
9781665468190
DOI
10.1109/BIBM55620.2022.9995557
language
English
LU publication?
no
additional info
Funding Information: The work was funded by the National Key Research and Development Program of China (2020YFB0204803), the Natural Science Foundation of China (81801132, 81971190), Guangdong Key Field Research and Development Plan (2019B020228001 and 2021A1515010256), Guangzhou Science and Technology Research Plan (202007030010), and Mater Foundation. Publisher Copyright: © 2022 IEEE.
id
19ac2da1-c629-40c7-88ac-e695dc247731
date added to LUP
2024-02-05 15:11:10
date last changed
2024-02-07 03:23:21
@inproceedings{19ac2da1-c629-40c7-88ac-e695dc247731,
  abstract     = {{<p>Observational studies have revealed that Coronary Atherosclerotic Heart Disease (CAHD) is associated with abnormal electrocardiogram (ECG) traits. However, it remains unclear whether there are genetic correlations between ECG and CAHD. Here, we explored genetic correlations and putative causal relationships between CAHD and ECG by performing Mendelian randomization (MR) and Polygenic risk score (PRS) analyses on the summary statistics from a large-scale genome-wide association study (GWAS) for CAHD (FinnGen: Ncase 23363, Ncontrol 187840) and ECG traits (UK Biobank: Ncase=1137, Ncontrol=40823). Results showed a causal genetic relationship between CAHD and six ECG traits in the lead V6. These ECG traits combining with age and gender have predicted CAHD risk with an AUC of 0.76. Further summary data-based Mendelian randomization (SMR) analysis identified 11 risk genes associated with the causality between CAHD and ECG. Thus, the revealed putative causal effects of CAHD on ECG traits provide genetic evidence to support the importance of monitoring CAHD risk through the ECG.</p>}},
  author       = {{Wang, Xinfeng and Zhang, Haoyang and Xiu, Xuehao and Qi, Mengling and Yang, Yuedong and Zhao, Huiying}},
  booktitle    = {{2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022}},
  editor       = {{Adjeroh, Donald and Long, Qi and Shi, Xinghua and Guo, Fei and Hu, Xiaohua and Aluru, Srinivas and Narasimhan, Giri and Wang, Jianxin and Kang, Mingon and Mondal, Ananda M. and Liu, Jin}},
  isbn         = {{9781665468190}},
  keywords     = {{Coronary Atherosclerotic; electrocardiogram; genetic causality; Mendelian randomization}},
  language     = {{eng}},
  pages        = {{241--246}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits}},
  url          = {{http://dx.doi.org/10.1109/BIBM55620.2022.9995557}},
  doi          = {{10.1109/BIBM55620.2022.9995557}},
  year         = {{2022}},
}