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Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases
BACKGROUND: Comorbidities of coronavirus disease 2019 (COVID-19)/coronary heart disease (CHD) pose great threats to disease outcomes, yet little is known about their shared pathology. The study aimed to examine whether comorbidities of COVID-19/CHD involved shared genetic pathology, as well as to cl...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647050/ https://www.ncbi.nlm.nih.gov/pubmed/37964352 http://dx.doi.org/10.1186/s40246-023-00547-8 |
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author | Wang, Siyue Peng, Hexiang Chen, Feng Liu, Chunfang Zheng, Qiwen Wang, Mengying Wang, Jiating Yu, Huan Xue, Enci Chen, Xi Wang, Xueheng Fan, Meng Qin, Xueying Wu, Yiqun Li, Jin Ye, Ying Chen, Dafang Hu, Yonghua Wu, Tao |
author_facet | Wang, Siyue Peng, Hexiang Chen, Feng Liu, Chunfang Zheng, Qiwen Wang, Mengying Wang, Jiating Yu, Huan Xue, Enci Chen, Xi Wang, Xueheng Fan, Meng Qin, Xueying Wu, Yiqun Li, Jin Ye, Ying Chen, Dafang Hu, Yonghua Wu, Tao |
author_sort | Wang, Siyue |
collection | PubMed |
description | BACKGROUND: Comorbidities of coronavirus disease 2019 (COVID-19)/coronary heart disease (CHD) pose great threats to disease outcomes, yet little is known about their shared pathology. The study aimed to examine whether comorbidities of COVID-19/CHD involved shared genetic pathology, as well as to clarify the shared genetic variants predisposing risks common to COVID-19 severity and CHD risks. METHODS: By leveraging publicly available summary statistics, we assessed the genetically determined causality between COVID-19 and CHD with bidirectional Mendelian randomization. To further quantify the causality contributed by shared genetic variants, we interrogated their genetic correlation with the linkage disequilibrium score regression method. Bayesian colocalization analysis coupled with conditional/conjunctional false discovery rate analysis was applied to decipher the shared causal single nucleotide polymorphisms (SNPs). FINDINGS: Briefly, we observed that the incident CHD risks post COVID-19 infection were partially determined by shared genetic variants. The shared genetic variants contributed to the causality at a proportion of 0.18 (95% CI 0.18–0.19) to 0.23 (95% CI 0.23–0.24). The SNP (rs10490770) located near LZTFL1 suggested direct causality (SNPs → COVID-19 → CHD), and SNPs in ABO (rs579459, rs495828), ILRUN(rs2744961), and CACFD1(rs4962153, rs3094379) may simultaneously influence COVID-19 severity and CHD risks. INTERPRETATION: Five SNPs located near LZTFL1 (rs10490770), ABO (rs579459, rs495828), ILRUN (rs2744961), and CACFD1 (rs4962153, rs3094379) may simultaneously influence their risks. The current study suggested that there may be shared mechanisms predisposing to both COVID-19 severity and CHD risks. Genetic predisposition to COVID-19 is a causal risk factor for CHD, supporting that reducing the COVID-19 infection risk or alleviating COVID-19 severity among those with specific genotypes might reduce their subsequent CHD adverse outcomes. Meanwhile, the shared genetic variants identified may be of clinical implications for identifying the target population who are more vulnerable to adverse CHD outcomes post COVID-19 and may also advance treatments of ‘Long COVID-19.’ SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00547-8. |
format | Online Article Text |
id | pubmed-10647050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106470502023-11-14 Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases Wang, Siyue Peng, Hexiang Chen, Feng Liu, Chunfang Zheng, Qiwen Wang, Mengying Wang, Jiating Yu, Huan Xue, Enci Chen, Xi Wang, Xueheng Fan, Meng Qin, Xueying Wu, Yiqun Li, Jin Ye, Ying Chen, Dafang Hu, Yonghua Wu, Tao Hum Genomics Research BACKGROUND: Comorbidities of coronavirus disease 2019 (COVID-19)/coronary heart disease (CHD) pose great threats to disease outcomes, yet little is known about their shared pathology. The study aimed to examine whether comorbidities of COVID-19/CHD involved shared genetic pathology, as well as to clarify the shared genetic variants predisposing risks common to COVID-19 severity and CHD risks. METHODS: By leveraging publicly available summary statistics, we assessed the genetically determined causality between COVID-19 and CHD with bidirectional Mendelian randomization. To further quantify the causality contributed by shared genetic variants, we interrogated their genetic correlation with the linkage disequilibrium score regression method. Bayesian colocalization analysis coupled with conditional/conjunctional false discovery rate analysis was applied to decipher the shared causal single nucleotide polymorphisms (SNPs). FINDINGS: Briefly, we observed that the incident CHD risks post COVID-19 infection were partially determined by shared genetic variants. The shared genetic variants contributed to the causality at a proportion of 0.18 (95% CI 0.18–0.19) to 0.23 (95% CI 0.23–0.24). The SNP (rs10490770) located near LZTFL1 suggested direct causality (SNPs → COVID-19 → CHD), and SNPs in ABO (rs579459, rs495828), ILRUN(rs2744961), and CACFD1(rs4962153, rs3094379) may simultaneously influence COVID-19 severity and CHD risks. INTERPRETATION: Five SNPs located near LZTFL1 (rs10490770), ABO (rs579459, rs495828), ILRUN (rs2744961), and CACFD1 (rs4962153, rs3094379) may simultaneously influence their risks. The current study suggested that there may be shared mechanisms predisposing to both COVID-19 severity and CHD risks. Genetic predisposition to COVID-19 is a causal risk factor for CHD, supporting that reducing the COVID-19 infection risk or alleviating COVID-19 severity among those with specific genotypes might reduce their subsequent CHD adverse outcomes. Meanwhile, the shared genetic variants identified may be of clinical implications for identifying the target population who are more vulnerable to adverse CHD outcomes post COVID-19 and may also advance treatments of ‘Long COVID-19.’ SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-023-00547-8. BioMed Central 2023-11-14 /pmc/articles/PMC10647050/ /pubmed/37964352 http://dx.doi.org/10.1186/s40246-023-00547-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Siyue Peng, Hexiang Chen, Feng Liu, Chunfang Zheng, Qiwen Wang, Mengying Wang, Jiating Yu, Huan Xue, Enci Chen, Xi Wang, Xueheng Fan, Meng Qin, Xueying Wu, Yiqun Li, Jin Ye, Ying Chen, Dafang Hu, Yonghua Wu, Tao Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title | Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title_full | Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title_fullStr | Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title_full_unstemmed | Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title_short | Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases |
title_sort | identification of genetic loci jointly influencing covid-19 and coronary heart diseases |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647050/ https://www.ncbi.nlm.nih.gov/pubmed/37964352 http://dx.doi.org/10.1186/s40246-023-00547-8 |
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