Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Genetic Landscape of the ACE2 Coronavirus Receptor

Yang, Z. ; Elmståhl, S. LU and Shen, X. (2022) In Circulation 145(18). p.1398-1411
Abstract
Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood. Methods: We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2.... (More)
Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood. Methods: We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2. Using the summary statistics-based high-definition likelihood method, we estimate relevant genetic correlations with cardiometabolic phenotypes, COVID-19, and other human complex traits and diseases. We perform causal inference of soluble ACE2 on vascular disease outcomes and COVID-19 severity using mendelian randomization. We also perform in silico functional analysis by integrating with other types of omics data. Results: We identified 10 loci, including 8 novel, capturing 30% of the heritability of the protein. We detected that plasma ACE2 was genetically correlated with vascular diseases, severe COVID-19, and a wide range of human complex diseases and medications. An X-chromosome cis-protein quantitative trait loci-based mendelian randomization analysis suggested a causal effect of elevated ACE2 levels on COVID-19 severity (odds ratio, 1.63 [95% CI, 1.10-2.42]; P=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21]; P=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37]; P=0.02). Tissue- and cell type-specific transcriptomic and epigenomic analysis revealed that the ACE2 regulatory variants were enriched for DNA methylation sites in blood immune cells. Conclusions: Human plasma ACE2 shares a genetic basis with cardiovascular disease, COVID-19, and other related diseases. The genetic architecture of the ACE2 protein is mapped, providing a useful resource for further biological and clinical studies on this coronavirus receptor. © 2022 Lippincott Williams and Wilkins. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
; and
author collaboration
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
angiotensin-converting enzyme 2, cardiovascular diseases, COVID-19, Genome-Wide Association Study, SARS-CoV-2, angiotensin converting enzyme 2, dipeptidyl carboxypeptidase, Article, cardiometabolic risk, cardiovascular disease, chromosome analysis, computer model, coronavirus disease 2019, data extraction, disorder of sex development, gene amplification, gene expression, gene frequency, genetic analysis, genetic correlation, genetic profile, genetic variability, genome-wide association study, genotype, heritability, human, human cell, information processing, information retrieval, omics, outcome assessment, protein expression, quantitative trait locus, real time polymerase chain reaction, Severe acute respiratory syndrome coronavirus 2, single nucleotide polymorphism, cross-sectional study, genetics, meta analysis, metabolism, Angiotensin-Converting Enzyme 2, Cross-Sectional Studies, Humans, Peptidyl-Dipeptidase A, Receptors, Coronavirus
in
Circulation
volume
145
issue
18
pages
14 pages
publisher
Lippincott Williams & Wilkins
external identifiers
  • scopus:85129781633
  • pmid:35387486
ISSN
0009-7322
DOI
10.1161/CIRCULATIONAHA.121.057888
language
English
LU publication?
yes
id
d3eadae5-454a-4246-af7d-6a3200ad2bf2
date added to LUP
2022-09-14 14:11:22
date last changed
2024-02-18 08:36:09
@article{d3eadae5-454a-4246-af7d-6a3200ad2bf2,
  abstract     = {{Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the genetic basis of the ACE2 protein levels is not well understood. Methods: We have conducted the largest genome-wide association meta-analysis of plasma ACE2 levels in >28 000 individuals of the SCALLOP Consortium (Systematic and Combined Analysis of Olink Proteins). We summarize the cross-sectional epidemiological correlates of circulating ACE2. Using the summary statistics-based high-definition likelihood method, we estimate relevant genetic correlations with cardiometabolic phenotypes, COVID-19, and other human complex traits and diseases. We perform causal inference of soluble ACE2 on vascular disease outcomes and COVID-19 severity using mendelian randomization. We also perform in silico functional analysis by integrating with other types of omics data. Results: We identified 10 loci, including 8 novel, capturing 30% of the heritability of the protein. We detected that plasma ACE2 was genetically correlated with vascular diseases, severe COVID-19, and a wide range of human complex diseases and medications. An X-chromosome cis-protein quantitative trait loci-based mendelian randomization analysis suggested a causal effect of elevated ACE2 levels on COVID-19 severity (odds ratio, 1.63 [95% CI, 1.10-2.42]; P=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21]; P=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37]; P=0.02). Tissue- and cell type-specific transcriptomic and epigenomic analysis revealed that the ACE2 regulatory variants were enriched for DNA methylation sites in blood immune cells. Conclusions: Human plasma ACE2 shares a genetic basis with cardiovascular disease, COVID-19, and other related diseases. The genetic architecture of the ACE2 protein is mapped, providing a useful resource for further biological and clinical studies on this coronavirus receptor. © 2022 Lippincott Williams and Wilkins. All rights reserved.}},
  author       = {{Yang, Z. and Elmståhl, S. and Shen, X.}},
  issn         = {{0009-7322}},
  keywords     = {{angiotensin-converting enzyme 2; cardiovascular diseases; COVID-19; Genome-Wide Association Study; SARS-CoV-2; angiotensin converting enzyme 2; dipeptidyl carboxypeptidase; Article; cardiometabolic risk; cardiovascular disease; chromosome analysis; computer model; coronavirus disease 2019; data extraction; disorder of sex development; gene amplification; gene expression; gene frequency; genetic analysis; genetic correlation; genetic profile; genetic variability; genome-wide association study; genotype; heritability; human; human cell; information processing; information retrieval; omics; outcome assessment; protein expression; quantitative trait locus; real time polymerase chain reaction; Severe acute respiratory syndrome coronavirus 2; single nucleotide polymorphism; cross-sectional study; genetics; meta analysis; metabolism; Angiotensin-Converting Enzyme 2; Cross-Sectional Studies; Humans; Peptidyl-Dipeptidase A; Receptors, Coronavirus}},
  language     = {{eng}},
  number       = {{18}},
  pages        = {{1398--1411}},
  publisher    = {{Lippincott Williams & Wilkins}},
  series       = {{Circulation}},
  title        = {{Genetic Landscape of the ACE2 Coronavirus Receptor}},
  url          = {{http://dx.doi.org/10.1161/CIRCULATIONAHA.121.057888}},
  doi          = {{10.1161/CIRCULATIONAHA.121.057888}},
  volume       = {{145}},
  year         = {{2022}},
}