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Genetic Landscape of the ACE2 Coronavirus Receptor
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 importan...
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Published in: | Circulation (New York, N.Y.) N.Y.), 2022-05, Vol.145 (18), p.1398-1411 |
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container_title | Circulation (New York, N.Y.) |
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creator | Yang, Zhijian Macdonald-Dunlop, Erin Chen, Jiantao Zhai, Ranran Li, Ting Richmond, Anne Klarić, Lucija Pirastu, Nicola Ning, Zheng Zheng, Chenqing Wang, Yipeng Huang, Tingting He, Yazhou Guo, Huiming Ying, Kejun Gustafsson, Stefan Prins, Bram Ramisch, Anna Dermitzakis, Emmanouil T. Png, Grace Eriksson, Niclas Haessler, Jeffrey Hu, Xiaowei Zanetti, Daniela Boutin, Thibaud Hwang, Shih-Jen Wheeler, Eleanor Pietzner, Maik Raffield, Laura M. Kalnapenkis, Anette Peters, James E. Viñuela, Ana Gilly, Arthur Elmståhl, Sölve Dedoussis, George Petrie, John R. Polašek, Ozren Folkersen, Lasse Chen, Yan Yao, Chen Võsa, Urmo Pairo-Castineira, Erola Clohisey, Sara Bretherick, Andrew D. Rawlik, Konrad Esko, Tõnu Enroth, Stefan Johansson, Åsa Gyllensten, Ulf Langenberg, Claudia Levy, Daniel Hayward, Caroline Assimes, Themistocles L. Kooperberg, Charles Manichaikul, Ani W. Siegbahn, Agneta Wallentin, Lars Lind, Lars Zeggini, Eleftheria Schwenk, Jochen M. Butterworth, Adam S. Michaëlsson, Karl Pawitan, Yudi Joshi, Peter K. Baillie, J. Kenneth Mälarstig, Anders Reiner, Alexander P. Wilson, James F. Shen, Xia |
description | 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.
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.
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];
=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21];
=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37];
=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.
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. |
doi_str_mv | 10.1161/CIRCULATIONAHA.121.057888 |
format | article |
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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.
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];
=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21];
=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37];
=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.
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.</description><identifier>ISSN: 0009-7322</identifier><identifier>ISSN: 1524-4539</identifier><identifier>EISSN: 1524-4539</identifier><identifier>DOI: 10.1161/CIRCULATIONAHA.121.057888</identifier><identifier>PMID: 35387486</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>angiotensin converting enzyme 2 ; Angiotensin-Converting Enzyme 2 - genetics ; Basic Medicine ; cardiometabolic risk ; cardiovascular disease ; cardiovascular diseases ; chromosome analysis ; computer model ; coronavirus disease 2019 ; COVID-19 ; COVID-19 - genetics ; Cross-Sectional Studies ; cross-sectional study ; data extraction ; dipeptidyl carboxypeptidase ; disorder of sex development ; gene amplification ; gene expression ; gene frequency ; genetic analysis ; genetic correlation ; genetic profile ; genetic variability ; genetics ; Genome-Wide Association Study ; genotype ; heritability ; human ; human cell ; Humans ; information processing ; information retrieval ; Medical and Health Sciences ; Medical Genetics ; Medicin och hälsovetenskap ; Medicinsk genetik ; Medicinska och farmaceutiska grundvetenskaper ; meta analysis ; metabolism ; omics ; Original s ; outcome assessment ; Peptidyl-Dipeptidase A ; protein expression ; quantitative trait locus ; real time polymerase chain reaction ; Receptors, Coronavirus ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; single nucleotide polymorphism</subject><ispartof>Circulation (New York, N.Y.), 2022-05, Vol.145 (18), p.1398-1411</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>2022 The Authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7065-65e6b3b9ede470162d5d5cc8503d016b92aaed228cf4cf49cfea5f595f9362b03</citedby><cites>FETCH-LOGICAL-c7065-65e6b3b9ede470162d5d5cc8503d016b92aaed228cf4cf49cfea5f595f9362b03</cites><orcidid>0000-0003-2335-8542 ; 0000-0002-6361-5059 ; 0000-0003-2815-1217 ; 0000-0003-2358-0143 ; 0000-0003-4803-8633 ; 0000-0003-3771-8537 ; 0000-0002-1427-4470 ; 0000-0002-5017-7344 ; 0000-0002-7214-2257 ; 0000-0002-7892-193X ; 0000-0002-7986-8560 ; 0000-0002-2152-4343 ; 0000-0003-1843-8724 ; 0000-0002-9405-9550 ; 0000-0003-3105-8929 ; 0000-0002-5834-9120 ; 0000-0002-0641-4330 ; 0000-0002-2129-5704 ; 0000-0001-8141-8449 ; 0000-0002-1791-6176 ; 0000-0001-9673-9712 ; 0000-0002-6915-9015 ; 0000-0002-5363-3886 ; 0000-0003-3962-7436 ; 0000-0003-0708-9530 ; 0000-0002-0451-6536 ; 0000-0003-2349-0009 ; 0000-0003-4390-1979 ; 0000-0002-1225-1021 ; 0000-0003-2314-4448</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35387486$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312812$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-474876$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/d3eadae5-454a-4246-af7d-6a3200ad2bf2$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:149405355$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Zhijian</creatorcontrib><creatorcontrib>Macdonald-Dunlop, Erin</creatorcontrib><creatorcontrib>Chen, Jiantao</creatorcontrib><creatorcontrib>Zhai, Ranran</creatorcontrib><creatorcontrib>Li, Ting</creatorcontrib><creatorcontrib>Richmond, Anne</creatorcontrib><creatorcontrib>Klarić, Lucija</creatorcontrib><creatorcontrib>Pirastu, Nicola</creatorcontrib><creatorcontrib>Ning, Zheng</creatorcontrib><creatorcontrib>Zheng, Chenqing</creatorcontrib><creatorcontrib>Wang, Yipeng</creatorcontrib><creatorcontrib>Huang, Tingting</creatorcontrib><creatorcontrib>He, Yazhou</creatorcontrib><creatorcontrib>Guo, Huiming</creatorcontrib><creatorcontrib>Ying, Kejun</creatorcontrib><creatorcontrib>Gustafsson, Stefan</creatorcontrib><creatorcontrib>Prins, Bram</creatorcontrib><creatorcontrib>Ramisch, Anna</creatorcontrib><creatorcontrib>Dermitzakis, Emmanouil T.</creatorcontrib><creatorcontrib>Png, Grace</creatorcontrib><creatorcontrib>Eriksson, Niclas</creatorcontrib><creatorcontrib>Haessler, Jeffrey</creatorcontrib><creatorcontrib>Hu, Xiaowei</creatorcontrib><creatorcontrib>Zanetti, Daniela</creatorcontrib><creatorcontrib>Boutin, Thibaud</creatorcontrib><creatorcontrib>Hwang, Shih-Jen</creatorcontrib><creatorcontrib>Wheeler, Eleanor</creatorcontrib><creatorcontrib>Pietzner, Maik</creatorcontrib><creatorcontrib>Raffield, Laura M.</creatorcontrib><creatorcontrib>Kalnapenkis, Anette</creatorcontrib><creatorcontrib>Peters, James E.</creatorcontrib><creatorcontrib>Viñuela, Ana</creatorcontrib><creatorcontrib>Gilly, Arthur</creatorcontrib><creatorcontrib>Elmståhl, Sölve</creatorcontrib><creatorcontrib>Dedoussis, George</creatorcontrib><creatorcontrib>Petrie, John R.</creatorcontrib><creatorcontrib>Polašek, Ozren</creatorcontrib><creatorcontrib>Folkersen, Lasse</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Yao, Chen</creatorcontrib><creatorcontrib>Võsa, Urmo</creatorcontrib><creatorcontrib>Pairo-Castineira, Erola</creatorcontrib><creatorcontrib>Clohisey, Sara</creatorcontrib><creatorcontrib>Bretherick, Andrew D.</creatorcontrib><creatorcontrib>Rawlik, Konrad</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Enroth, Stefan</creatorcontrib><creatorcontrib>Johansson, Åsa</creatorcontrib><creatorcontrib>Gyllensten, Ulf</creatorcontrib><creatorcontrib>Langenberg, Claudia</creatorcontrib><creatorcontrib>Levy, Daniel</creatorcontrib><creatorcontrib>Hayward, Caroline</creatorcontrib><creatorcontrib>Assimes, Themistocles L.</creatorcontrib><creatorcontrib>Kooperberg, Charles</creatorcontrib><creatorcontrib>Manichaikul, Ani W.</creatorcontrib><creatorcontrib>Siegbahn, Agneta</creatorcontrib><creatorcontrib>Wallentin, Lars</creatorcontrib><creatorcontrib>Lind, Lars</creatorcontrib><creatorcontrib>Zeggini, Eleftheria</creatorcontrib><creatorcontrib>Schwenk, Jochen M.</creatorcontrib><creatorcontrib>Butterworth, Adam S.</creatorcontrib><creatorcontrib>Michaëlsson, Karl</creatorcontrib><creatorcontrib>Pawitan, Yudi</creatorcontrib><creatorcontrib>Joshi, Peter K.</creatorcontrib><creatorcontrib>Baillie, J. Kenneth</creatorcontrib><creatorcontrib>Mälarstig, Anders</creatorcontrib><creatorcontrib>Reiner, Alexander P.</creatorcontrib><creatorcontrib>Wilson, James F.</creatorcontrib><creatorcontrib>Shen, Xia</creatorcontrib><creatorcontrib>GenOMICC Consortium</creatorcontrib><creatorcontrib>IMI-DIRECT Consortium</creatorcontrib><creatorcontrib>IMI-DIRECT Consortium</creatorcontrib><creatorcontrib>GenOMICC Consortium</creatorcontrib><creatorcontrib>et al</creatorcontrib><title>Genetic Landscape of the ACE2 Coronavirus Receptor</title><title>Circulation (New York, N.Y.)</title><addtitle>Circulation</addtitle><description>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.
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.
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];
=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21];
=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37];
=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.
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.</description><subject>angiotensin converting enzyme 2</subject><subject>Angiotensin-Converting Enzyme 2 - genetics</subject><subject>Basic Medicine</subject><subject>cardiometabolic risk</subject><subject>cardiovascular disease</subject><subject>cardiovascular diseases</subject><subject>chromosome analysis</subject><subject>computer model</subject><subject>coronavirus disease 2019</subject><subject>COVID-19</subject><subject>COVID-19 - genetics</subject><subject>Cross-Sectional Studies</subject><subject>cross-sectional study</subject><subject>data extraction</subject><subject>dipeptidyl carboxypeptidase</subject><subject>disorder of sex development</subject><subject>gene amplification</subject><subject>gene expression</subject><subject>gene frequency</subject><subject>genetic analysis</subject><subject>genetic correlation</subject><subject>genetic profile</subject><subject>genetic variability</subject><subject>genetics</subject><subject>Genome-Wide Association Study</subject><subject>genotype</subject><subject>heritability</subject><subject>human</subject><subject>human cell</subject><subject>Humans</subject><subject>information processing</subject><subject>information retrieval</subject><subject>Medical and Health Sciences</subject><subject>Medical Genetics</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicinsk genetik</subject><subject>Medicinska och farmaceutiska grundvetenskaper</subject><subject>meta analysis</subject><subject>metabolism</subject><subject>omics</subject><subject>Original s</subject><subject>outcome assessment</subject><subject>Peptidyl-Dipeptidase A</subject><subject>protein expression</subject><subject>quantitative trait locus</subject><subject>real time polymerase chain reaction</subject><subject>Receptors, Coronavirus</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>single nucleotide polymorphism</subject><issn>0009-7322</issn><issn>1524-4539</issn><issn>1524-4539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kltv0zAYhi0EYqPwF1C444IUn53cIEVhbJUqJk0bt5Zjf1lD07jYySr-Pa5aKnoxpFjx4XlfH74XoQ8EzwmR5HO9uKsfltX94vZ7dVPNCSVzLFRRFC_QJRGU51yw8iW6xBiXuWKUXqA3Mf5MQ8mUeI0umGCF4oW8RPQaBhg7my3N4KI1W8h8m40ryKr6ima1D34wT12YYnYHFrajD2_Rq9b0Ed4d_zP08O3qvr7Jl7fXi7pa5lZhKXIpQDasKcEBV5hI6oQT1hYCM5eGTUmNAUdpYVuevtK2YEQrStGWTNIGsxnKD75xB9up0dvQbUz4rb3p9HFqnXqgueBUqMQvn-X7aZtak9pe4BgYZ0DslUZzyqU2rXJaGkYxNo42LU12n561-9r9qLQPj3qaNE8PqeR_T3vC1-NKM0ILsrf_cuATvAFnYRiD6c9k5ytDt9KP_kmXmCuZCjxDH48Gwf-aII5600ULfW8G8FPUVPICS5oKndDygNrgYwzQnrYhWO8Tpc8TpVOi9CFRSfv-33OelH8jlAB-AHa-HyHEdT_tIOgVmD7dNmUOM0xUTjGlONUe5_spwf4AGQTZcA</recordid><startdate>20220503</startdate><enddate>20220503</enddate><creator>Yang, Zhijian</creator><creator>Macdonald-Dunlop, Erin</creator><creator>Chen, Jiantao</creator><creator>Zhai, 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Kenneth ; Mälarstig, Anders ; Reiner, Alexander P. ; Wilson, James F. ; Shen, Xia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7065-65e6b3b9ede470162d5d5cc8503d016b92aaed228cf4cf49cfea5f595f9362b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>angiotensin converting enzyme 2</topic><topic>Angiotensin-Converting Enzyme 2 - genetics</topic><topic>Basic Medicine</topic><topic>cardiometabolic risk</topic><topic>cardiovascular disease</topic><topic>cardiovascular diseases</topic><topic>chromosome analysis</topic><topic>computer model</topic><topic>coronavirus disease 2019</topic><topic>COVID-19</topic><topic>COVID-19 - genetics</topic><topic>Cross-Sectional Studies</topic><topic>cross-sectional study</topic><topic>data extraction</topic><topic>dipeptidyl carboxypeptidase</topic><topic>disorder of sex development</topic><topic>gene amplification</topic><topic>gene expression</topic><topic>gene frequency</topic><topic>genetic analysis</topic><topic>genetic correlation</topic><topic>genetic profile</topic><topic>genetic variability</topic><topic>genetics</topic><topic>Genome-Wide Association Study</topic><topic>genotype</topic><topic>heritability</topic><topic>human</topic><topic>human cell</topic><topic>Humans</topic><topic>information processing</topic><topic>information retrieval</topic><topic>Medical and Health Sciences</topic><topic>Medical Genetics</topic><topic>Medicin och hälsovetenskap</topic><topic>Medicinsk genetik</topic><topic>Medicinska och farmaceutiska grundvetenskaper</topic><topic>meta analysis</topic><topic>metabolism</topic><topic>omics</topic><topic>Original s</topic><topic>outcome assessment</topic><topic>Peptidyl-Dipeptidase A</topic><topic>protein expression</topic><topic>quantitative trait locus</topic><topic>real time polymerase chain reaction</topic><topic>Receptors, Coronavirus</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>single nucleotide polymorphism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Zhijian</creatorcontrib><creatorcontrib>Macdonald-Dunlop, Erin</creatorcontrib><creatorcontrib>Chen, Jiantao</creatorcontrib><creatorcontrib>Zhai, Ranran</creatorcontrib><creatorcontrib>Li, Ting</creatorcontrib><creatorcontrib>Richmond, Anne</creatorcontrib><creatorcontrib>Klarić, Lucija</creatorcontrib><creatorcontrib>Pirastu, Nicola</creatorcontrib><creatorcontrib>Ning, Zheng</creatorcontrib><creatorcontrib>Zheng, Chenqing</creatorcontrib><creatorcontrib>Wang, Yipeng</creatorcontrib><creatorcontrib>Huang, Tingting</creatorcontrib><creatorcontrib>He, Yazhou</creatorcontrib><creatorcontrib>Guo, Huiming</creatorcontrib><creatorcontrib>Ying, Kejun</creatorcontrib><creatorcontrib>Gustafsson, Stefan</creatorcontrib><creatorcontrib>Prins, 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Ozren</creatorcontrib><creatorcontrib>Folkersen, Lasse</creatorcontrib><creatorcontrib>Chen, Yan</creatorcontrib><creatorcontrib>Yao, Chen</creatorcontrib><creatorcontrib>Võsa, Urmo</creatorcontrib><creatorcontrib>Pairo-Castineira, Erola</creatorcontrib><creatorcontrib>Clohisey, Sara</creatorcontrib><creatorcontrib>Bretherick, Andrew D.</creatorcontrib><creatorcontrib>Rawlik, Konrad</creatorcontrib><creatorcontrib>Esko, Tõnu</creatorcontrib><creatorcontrib>Enroth, Stefan</creatorcontrib><creatorcontrib>Johansson, Åsa</creatorcontrib><creatorcontrib>Gyllensten, Ulf</creatorcontrib><creatorcontrib>Langenberg, Claudia</creatorcontrib><creatorcontrib>Levy, Daniel</creatorcontrib><creatorcontrib>Hayward, Caroline</creatorcontrib><creatorcontrib>Assimes, Themistocles L.</creatorcontrib><creatorcontrib>Kooperberg, Charles</creatorcontrib><creatorcontrib>Manichaikul, Ani W.</creatorcontrib><creatorcontrib>Siegbahn, Agneta</creatorcontrib><creatorcontrib>Wallentin, Lars</creatorcontrib><creatorcontrib>Lind, Lars</creatorcontrib><creatorcontrib>Zeggini, Eleftheria</creatorcontrib><creatorcontrib>Schwenk, Jochen M.</creatorcontrib><creatorcontrib>Butterworth, Adam S.</creatorcontrib><creatorcontrib>Michaëlsson, Karl</creatorcontrib><creatorcontrib>Pawitan, Yudi</creatorcontrib><creatorcontrib>Joshi, Peter K.</creatorcontrib><creatorcontrib>Baillie, J. Kenneth</creatorcontrib><creatorcontrib>Mälarstig, Anders</creatorcontrib><creatorcontrib>Reiner, Alexander P.</creatorcontrib><creatorcontrib>Wilson, James F.</creatorcontrib><creatorcontrib>Shen, Xia</creatorcontrib><creatorcontrib>GenOMICC Consortium</creatorcontrib><creatorcontrib>IMI-DIRECT Consortium</creatorcontrib><creatorcontrib>IMI-DIRECT Consortium</creatorcontrib><creatorcontrib>GenOMICC Consortium</creatorcontrib><creatorcontrib>et al</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SWEPUB Kungliga Tekniska Högskolan full text</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><collection>SwePub Articles full text</collection><collection>SWEPUB Uppsala universitet full text</collection><collection>SWEPUB Uppsala universitet</collection><collection>SWEPUB Lunds universitet full text</collection><collection>SWEPUB Lunds universitet</collection><jtitle>Circulation (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Zhijian</au><au>Macdonald-Dunlop, Erin</au><au>Chen, Jiantao</au><au>Zhai, Ranran</au><au>Li, Ting</au><au>Richmond, Anne</au><au>Klarić, Lucija</au><au>Pirastu, Nicola</au><au>Ning, Zheng</au><au>Zheng, Chenqing</au><au>Wang, Yipeng</au><au>Huang, Tingting</au><au>He, Yazhou</au><au>Guo, Huiming</au><au>Ying, Kejun</au><au>Gustafsson, Stefan</au><au>Prins, Bram</au><au>Ramisch, Anna</au><au>Dermitzakis, Emmanouil T.</au><au>Png, Grace</au><au>Eriksson, Niclas</au><au>Haessler, Jeffrey</au><au>Hu, Xiaowei</au><au>Zanetti, Daniela</au><au>Boutin, Thibaud</au><au>Hwang, Shih-Jen</au><au>Wheeler, Eleanor</au><au>Pietzner, Maik</au><au>Raffield, Laura M.</au><au>Kalnapenkis, Anette</au><au>Peters, James E.</au><au>Viñuela, Ana</au><au>Gilly, Arthur</au><au>Elmståhl, Sölve</au><au>Dedoussis, George</au><au>Petrie, John R.</au><au>Polašek, Ozren</au><au>Folkersen, Lasse</au><au>Chen, Yan</au><au>Yao, Chen</au><au>Võsa, Urmo</au><au>Pairo-Castineira, Erola</au><au>Clohisey, Sara</au><au>Bretherick, Andrew D.</au><au>Rawlik, Konrad</au><au>Esko, Tõnu</au><au>Enroth, Stefan</au><au>Johansson, Åsa</au><au>Gyllensten, Ulf</au><au>Langenberg, Claudia</au><au>Levy, Daniel</au><au>Hayward, Caroline</au><au>Assimes, Themistocles L.</au><au>Kooperberg, Charles</au><au>Manichaikul, Ani W.</au><au>Siegbahn, Agneta</au><au>Wallentin, Lars</au><au>Lind, Lars</au><au>Zeggini, Eleftheria</au><au>Schwenk, Jochen M.</au><au>Butterworth, Adam S.</au><au>Michaëlsson, Karl</au><au>Pawitan, Yudi</au><au>Joshi, Peter K.</au><au>Baillie, J. Kenneth</au><au>Mälarstig, Anders</au><au>Reiner, Alexander P.</au><au>Wilson, James F.</au><au>Shen, Xia</au><aucorp>GenOMICC Consortium</aucorp><aucorp>IMI-DIRECT Consortium</aucorp><aucorp>IMI-DIRECT Consortium</aucorp><aucorp>GenOMICC Consortium</aucorp><aucorp>et al</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic Landscape of the ACE2 Coronavirus Receptor</atitle><jtitle>Circulation (New York, N.Y.)</jtitle><addtitle>Circulation</addtitle><date>2022-05-03</date><risdate>2022</risdate><volume>145</volume><issue>18</issue><spage>1398</spage><epage>1411</epage><pages>1398-1411</pages><issn>0009-7322</issn><issn>1524-4539</issn><eissn>1524-4539</eissn><abstract>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.
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.
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];
=0.01), hospitalization (odds ratio, 1.52 [95% CI, 1.05-2.21];
=0.03), and infection (odds ratio, 1.60 [95% CI, 1.08-2.37];
=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.
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.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>35387486</pmid><doi>10.1161/CIRCULATIONAHA.121.057888</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2335-8542</orcidid><orcidid>https://orcid.org/0000-0002-6361-5059</orcidid><orcidid>https://orcid.org/0000-0003-2815-1217</orcidid><orcidid>https://orcid.org/0000-0003-2358-0143</orcidid><orcidid>https://orcid.org/0000-0003-4803-8633</orcidid><orcidid>https://orcid.org/0000-0003-3771-8537</orcidid><orcidid>https://orcid.org/0000-0002-1427-4470</orcidid><orcidid>https://orcid.org/0000-0002-5017-7344</orcidid><orcidid>https://orcid.org/0000-0002-7214-2257</orcidid><orcidid>https://orcid.org/0000-0002-7892-193X</orcidid><orcidid>https://orcid.org/0000-0002-7986-8560</orcidid><orcidid>https://orcid.org/0000-0002-2152-4343</orcidid><orcidid>https://orcid.org/0000-0003-1843-8724</orcidid><orcidid>https://orcid.org/0000-0002-9405-9550</orcidid><orcidid>https://orcid.org/0000-0003-3105-8929</orcidid><orcidid>https://orcid.org/0000-0002-5834-9120</orcidid><orcidid>https://orcid.org/0000-0002-0641-4330</orcidid><orcidid>https://orcid.org/0000-0002-2129-5704</orcidid><orcidid>https://orcid.org/0000-0001-8141-8449</orcidid><orcidid>https://orcid.org/0000-0002-1791-6176</orcidid><orcidid>https://orcid.org/0000-0001-9673-9712</orcidid><orcidid>https://orcid.org/0000-0002-6915-9015</orcidid><orcidid>https://orcid.org/0000-0002-5363-3886</orcidid><orcidid>https://orcid.org/0000-0003-3962-7436</orcidid><orcidid>https://orcid.org/0000-0003-0708-9530</orcidid><orcidid>https://orcid.org/0000-0002-0451-6536</orcidid><orcidid>https://orcid.org/0000-0003-2349-0009</orcidid><orcidid>https://orcid.org/0000-0003-4390-1979</orcidid><orcidid>https://orcid.org/0000-0002-1225-1021</orcidid><orcidid>https://orcid.org/0000-0003-2314-4448</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | angiotensin converting enzyme 2 Angiotensin-Converting Enzyme 2 - genetics Basic Medicine cardiometabolic risk cardiovascular disease cardiovascular diseases chromosome analysis computer model coronavirus disease 2019 COVID-19 COVID-19 - genetics Cross-Sectional Studies cross-sectional study data extraction dipeptidyl carboxypeptidase disorder of sex development gene amplification gene expression gene frequency genetic analysis genetic correlation genetic profile genetic variability genetics Genome-Wide Association Study genotype heritability human human cell Humans information processing information retrieval Medical and Health Sciences Medical Genetics Medicin och hälsovetenskap Medicinsk genetik Medicinska och farmaceutiska grundvetenskaper meta analysis metabolism omics Original s outcome assessment Peptidyl-Dipeptidase A protein expression quantitative trait locus real time polymerase chain reaction Receptors, Coronavirus SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 single nucleotide polymorphism |
title | Genetic Landscape of the ACE2 Coronavirus Receptor |
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