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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-c7065-65e6b3b9ede470162d5d5cc8503d016b92aaed228cf4cf49cfea5f595f9362b03
cites cdi_FETCH-LOGICAL-c7065-65e6b3b9ede470162d5d5cc8503d016b92aaed228cf4cf49cfea5f595f9362b03
container_end_page 1411
container_issue 18
container_start_page 1398
container_title Circulation (New York, N.Y.)
container_volume 145
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
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Kenneth ; Mälarstig, Anders ; Reiner, Alexander P. ; Wilson, James F. ; Shen, Xia</creator><creatorcontrib>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 ; GenOMICC Consortium ; IMI-DIRECT Consortium ; IMI-DIRECT Consortium ; GenOMICC Consortium ; et al</creatorcontrib><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 &gt;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. 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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 &amp; 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 ; 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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 &gt;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, Ranran</creator><creator>Li, Ting</creator><creator>Richmond, Anne</creator><creator>Klarić, Lucija</creator><creator>Pirastu, Nicola</creator><creator>Ning, Zheng</creator><creator>Zheng, Chenqing</creator><creator>Wang, Yipeng</creator><creator>Huang, Tingting</creator><creator>He, Yazhou</creator><creator>Guo, Huiming</creator><creator>Ying, Kejun</creator><creator>Gustafsson, Stefan</creator><creator>Prins, Bram</creator><creator>Ramisch, Anna</creator><creator>Dermitzakis, Emmanouil T.</creator><creator>Png, Grace</creator><creator>Eriksson, Niclas</creator><creator>Haessler, Jeffrey</creator><creator>Hu, Xiaowei</creator><creator>Zanetti, Daniela</creator><creator>Boutin, Thibaud</creator><creator>Hwang, Shih-Jen</creator><creator>Wheeler, Eleanor</creator><creator>Pietzner, Maik</creator><creator>Raffield, Laura M.</creator><creator>Kalnapenkis, Anette</creator><creator>Peters, James E.</creator><creator>Viñuela, Ana</creator><creator>Gilly, Arthur</creator><creator>Elmståhl, 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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, 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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 &gt;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 &amp; 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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