Mapping the human genetic architecture of COVID-19

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Mapping the human genetic architecture of COVID-19. / Niemi, Mari E. K.; Karjalainen, Juha; Liao, Rachel G.; Neale, Benjamin M.; Daly, Mark; Ganna, Andrea; Pathak, Gita A.; Andrews, Shea J.; Kanai, Masahiro; Veerapen, Kumar; Fernandez-Cadenas, Israel; Schulte, Eva C.; Striano, Pasquale; Marttila, Minttu; Minica, Camelia; Marouli, Eirini; Karim, Mohd Anisul; Wendt, Frank R.; Savage, Jeanne; Sloofman, Laura; Butler-Laporte, Guillaume; Kim, Han-Na; Kanoni, Stavroula; Okada, Yukinori; Byun, Jinyoung; Han, Younghun; Uddin, Mohammed Jashim; Smith, George Davey; Willer, Cristen J.; Buxbaum, Joseph D.; Karjalainen, Juha; Mehtonen, Juha; Folkersen, Lasse; Moltke, Ida; Hinney, Anke; Wang, Chen; Ellinghaus, David; Brunak, Søren; Castro, Pedro; Guindo-Martinez, Marta; Lee, Ji Yeon; Loos, Ruth J. F.; Zhao, Jing Hua; Sun, Yan V.; Wang, Bo; Parker, Robert; Garcia, Sara Mingo; Smith, Oliver; Davis, Christopher; COVID-19 Host Genetics Initiative; 23andMe COVID-19 Team; Norwegian SARS-CoV-2 Study Grp; Humanitas COVID-19 Task Force; Humanitas Gavazzeni COVID-19 Task; FHoGID; RegCOVID; P-PredictUs; SeroCOVID; CRiPSI; Genes & Hlth Res Team; UCLA Hlth ATLAS Data Mart Working.

In: Nature, Vol. 600, 2021, p. 472-477.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Niemi, MEK, Karjalainen, J, Liao, RG, Neale, BM, Daly, M, Ganna, A, Pathak, GA, Andrews, SJ, Kanai, M, Veerapen, K, Fernandez-Cadenas, I, Schulte, EC, Striano, P, Marttila, M, Minica, C, Marouli, E, Karim, MA, Wendt, FR, Savage, J, Sloofman, L, Butler-Laporte, G, Kim, H-N, Kanoni, S, Okada, Y, Byun, J, Han, Y, Uddin, MJ, Smith, GD, Willer, CJ, Buxbaum, JD, Karjalainen, J, Mehtonen, J, Folkersen, L, Moltke, I, Hinney, A, Wang, C, Ellinghaus, D, Brunak, S, Castro, P, Guindo-Martinez, M, Lee, JY, Loos, RJF, Zhao, JH, Sun, YV, Wang, B, Parker, R, Garcia, SM, Smith, O, Davis, C, COVID-19 Host Genetics Initiative, 23andMe COVID-19 Team, Norwegian SARS-CoV-2 Study Grp, Humanitas COVID-19 Task Force, Humanitas Gavazzeni COVID-19 Task, FHoGID, RegCOVID, P-PredictUs, SeroCOVID, CRiPSI, Genes & Hlth Res Team & UCLA Hlth ATLAS Data Mart Working 2021, 'Mapping the human genetic architecture of COVID-19', Nature, vol. 600, pp. 472-477. https://doi.org/10.1038/s41586-021-03767-x

APA

Niemi, M. E. K., Karjalainen, J., Liao, R. G., Neale, B. M., Daly, M., Ganna, A., Pathak, G. A., Andrews, S. J., Kanai, M., Veerapen, K., Fernandez-Cadenas, I., Schulte, E. C., Striano, P., Marttila, M., Minica, C., Marouli, E., Karim, M. A., Wendt, F. R., Savage, J., ... UCLA Hlth ATLAS Data Mart Working (2021). Mapping the human genetic architecture of COVID-19. Nature, 600, 472-477. https://doi.org/10.1038/s41586-021-03767-x

Vancouver

Niemi MEK, Karjalainen J, Liao RG, Neale BM, Daly M, Ganna A et al. Mapping the human genetic architecture of COVID-19. Nature. 2021;600:472-477. https://doi.org/10.1038/s41586-021-03767-x

Author

Niemi, Mari E. K. ; Karjalainen, Juha ; Liao, Rachel G. ; Neale, Benjamin M. ; Daly, Mark ; Ganna, Andrea ; Pathak, Gita A. ; Andrews, Shea J. ; Kanai, Masahiro ; Veerapen, Kumar ; Fernandez-Cadenas, Israel ; Schulte, Eva C. ; Striano, Pasquale ; Marttila, Minttu ; Minica, Camelia ; Marouli, Eirini ; Karim, Mohd Anisul ; Wendt, Frank R. ; Savage, Jeanne ; Sloofman, Laura ; Butler-Laporte, Guillaume ; Kim, Han-Na ; Kanoni, Stavroula ; Okada, Yukinori ; Byun, Jinyoung ; Han, Younghun ; Uddin, Mohammed Jashim ; Smith, George Davey ; Willer, Cristen J. ; Buxbaum, Joseph D. ; Karjalainen, Juha ; Mehtonen, Juha ; Folkersen, Lasse ; Moltke, Ida ; Hinney, Anke ; Wang, Chen ; Ellinghaus, David ; Brunak, Søren ; Castro, Pedro ; Guindo-Martinez, Marta ; Lee, Ji Yeon ; Loos, Ruth J. F. ; Zhao, Jing Hua ; Sun, Yan V. ; Wang, Bo ; Parker, Robert ; Garcia, Sara Mingo ; Smith, Oliver ; Davis, Christopher ; COVID-19 Host Genetics Initiative ; 23andMe COVID-19 Team ; Norwegian SARS-CoV-2 Study Grp ; Humanitas COVID-19 Task Force ; Humanitas Gavazzeni COVID-19 Task ; FHoGID ; RegCOVID ; P-PredictUs ; SeroCOVID ; CRiPSI ; Genes & Hlth Res Team ; UCLA Hlth ATLAS Data Mart Working. / Mapping the human genetic architecture of COVID-19. In: Nature. 2021 ; Vol. 600. pp. 472-477.

Bibtex

@article{d3c1115dcd5a41df9972da45e7acdb97,
title = "Mapping the human genetic architecture of COVID-19",
abstract = "The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19(1,2), host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases(3-7). They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.",
keywords = "GENOME-WIDE ASSOCIATION, SUSCEPTIBILITY LOCI, HERITABILITY, METAANALYSIS",
author = "Niemi, {Mari E. K.} and Juha Karjalainen and Liao, {Rachel G.} and Neale, {Benjamin M.} and Mark Daly and Andrea Ganna and Pathak, {Gita A.} and Andrews, {Shea J.} and Masahiro Kanai and Kumar Veerapen and Israel Fernandez-Cadenas and Schulte, {Eva C.} and Pasquale Striano and Minttu Marttila and Camelia Minica and Eirini Marouli and Karim, {Mohd Anisul} and Wendt, {Frank R.} and Jeanne Savage and Laura Sloofman and Guillaume Butler-Laporte and Han-Na Kim and Stavroula Kanoni and Yukinori Okada and Jinyoung Byun and Younghun Han and Uddin, {Mohammed Jashim} and Smith, {George Davey} and Willer, {Cristen J.} and Buxbaum, {Joseph D.} and Juha Karjalainen and Juha Mehtonen and Lasse Folkersen and Ida Moltke and Anke Hinney and Chen Wang and David Ellinghaus and S{\o}ren Brunak and Pedro Castro and Marta Guindo-Martinez and Lee, {Ji Yeon} and Loos, {Ruth J. F.} and Zhao, {Jing Hua} and Sun, {Yan V.} and Bo Wang and Robert Parker and Garcia, {Sara Mingo} and Oliver Smith and Christopher Davis and {COVID-19 Host Genetics Initiative} and {23andMe COVID-19 Team} and {Norwegian SARS-CoV-2 Study Grp} and {Humanitas COVID-19 Task Force} and {Humanitas Gavazzeni COVID-19 Task} and FHoGID and RegCOVID and P-PredictUs and SeroCOVID and CRiPSI and {Genes & Hlth Res Team} and {UCLA Hlth ATLAS Data Mart Working}",
year = "2021",
doi = "10.1038/s41586-021-03767-x",
language = "English",
volume = "600",
pages = "472--477",
journal = "Nature",
issn = "0028-0836",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Mapping the human genetic architecture of COVID-19

AU - Niemi, Mari E. K.

AU - Karjalainen, Juha

AU - Liao, Rachel G.

AU - Neale, Benjamin M.

AU - Daly, Mark

AU - Ganna, Andrea

AU - Pathak, Gita A.

AU - Andrews, Shea J.

AU - Kanai, Masahiro

AU - Veerapen, Kumar

AU - Fernandez-Cadenas, Israel

AU - Schulte, Eva C.

AU - Striano, Pasquale

AU - Marttila, Minttu

AU - Minica, Camelia

AU - Marouli, Eirini

AU - Karim, Mohd Anisul

AU - Wendt, Frank R.

AU - Savage, Jeanne

AU - Sloofman, Laura

AU - Butler-Laporte, Guillaume

AU - Kim, Han-Na

AU - Kanoni, Stavroula

AU - Okada, Yukinori

AU - Byun, Jinyoung

AU - Han, Younghun

AU - Uddin, Mohammed Jashim

AU - Smith, George Davey

AU - Willer, Cristen J.

AU - Buxbaum, Joseph D.

AU - Karjalainen, Juha

AU - Mehtonen, Juha

AU - Folkersen, Lasse

AU - Moltke, Ida

AU - Hinney, Anke

AU - Wang, Chen

AU - Ellinghaus, David

AU - Brunak, Søren

AU - Castro, Pedro

AU - Guindo-Martinez, Marta

AU - Lee, Ji Yeon

AU - Loos, Ruth J. F.

AU - Zhao, Jing Hua

AU - Sun, Yan V.

AU - Wang, Bo

AU - Parker, Robert

AU - Garcia, Sara Mingo

AU - Smith, Oliver

AU - Davis, Christopher

AU - COVID-19 Host Genetics Initiative

AU - 23andMe COVID-19 Team

AU - Norwegian SARS-CoV-2 Study Grp

AU - Humanitas COVID-19 Task Force

AU - Humanitas Gavazzeni COVID-19 Task

AU - FHoGID

AU - RegCOVID

AU - P-PredictUs

AU - SeroCOVID

AU - CRiPSI

AU - Genes & Hlth Res Team

AU - UCLA Hlth ATLAS Data Mart Working

PY - 2021

Y1 - 2021

N2 - The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19(1,2), host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases(3-7). They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.

AB - The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19(1,2), host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases(3-7). They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.

KW - GENOME-WIDE ASSOCIATION

KW - SUSCEPTIBILITY LOCI

KW - HERITABILITY

KW - METAANALYSIS

U2 - 10.1038/s41586-021-03767-x

DO - 10.1038/s41586-021-03767-x

M3 - Journal article

C2 - 34237774

VL - 600

SP - 472

EP - 477

JO - Nature

JF - Nature

SN - 0028-0836

ER -

ID: 291675535