Mapping the human genetic architecture of COVID-19

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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 , Niemi , M E K , Karjalainen , J , Liao , R G , Neale , B M , Daly , M J , Ganna , A , Pathak , G A , Andrews , S J , Kanai , M , Marttila , M , Karjalainen , J , Mehtonen , J , Niemi , M E K , Cordioli , M , Ganna , A , Nakanishi , T , Kaunisto , M , Marttila , M , Marttila , M , Nakanishi , T , Cordioli , M , Pigazzini , S , Nakanishi , T , Li , R , Ganna , A , Niemi , M E K , Cordioli , M , Pigazzini , S , Karjalainen , J , Perola , M , Donner , K , Kivinen , K , Palotie , A , Kaunisto , M , Niemi , M E K , Cordioli , M , Pigazzini , S , Niemi , M E K , Cordioli , M , Pigazzini , S , Niemi , M E K , Cordioli , M , Pigazzini , S , Ding , Y , Nakanishi , T , Daly , M J & Neale , B M 2021 , ' Mapping the human genetic architecture of COVID-19 ' , Nature , vol. 600 , no. 7889 , pp. 472–477 .

Title: Mapping the human genetic architecture of COVID-19
Author: 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; Niemi, Mari E. K.; Karjalainen, Juha; Liao, Rachel G.; Neale, Benjamin M.; Daly, Mark J.; Ganna, Andrea; Pathak, Gita A.; Andrews, Shea J.; Kanai, Masahiro; Marttila, Minttu; Karjalainen, Juha; Mehtonen, Juha; Niemi, Mari E. K.; Cordioli, Mattia; Ganna, Andrea; Nakanishi, Tomoko; Kaunisto, Mari; Marttila, Minttu; Marttila, Minttu; Nakanishi, Tomoko; Cordioli, Mattia; Pigazzini, Sara; Nakanishi, Tomoko; Li, Rui; Ganna, Andrea; Niemi, Mari E. K.; Cordioli, Mattia; Pigazzini, Sara; Karjalainen, Juha; Perola, Markus; Donner, Kati; Kivinen, Katja; Palotie, Aarno; Kaunisto, Mari; Niemi, Mari E. K.; Cordioli, Mattia; Pigazzini, Sara; Niemi, Mari E. K.; Cordioli, Mattia; Pigazzini, Sara; Niemi, Mari E. K.; Cordioli, Mattia; Pigazzini, Sara; Ding, Yi; Nakanishi, Tomoko; Daly, Mark J.; Neale, Benjamin M.
Contributor organization: Data Science Genetic Epidemiology Lab
Institute for Molecular Medicine Finland
University of Helsinki
Research Programs Unit
Doctoral Programme in Population Health
Centre of Excellence in Complex Disease Genetics
Aarno Palotie / Principal Investigator
Genomics of Neurological and Neuropsychiatric Disorders
Date: 2021-12
Language: eng
Number of pages: 36
Belongs to series: Nature
ISSN: 0028-0836
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.
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

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