Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals.
Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals.
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在586,157个人中，泛管理外显域的联想分析。
DOI：
10.1016/j.ajhg.2021.05.017
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发表时间：
2021-07-01
影响因子：
9.8
通讯作者：
Ferreira MAR
中科院分区：
文献类型：
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作者：
Kosmicki JA;Horowitz JE;Banerjee N;Lanche R;Marcketta A;Maxwell E;Bai X;Sun D;Backman JD;Sharma D;Kury FSP;Kang HM;O'Dushlaine C;Yadav A;Mansfield AJ;Li AH;Watanabe K;Gurski L;McCarthy SE;Locke AE;Khalid S;O'Keeffe S;Mbatchou J;Chazara O;Huang Y;Kvikstad E;O'Neill A;Nioi P;Parker MM;Petrovski S;Runz H;Szustakowski JD;Wang Q;Wong E;Cordova-Palomera A;Smith EN;Szalma S;Zheng X;Esmaeeli S;Davis JW;Lai YP;Chen X;Justice AE;Leader JB;Mirshahi T;Carey DJ;Verma A;Sirugo G;Ritchie MD;Rader DJ;Povysil G;Goldstein DB;Kiryluk K;Pairo-Castineira E;Rawlik K;Pasko D;Walker S;Meynert A;Kousathanas A;Moutsianas L;Tenesa A;Caulfield M;Scott R;Wilson JF;Baillie JK;Butler-Laporte G;Nakanishi T;Lathrop M;Richards JB;Regeneron Genetics Center;UKB Exome Sequencing Consortium;Jones M;Balasubramanian S;Salerno W;Shuldiner AR;Marchini J;Overton JD;Habegger L;Cantor MN;Reid JG;Baras A;Abecasis GR;Ferreira MAR
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser.
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危及生命的Covid-19患者中针对I型IFN的自身抗体。
DOI：
10.1126/science.abd4585
发表时间：
2020-10-23
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bastard P;Rosen LB;Zhang Q;Michailidis E;Hoffmann HH;Zhang Y;Dorgham K;Philippot Q;Rosain J;Béziat V;Manry J;Shaw E;Haljasmägi L;Peterson P;Lorenzo L;Bizien L;Trouillet-Assant S;Dobbs K;de Jesus AA;Belot A;Kallaste A;Catherinot E;Tandjaoui-Lambiotte Y;Le Pen J;Kerner G;Bigio B;Seeleuthner Y;Yang R;Bolze A;Spaan AN;Delmonte OM;Abers MS;Aiuti A;Casari G;Lampasona V;Piemonti L;Ciceri F;Bilguvar K;Lifton RP;Vasse M;Smadja DM;Migaud M;Hadjadj J;Terrier B;Duffy D;Quintana-Murci L;van de Beek D;Roussel L;Vinh DC;Tangye SG;Haerynck F;Dalmau D;Martinez-Picado J;Brodin P;Nussenzweig MC;Boisson-Dupuis S;Rodríguez-Gallego C;Vogt G;Mogensen TH;Oler AJ;Gu J;Burbelo PD;Cohen JI;Biondi A;Bettini LR;D'Angio M;Bonfanti P;Rossignol P;Mayaux J;Rieux-Laucat F;Husebye ES;Fusco F;Ursini MV;Imberti L;Sottini A;Paghera S;Quiros-Roldan E;Rossi C;Castagnoli R;Montagna D;Licari A;Marseglia GL;Duval X;Ghosn J;HGID Lab;NIAID-USUHS Immune Response to COVID Group;COVID Clinicians;COVID-STORM Clinicians;Imagine COVID Group;French COVID Cohort Study Group;Milieu Intérieur Consortium;CoV-Contact Cohort;Amsterdam UMC Covid-19 Biobank;COVID Human Genetic Effort;Tsang JS;Goldbach-Mansky R;Kisand K;Lionakis MS;Puel A;Zhang SY;Holland SM;Gorochov G;Jouanguy E;Rice CM;Cobat A;Notarangelo LD;Abel L;Su HC;Casanova JL
通讯作者：
Casanova JL
影响因子：
64.8
作者：
COVID-19 Host Genetics Initiative
通讯作者：
COVID-19 Host Genetics Initiative
影响因子：
5.8
作者：
Moreno-Eutimio, Mario Adan;Lopez-Macias, Constantino;Pastelin-Palacios, Rodolfo
通讯作者：
Pastelin-Palacios, Rodolfo
影响因子：
28.3
作者：
Gorbalenya, Alexander E.;Baker, Susan C.;Ziebuhr, John
通讯作者：
Ziebuhr, John
影响因子：
5.2
作者：
Zhang, Baoge;Goraya, Mohsan Ullah;Chen, Ji-Long
通讯作者：
Chen, Ji-Long