51974f0ec6419dcdfaf9952e1cee8f81 pmc_34413139.pdf b240ce9954a5f107d25ea6816319b3769c4d7567 pmc_34413139.pdf 73f47b043a450761ad871dc4498b69cb67b6ed2c89911207c3db9857b12cd7ff pmc_34413139.pdf Title: Autoantibodies neutralizing type I IFNs are present in ~ 4% of uninfected individuals over 70 years and account for ~ 20% of COVID-19 deaths Author: Paul Bastard, Adrian Gervais, Tom Le Voyer, Jérémie Rosain, Quentin Philippot, Jérémy Manry, Eleftherios Michailidis, Hans-Heinrich Hoffmann, Shohei Eto, Marina Garcia-Prat, Lucy Bizien, Alba Parra-Martínez, Rui Yang, Liis Haljasmägi, Mélanie Migaud, Karita Särekannu, Julia Maslovskaja, Nicolas de Prost, Yacine Tandjaoui-Lambiotte, Charles-Edouard Luyt, Blanca Amador-Borrero, Alexandre Gaudet, Julien Poissy, Pascal Morel, Pascale Richard, Fabrice Cognasse, Jesus Troya, Sophie Trouillet-Assant, Alexandre Belot, Kahina Saker, Pierre Garçon, Jacques G. Rivière, Jean-Christophe Lagier, Stéphanie Gentile, Lindsey B. Rosen, Elana Shaw, Tomohiro Morio, Junko Tanaka, David Dalmau, Pierre-Louis Tharaux, Damien Sene, Alain Stepanian, Bruno Megarbane, Vasiliki Triantafyllia, Arnaud Fekkar, James R. Heath, José Luis Franco, Juan-Manuel Anaya, Jordi Solé-Violán, Luisa Imberti, Andrea Biondi, Paolo Bonfanti, Riccardo Castagnoli, Ottavia M. Delmonte, Yu Zhang, Andrew L. Snow, Steven M. Holland, Catherine Biggs, Marcela Moncada-Vélez, Andrés Augusto Arias, Lazaro Lorenzo, Soraya Boucherit, Boubacar Coulibaly, Dany Anglicheau, Anna M. Planas, Filomeen Haerynck, Sotirija Duvlis, Robert L. Nussbaum, Tayfun Ozcelik, Sevgi Keles, Ahmed A. Bousfiha, Jalila El Bakkouri, Carolina Ramirez-Santana, Stéphane Paul, Qiang Pan-Hammarström, Lennart Hammarström, Annabelle Dupont, Alina Kurolap, Christine N. Metz, Alessandro Aiuti, Giorgio Casari, Vito Lampasona, Fabio Ciceri, Lucila A. Barreiros, Elena Dominguez-Garrido, Mateus Vidigal, Mayana Zatz, Diederik van de Beek, Sabina Sahanic, Ivan Tancevski, Yurii Stepanovskyy, Oksana Boyarchuk, Yoko Nukui, Miyuki Tsumura, Loreto Vidaur, Stuart G. Tangye, Sonia Burrel, Darragh Duffy, Lluis Quintana-Murci, Adam Klocperk, Nelli Y. Kann, Anna Shcherbina, Yu-Lung Lau, Daniel Leung, Matthieu Coulongeat, Julien Marlet, Rutger Koning, Luis Felipe Reyes, Angélique Chauvineau-Grenier, Fabienne Venet, Guillaume Monneret, Michel C. Nussenzweig, Romain Arrestier, Idris Boudhabhay, Hagit Baris-Feldman, David Hagin, Joost Wauters, Isabelle Meyts, Adam H. Dyer, Sean P. Kennelly, Nollaig M. Bourke, Rabih Halwani, Narjes Saheb Sharif-Askari, Karim Dorgham, Jérome Sallette, Souad Mehlal Sedkaoui, Suzan AlKhater, Raúl Rigo-Bonnin, Francisco Morandeira, Lucie Roussel, Donald C. Vinh, Sisse Rye Ostrowski, Antonio Condino-Neto, Carolina Prando, Anastasiia Bonradenko, András N. Spaan, Laurent Gilardin, Jacques Fellay, Stanislas Lyonnet, Kaya Bilguvar, Richard P. Lifton, Shrikant Mane, , , , , , , , , , , , , , , , , , , Mark S. Anderson, Bertrand Boisson, Vivien Béziat, Shen-Ying Zhang, Evangelos Vandreakos, Olivier Hermine, Aurora Pujol, Pärt Peterson, Trine H. Mogensen, Lee Rowen, James Mond, Stéphanie Debette, Xavier de Lamballerie, Xavier Duval, France Mentré, Marie Zins, Pere Soler-Palacin, Roger Colobran, Guy Gorochov, Xavier Solanich, Sophie Susen, Javier Martinez-Picado, Didier Raoult, Marc Vasse, Peter K. Gregersen, Lorenzo Piemonti, Carlos Rodríguez-Gallego, Luigi D. Notarangelo, Helen C. Su, Kai Kisand, Satoshi Okada, Anne Puel, Emmanuelle Jouanguy, Charles M. Rice, Pierre Tiberghien, Qian Zhang, Aurélie Cobat, Laurent Abel, Jean-Laurent CasanovaHGID LabCOVID CliniciansCOVID-STORM CliniciansNIAID Immune Response to COVID GroupNH-COVAIR Study GroupDanish CHGEDanish Blood Donor StudySt. James’s Hospital, SARS CoV2 Interest groupFrench COVID Cohort Study GroupImagine COVID-GroupThe Milieu Intérieur ConsortiumCoV-Contact CohortAmsterdam UMC Covid-19 Biobank InvestigatorsCOVID Human Genetic EffortCONSTANCES cohort3C-Dijon StudyCerba Health-CareEtablissement du Sang study group Creator: AH Formatter V7.1 MR2 for Linux64 : 7.1.3.50324 (2021-04-26T09:47+09) Producer: Antenna House PDF Output Library 7.1.1639 CreationDate: Mon Oct 18 16:08:57 2021 CEST ModDate: Mon Oct 18 16:08:57 2021 CEST Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 64 Encrypted: no Page size: 612 x 792 pts (letter) Page rot: 0 File size: 1442388 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- Helvetica-Bold Type 1 Custom no no yes 11 0 Helvetica-Oblique Type 1 Standard no no no 13 0 Times-Roman Type 1 Custom no no yes 17 0 QWYSZG+Code2000 CID TrueType Identity-H yes yes yes 18 0 Helvetica Type 1 Custom no no yes 25 0 Times-Bold Type 1 Standard no no no 41 0 Times-BoldItalic Type 1 Standard no no no 3086 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2022-03-22 02:48:00 CET RepresentationInformation: pmc_34413139.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2022-02-27 18:49:21 CET Size: 1442388 Format: PDF Version: 1.5 Status: Well-Formed and valid SignatureMatches: PDF-hul ID: PDF-HUL-128 InfoMessage: Outlines contain recursive references. MIMEtype: application/pdf PDFMetadata: Objects: 0 FreeObjects: 394 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: EN Outlines: Item: Title: Abstract Item: Title: One-sentence summary Item: Title: Introduction Item: Title: Results Children: Item: Title: High and intermediate levels of IgG auto-Abs against IFN-͜㈶㄀㈀ 愀渀摜ഀ⼀漀爀 䤀䘀一ⴃ㄀ 椀渀 縀㈀　─ 漀昀 瀀愀琀椀攀渀琀猀 眀椀琀栀 挀爀椀琀椀挀愀氀 䌀伀嘀䤀䐀ⴀ㄀㤩ਯ䄠㰼 匠⽇潔漠⽄″㌳㌠〠删㸾ਯ偡牥湴″㌳〠〠删⽎數琠㌳㌴‰⁒‾㸊敮摯扪ਲ਼㌳㔠〠潢樊嬠ㄲ㈠〠删⽘奚畬氠㐹㘠湵汬⁝੥湤潢樊㌳㌴‰扪਼㰠⽔楴汥
㙜㌷㜀䄀甀琀漀ⴀ䄀戀猀 渀攀甀琀爀愀氀椀稀椀渀最 ㄀　渀最⼀洀䰀 䤀䘀一ⴃ㄀㈀ 愀渀搀⼀漀爀 ⴃ㄀ 椀渀 愀氀洀漀猀琀 ㄀　─ 漀晜ഀ 琀栀攀 挀爀椀琀椀挀愀氀 瀀愀琀椀攀渀琀猩ਯ䄠㰼 匠⽇潔漠⽄″㌳㔠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㌲‰⁒ 乥硴″㌳㘠〠删㸾੥湤潢樊㌳㌷‰扪ਜ਼‱㐱‰⁒ 塙娠湵汬‷㌲畬氠崊敮摯扪ਲ਼㌳㘠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀䄀甀琀漀ⴀ䄀戀猀 渀攀甀琀爀愀氀椀稀椀渀最 ㄀　　瀀最⼀洀䰀 䤀䘀一ⴃ㄀㈀ 愀渀搀⼀漀爀 ⴃ㄀ 椀渀 愀琀 氀攀愀猀琀 ㄀㌀⹜ഀ㘀─ 漀昀 挀爀椀琀椀挀愀氀 瀀愀琀椀攀渀琀猀 愀渀搀 㘀⸀㠀─ 漀昀 猀攀瘀攀爀攀 瀀愀琀椀攀渀琀猩ਯ䄠㰼 匠⽇潔漠⽄″㌳㜠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㌴‰⁒ 乥硴″㌳㠠〠删㸾੥湤潢樊㌳㌹‰扪ਜ਼‱㘴‰⁒ 塙娠湵汬‷㌲畬氠崊敮摯扪ਲ਼㌳㠠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀䄀甀琀漀ⴀ䄀戀猀 渀攀甀琀爀愀氀椀稀攀 氀漀眀 挀漀渀挀攀渀琀爀愀琀椀漀渀猀 漀昀 䤀䘀一ⴃ㄀㈀ 瀀爀漀琀攀挀琀椀瘀攀 愀最慜ഀ椀渀猀琀 匀䄀刀匀ⴀ䌀漀嘀ⴀ㈩ਯ䄠㰼 匠⽇潔漠⽄″㌳㤠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㌶‰⁒ 乥硴″㌴〠〠删㸾੥湤潢樊㌳㐱‰扪ਜ਼‱㘴‰⁒ 塙娠湵汬″㄰畬氠崊敮摯扪ਲ਼㌴〠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀一攀甀琀爀愀氀椀稀愀琀椀漀渀 漀昀 琀礀瀀攀 䤀 䤀䘀一猀 椀渀 琀栀攀 愀戀猀攀渀挀攀 漀昀 搀攀琀攀挀琀愀戀氀攀 愀甀琀潜ഀⴀ䄀戀猀 愀最愀椀渀猀琀 䤀䘀一ⴃ㄀㈀ 漀爀 ⴃㄩਯ䄠㰼 匠⽇潔漠⽄″㌴ㄠ〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㌸‰⁒ 乥硴″㌴㈠〠删㸾੥湤潢樊㌳㐳‰扪ਜ਼‱㠱‰⁒ 塙娠湵汬‶㜸畬氠崊敮摯扪ਲ਼㌴㈠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀䄀甀琀漀ⴀ䄀戀猀 琀礀瀀椀挀愀氀氀礀 渀攀甀琀爀愀氀椀稀攀 琀栀攀 ㄀㌀ 䤀䘀一ⴃ㄀ 猀甀戀琀礀瀀攀猀 愀渀搀⼀漀爀 䤀䘀一ⵜഃㄩਯ䄠㰼 匠⽇潔漠⽄″㌴㌠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㐰‰⁒ 乥硴″㌴㐠〠删㸾੥湤潢樊㌳㐵‰扪ਜ਼‱㠱‰⁒ 塙娠湵汬″ㄲ畬氠崊敮摯扪ਲ਼㌴㐠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀䄀甀琀漀ⴀ䄀戀猀 渀攀甀琀爀愀氀椀稀椀渀最 䤀䘀一ⴃ㈀ 椀渀 ㄀⸀㌀─ 漀昀 挀爀椀琀椀挀愀氀 瀀愀琀椀攀渀琀猩ਯ䄠㰼 匠⽇潔漠⽄″㌴㔠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㐲‰⁒ 乥硴″㌴㘠〠删㸾੥湤潢樊㌳㐷‰扪ਜ਼′〴‰⁒ 塙娠湵汬‶㌶畬氠崊敮摯扪ਲ਼㌴㘠〠潢樊㰼 呩瑬攠⡎敵瑲慬楺楮朠慵瑯ⵁ扳⁡条楮獴⁴祰攠䤠䥆乳⁩渠慴敡獴′〥映捲楴楣慬⁰慴楥湴猠潶敲‸〠祥慲猠潦⁡来 Item: Title: Neutralizing auto-Abs against type I IFNs in at least 18% of deceased patients Item: Title: Auto-Abs capable of neutralizing IFN-͜㈶㄀㈀ 愀渀搀⼀漀爀 䤀䘀一ⴃ㄀ 愀琀 ㄀　渀最⼀洀䱜ഀ 椀渀 　⸀㔀㌀─Ⰰ 愀渀搀 愀琀 ㄀　　瀀最⼀洀䰀 椀渀 ㈀⸀㌀─ 漀昀 椀渀搀椀瘀椀搀甀愀氀猀 昀爀漀洀 琀栀攀 最攀渀攀牜ഀ愀氀 瀀漀瀀甀氀愀琀椀漀温ਯ䄠㰼 匠⽇潔漠⽄″㌵ㄠ〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㐸‰⁒ 乥硴″㌵㈠〠删㸾੥湤潢樊㌳㔳‰扪ਜ਼′㌹‰⁒ 塙娠湵汬‶㌶畬氠崊敮摯扪ਲ਼㌵㈠〠潢樊㰼 呩瑬攠⡜㌷㙜㌷㜀匀栀愀爀瀀 椀渀挀爀攀愀猀攀 椀渀 琀栀攀 瀀爀攀瘀愀氀攀渀挀攀 漀昀 愀甀琀漀ⴀ䄀戀猀 愀最愀椀渀猀琀 䤀䘀一ⴃ㄀㈀ 愀渀摜ഀ⼀漀爀 䤀䘀一ⴃ㄀ 愀昀琀攀爀 琀栀攀 愀最攀 漀昀 㜀　 礀攀愀爀猀 椀渀 琀栀攀 最攀渀攀爀愀氀 瀀漀瀀甀氀愀琀椀漀温ਯ䄠㰼 匠⽇潔漠⽄″㌵㌠〠删㸾ਯ偡牥湴″㌳〠〠删⽐牥瘠㌳㔰‰⁒‾㸊敮摯扪ਲ਼㌳ㄠ〠潢樊嬠㠵‰⁒ 塙娠湵汬‴㈶畬氠崊敮摯扪ਲ਼㌳〠〠潢樊㰼⽃潵湴‭ㄱਯ䙩牳琠㌳㌲‰⁒ 䱡獴″㌵㈠〠删⽔楴汥
剥獵汴猩ਯ䄠㰼 匠⽇潔漠⽄″㌳ㄠ〠删㸾ਯ偡牥湴″㌲㌠〠删⽐牥瘠㌳㈸‰⁒ 乥硴″㌵㐠〠删㸾੥湤潢樊㌳㔵‰扪ਜ਼′㌹‰⁒ 塙娠湵汬‱㔸畬氠崊敮摯扪ਲ਼㌵㐠〠潢樊㰼 呩瑬攠⡄楳捵獳楯温ਯ䄠㰼 匠⽇潔漠⽄″㌵㔠〠删㸾ਯ偡牥湴″㌲㌠〠删⽐牥瘠㌳㌰‰⁒ 乥硴″㌵㘠〠删㸾੥湤潢樊㌳㔹‰扪ਜ਼′㠶‰⁒ 塙娠湵汬′㜹⸹㤶畬氠崊敮摯扪ਲ਼㌵㠠〠潢樊㰼 呩瑬攠⡓瑵摹⁤敳楧温ਯ䄠㰼 匠⽇潔漠⽄″㌵㤠〠删㸾ਯ偡牥湴″㌵㘠〠删⽎數琠㌳㘰‰⁒‾㸊敮摯扪ਲ਼㌶ㄠ〠潢樊嬠㈸㘠〠删⽘奚畬氠ㄷ㤮㤹㔹㜠湵汬⁝੥湤潢樊㌳㘰‰扪਼㰠⽔楴汥
䍏噉䐭ㄹ⁣污獳楦楣慴楯温ਯ䄠㰼 匠⽇潔漠⽄″㌶ㄠ〠删㸾ਯ偡牥湴″㌵㘠〠删⽐牥瘠㌳㔸‰⁒ 乥硴″㌶㈠〠删㸾੥湤潢樊㌳㘵‰扪ਜ਼″㈲‰⁒ 塙娠湵汬‶ㄸ畬氠崊敮摯扪ਲ਼㌶㐠〠潢樊㰼 呩瑬攠⡇祲潳 Item: Title: Multiplex particle-based assay Item: Title: Enzyme-linked immunosorbent assays (ELISA) Item: Title: Discussion Item: Title: Materials and methods Children: Item: Title: Study design Item: Title: COVID-19 classification Item: Title: Detection of anti-cytokine autoantibodies Children: Item: Title: Gyros Item: Title: Functional evaluation of anti-cytokine autoantibodies Children: Item: Title: Luciferase reporter assays Item: Title: pSTAT1 induction in PBMC Item: Title: Luciferase-based immunoprecipitation assay (LIPS) Item: Title: IgG purification Item: Title: Statistical analysis Item: Title: Schematic representation Item: Title: SARS-CoV-2 experiment Item: Title: Consortium co-authors Item: Title: References Item: Title: Fig. 1. Item: Title: Fig. 2. Item: Title: Fig. 3. Item: Title: Fig. 4. Item: Title: Fig. 5. Item: Title: Fig. 6. Item: Title: Table 1: Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 152 ImageHeight: 152 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 749 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 752 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 749 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 761 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 743 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 855 ImageHeight: 1050 BitsPerSample: 8 BitsPerSampleUnit: integer Fonts: Type0: Font: BaseFont: QWYSZG+Code2000 Encoding: Identity-H ToUnicode: true Type1: Font: BaseFont: Times-Roman FirstChar: 32 LastChar: 213 FontDescriptor: FontName: Times-Roman Flags: Nonsymbolic FontBBox: -168, -218, 1000, 898 EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: Helvetica FirstChar: 32 LastChar: 187 FontDescriptor: FontName: Helvetica Flags: Nonsymbolic FontBBox: -166, -225, 1000, 931 EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: Times-Bold Font: BaseFont: Helvetica-Bold FirstChar: 32 LastChar: 130 FontDescriptor: FontName: Helvetica-Bold Flags: Nonsymbolic FontBBox: -170, -228, 1003, 962 EncodingDictionary: Differences: true ToUnicode: true Font: BaseFont: Helvetica-Oblique Font: BaseFont: Times-BoldItalic CIDFontType2: Font: BaseFont: QWYSZG+Code2000 CIDSystemInfo: Registry: Adobe Registry: Identity Supplement: 0 FontDescriptor: FontName: QWYSZG+Code2000 Flags: Symbolic FontBBox: -1111, -295, 2107, 977 FontFile2: true XMP: 2021-10-18T09:08:57-05:00 2021-10-18T09:08:57-05:00 application/pdf Antenna House PDF Output Library 7.1.1639 AH Formatter V7.1 MR2 for Linux64 : 7.1.3.50324 (2021-04-26T09:47+09) 2021-10-18T09:08:57-05:00 Autoantibodies neutralizing type I IFNs are present in ~ 4% of uninfected individuals over 70 years and account for ~ 20% of COVID-19 deaths Paul Bastard, Adrian Gervais, Tom Le Voyer, Jérémie Rosain, Quentin Philippot, Jérémy Manry, Eleftherios Michailidis, Hans-Heinrich Hoffmann, Shohei Eto, Marina Garcia-Prat, Lucy Bizien, Alba Parra-Martínez, Rui Yang, Liis Haljasmägi, Mélanie Migaud, Karita Särekannu, Julia Maslovskaja, Nicolas de Prost, Yacine Tandjaoui-Lambiotte, Charles-Edouard Luyt, Blanca Amador-Borrero, Alexandre Gaudet, Julien Poissy, Pascal Morel, Pascale Richard, Fabrice Cognasse, Jesus Troya, Sophie Trouillet-Assant, Alexandre Belot, Kahina Saker, Pierre Garçon, Jacques G. Rivière, Jean-Christophe Lagier, Stéphanie Gentile, Lindsey B. Rosen, Elana Shaw, Tomohiro Morio, Junko Tanaka, David Dalmau, Pierre-Louis Tharaux, Damien Sene, Alain Stepanian, Bruno Megarbane, Vasiliki Triantafyllia, Arnaud Fekkar, James R. Heath, José Luis Franco, Juan-Manuel Anaya, Jordi Solé-Violán, Luisa Imberti, Andrea Biondi, Paolo Bonfanti, Riccardo Castagnoli, Ottavia M. Delmonte, Yu Zhang, Andrew L. Snow, Steven M. Holland, Catherine Biggs, Marcela Moncada-Vélez, Andrés Augusto Arias, Lazaro Lorenzo, Soraya Boucherit, Boubacar Coulibaly, Dany Anglicheau, Anna M. Planas, Filomeen Haerynck, Sotirija Duvlis, Robert L. Nussbaum, Tayfun Ozcelik, Sevgi Keles, Ahmed A. Bousfiha, Jalila El Bakkouri, Carolina Ramirez-Santana, Stéphane Paul, Qiang Pan-Hammarström, Lennart Hammarström, Annabelle Dupont, Alina Kurolap, Christine N. Metz, Alessandro Aiuti, Giorgio Casari, Vito Lampasona, Fabio Ciceri, Lucila A. Barreiros, Elena Dominguez-Garrido, Mateus Vidigal, Mayana Zatz, Diederik van de Beek, Sabina Sahanic, Ivan Tancevski, Yurii Stepanovskyy, Oksana Boyarchuk, Yoko Nukui, Miyuki Tsumura, Loreto Vidaur, Stuart G. Tangye, Sonia Burrel, Darragh Duffy, Lluis Quintana-Murci, Adam Klocperk, Nelli Y. Kann, Anna Shcherbina, Yu-Lung Lau, Daniel Leung, Matthieu Coulongeat, Julien Marlet, Rutger Koning, Luis Felipe Reyes, Angélique Chauvineau-Grenier, Fabienne Venet, Guillaume Monneret, Michel C. Nussenzweig, Romain Arrestier, Idris Boudhabhay, Hagit Baris-Feldman, David Hagin, Joost Wauters, Isabelle Meyts, Adam H. Dyer, Sean P. Kennelly, Nollaig M. Bourke, Rabih Halwani, Narjes Saheb Sharif-Askari, Karim Dorgham, Jérome Sallette, Souad Mehlal Sedkaoui, Suzan AlKhater, Raúl Rigo-Bonnin, Francisco Morandeira, Lucie Roussel, Donald C. Vinh, Sisse Rye Ostrowski, Antonio Condino-Neto, Carolina Prando, Anastasiia Bonradenko, András N. Spaan, Laurent Gilardin, Jacques Fellay, Stanislas Lyonnet, Kaya Bilguvar, Richard P. Lifton, Shrikant Mane, , , , , , , , , , , , , , , , , , , Mark S. Anderson, Bertrand Boisson, Vivien Béziat, Shen-Ying Zhang, Evangelos Vandreakos, Olivier Hermine, Aurora Pujol, Pärt Peterson, Trine H. Mogensen, Lee Rowen, James Mond, Stéphanie Debette, Xavier de Lamballerie, Xavier Duval, France Mentré, Marie Zins, Pere Soler-Palacin, Roger Colobran, Guy Gorochov, Xavier Solanich, Sophie Susen, Javier Martinez-Picado, Didier Raoult, Marc Vasse, Peter K. Gregersen, Lorenzo Piemonti, Carlos Rodríguez-Gallego, Luigi D. Notarangelo, Helen C. Su, Kai Kisand, Satoshi Okada, Anne Puel, Emmanuelle Jouanguy, Charles M. Rice, Pierre Tiberghien, Qian Zhang, Aurélie Cobat, Laurent Abel, Jean-Laurent CasanovaHGID LabCOVID CliniciansCOVID-STORM CliniciansNIAID Immune Response to COVID GroupNH-COVAIR Study GroupDanish CHGEDanish Blood Donor StudySt. James’s Hospital, SARS CoV2 Interest groupFrench COVID Cohort Study GroupImagine COVID-GroupThe Milieu Intérieur ConsortiumCoV-Contact CohortAmsterdam UMC Covid-19 Biobank InvestigatorsCOVID Human Genetic EffortCONSTANCES cohort3C-Dijon StudyCerba Health-CareEtablissement du Sang study group Pages: Page: Sequence: 1 Annotations: Annotation: Subtype: Link Contents: https://creativecommons.org/licenses/by/4.0/ Rect: 90, 281, 233, 289 LastModified: D:20211018090857-05'00' Page: Sequence: 2 Page: Sequence: 3 Page: Sequence: 4 Page: Sequence: 5 Page: Sequence: 6 Page: Sequence: 7 Page: Sequence: 8 Page: Sequence: 9 Page: Sequence: 10 Page: Sequence: 11 Page: Sequence: 12 Page: Sequence: 13 Page: Sequence: 14 Page: Sequence: 15 Annotations: Annotation: Subtype: Link Contents: https://rdrr.io/cran/logistf/ Rect: 493, 338, 521, 348 LastModified: D:20211018090857-05'00' Annotation: Subtype: Link Contents: rdrr.io/cran/logistf/ Rect: 150, 324, 225, 334 LastModified: D:20211018090857-05'00' Annotation: Subtype: Link Contents: BioRender.com Rect: 369, 224, 432, 234 LastModified: D:20211018090857-05'00' Page: Sequence: 16 Annotations: Annotation: Subtype: Link Contents: http://molbiol.ru/eng/scripts/01_04.html Rect: 356, 636, 517, 646 LastModified: D:20211018090857-05'00' Page: Sequence: 17 Page: Sequence: 18 Page: Sequence: 19 Page: Sequence: 20 Page: Sequence: 21 Page: Sequence: 22 Page: Sequence: 23 Page: Sequence: 24 Page: Sequence: 25 Page: Sequence: 26 Page: Sequence: 27 Page: Sequence: 28 Page: Sequence: 29 Page: Sequence: 30 Page: Sequence: 31 Page: Sequence: 32 Page: Sequence: 33 Page: Sequence: 34 Page: Sequence: 35 Page: Sequence: 36 Page: Sequence: 37 Page: Sequence: 38 Page: Sequence: 39 Page: Sequence: 40 Page: Sequence: 41 Page: Sequence: 42 Page: Sequence: 43 Page: Sequence: 44 Page: Sequence: 45 Page: Sequence: 46 Page: Sequence: 47 Page: Sequence: 48 Page: Sequence: 49 Page: Sequence: 50 Page: Sequence: 51 Page: Sequence: 52 Page: Sequence: 53 Page: Sequence: 54 Page: Sequence: 55 Page: Sequence: 56 Page: Sequence: 57 Page: Sequence: 58 Page: Sequence: 59 Page: Sequence: 60 Page: Sequence: 61 Page: Sequence: 62 Page: Sequence: 63 Page: Sequence: 64 Checksum: 90920828 Type: CRC32 Checksum: 51974f0ec6419dcdfaf9952e1cee8f81 Type: MD5 Checksum: b240ce9954a5f107d25ea6816319b3769c4d7567 Type: SHA-1