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1.
Daniela Matuozzo; Estelle Talouarn; Astrid Marchal; Jeremy Manry; Yoann Seeleuthner; Yu Zhang; Alexandre Bolze; Matthieu Chaldebas; Baptiste Milisavljevic; Peng Zhang; Adrian Gervais; Paul Bastard; Takaki Asano; Lucy Bizien; Federica Barzaghi; Hassan Abolhassani; Ahmad Abou Tayoun; Alessandro Aiuti; Ilad Alavi Darazam; Luis Allende; Rebeca Alonso-Arias; Andres Augusto Arias; Gokhan Aytekin; Peter Bergman; Simone Bondesan; Yenan Bryceson; Ingrid Bustos; Oscar Cabrera-Marante; Sheila Carcel; Paola Carrera; Giorgio Casari; Khalil Chaibi; Roger Colobran; Antonio Condino-Neto; Laura Covill; Loubna El Zein; Carlos Flores; Peter Gregersen; Marta Gut; Filomeen Haerynck; Rabih Halwani; Selda Hancerli; Lennart Hammarstrom; Nevin Hatipoglu; Adem Karbuz; Sevgi Keles; Christele Kyheng; Rafael Leon-Lopez; Jose Luis Franco; Davood Mansouri; Javier Martinez-Picado; Ozge Metin Akcan; Isabelle Migeotte; Pierre-Emmanuel Morange; Guillaume Morelle; Andrea Martin-Nalda; Giuseppe Novelli; Antonio Novelli; Tayfun Ozcelik; Figen Palabiyik; Qiang Pan-Hammarstrom; Rebeca Perez de Diego; Laura Planas-Serra; Daniel Pleguezuelo; Carolina Prando; Aurora Pujol; Luis Felipe Reyes; Jacques Riviere; Carlos Rodriguez-Gallego; Julian Rojas; Patrizia Rovere-Querini; Agatha Schluter; Mohammad Shahrooei; Ali Sobh; Pere Soler-Palacin; Yacine Tandjaoui-Lambiotte; Imran Tipu; Cristina Tresoldi; Jesus Troya; Diederik van de Beek; Mayana Zatz; Pawel Zawadzki; Saleh Zaid Al-Muhsen; Hagit Baris-Feldman; Manish Butte; Stefan Constantinescu; Megan Cooper; Clifton Dalgard; Jacques Fellay; James Heath; Yu-Lung Lau; Richard Lifton; Tom Maniatis; Trine Mogensen; Horst von Bernuth; Alban Lermine; Michel Vidaud; Anne Boland; Jean-Francois Deleuze; Robert Nussbaum; Amanda Kahn-Kirby; France Mentre; Sarah Tubiana; Guy Gorochov; Florence Tubach; Pierre Hausfater; Isabelle Meyts; Shen-Ying Zhang; Anne Puel; Luigi Notarangelo; Stephanie Boisson-Dupuis; Helen Su; Bertrand Boisson; Emmanuelle Jouanguy; Jean-Laurent Casanova; Qian Zhang; Laurent Abel; Aurelie Cobat.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22281221

RESUMO

BackgroundWe previously reported inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity in 1-5% of unvaccinated patients with life-threatening COVID-19, and auto-antibodies against type I IFN in another 15-20% of cases. MethodsWe report here a genome-wide rare variant burden association analysis in 3,269 unvaccinated patients with life-threatening COVID-19 (1,301 previously reported and 1,968 new patients), and 1,373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. A quarter of the patients tested had antibodies against type I IFN (234 of 928) and were excluded from the analysis. ResultsNo gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI:1.5-528.7, P=1.1x10-4), in analyses restricted to biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR=3.70 [95%CI:1.3-8.2], P=2.1x10-4). Adding the recently reported TYK2 COVID-19 locus strengthened this enrichment, particularly under a recessive model (OR=19.65 [95%CI:2.1-2635.4]; P=3.4x10-3). When these 14 loci and TLR7 were considered, all individuals hemizygous (n=20) or homozygous (n=5) for pLOF or bLOF variants were patients (OR=39.19 [95%CI:5.2-5037.0], P=4.7x10-7), who also showed an enrichment in heterozygous variants (OR=2.36 [95%CI:1.0-5.9], P=0.02). Finally, the patients with pLOF or bLOF variants at these 15 loci were significantly younger (mean age [SD]=43.3 [20.3] years) than the other patients (56.0 [17.3] years; P=1.68x10-5). ConclusionsRare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267109

RESUMO

ImportanceClinical, genetic and laboratory characteristics of patients with multisystem inflammatory syndrome in children (MIS-C) in the Middle East have not yet been documented. ObjectiveTo uncover rare genetic variants contributing to MIS-C in patients of primarily Arab and Asian origin. Design, Setting, and ParticipantsA prospective multicenter cohort study was conducted between September 2020 and August 2021 in the United Arab Emirates and Jordan. Forty-five patients meeting the case definition of MIS-C, and a matched control group of twenty-five healthy children with a confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status, were recruited. Whole Exome Sequencing (WES) in all 70 participants was performed to identify rare likely deleterious variants in patients with MIS-C and to correlate genetic findings with the clinical course of illness. ExposuresSARS-CoV-2 Main Outcomes and MeasuresFever, organ system complications, laboratory biomarkers, WES findings, treatments, and clinical outcomes. Mann-Whitney U test was used to assess the association between genetic variations and MIS-C attributes. Fishers exact test was used to compute the genetic burden in MIS-C relative to controls. ResultsIn 45 MIS-C patients (23 boys [51.1%]; average age, 7 years [range, 2-14 years]), key inflammatory markers were significantly dysregulated in all patients. Mucocutaneous and gastrointestinal manifestations were reported in 80% (95% CI 66% to 89%) while cardiac and neurological findings were reported in 49% (95% CI 35% to 63%) and 31% (95% CI 19.5% to 45.6%) of patients, respectively. Rare, likely deleterious heterozygous variants in immune-related genes including TLR3, TLR6, IFNAR2, IL22RA2, IFNB1, and IFNA6, were identified in 19 patients (42.2%, 95% CI 29% to 56.7%), of whom seven had more than one variant. There was significant enrichment of genetic variants in patients relative to the control group (29 versus 3, P<.0001). Those variants were significantly associated with earlier onset of disease (31.5%, 95% CI 15.4% to 54% of patients with versus 7.7%, 95% CI 2% to 24% without genetic findings were < 3 years) and resistance to treatment (42%, 95% CI 23% to 64% of patients with versus 11.5%, 95% CI 4% to 29% of patients without genetic findings received two doses of IVIG). Conclusions and RelevanceRare, likely deleterious genetic variants contribute to MIS-C onset and management. Key PointsO_ST_ABSQuestionC_ST_ABSWhat are the clinical, genetic, and laboratory characteristics of multisystem inflammatory syndrome in children (MIS-C) of the Middle East? FindingsIn this prospective study of 45 MIS-C patients of primarily Arab and Asian origins, we show that the clinical course was consistent with that of previously characterized patients from other backgrounds. However, we find an enrichment of rare, likely deleterious immune-related genetic variants, in MIS-C patients, and an association of genetic status with MIS-C onset and resistance to treatment. MeaningComprehensive genetic profiling of MIS-C patients of diverse ancestries is essential to characterize the genetic contribution to this disease.

3.
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-138339

RESUMO

BackgroundWith the gradual reopening of economies and resumption of social life, robust surveillance mechanisms should be implemented to control the ongoing COVID-19 pandemic. Unlike RT-qPCR, SARS-CoV-2 Whole Genome Sequencing (cWGS) has the added advantage of identifying cryptic origins of the virus, and the extent of community-based transmissions versus new viral introductions, which can in turn influence public health policy decisions. However, practical and cost considerations of cWGS should be addressed before it can be widely implemented. MethodsWe performed shotgun transcriptome sequencing using RNA extracted from nasopharyngeal swabs of patients with COVID-19, and compared it to targeted SARS-CoV-2 full genome amplification and sequencing with respect to virus detection, scalability, and cost-effectiveness. To track virus origin, we used open-source multiple sequence alignment and phylogenetic tools to compare the assembled SARS-CoV-2 genomes to publicly available sequences. ResultsWe show a significant improvement in whole genome sequencing data quality and viral detection using amplicon-based target enrichment of SARS-CoV-2. With enrichment, more than 99% of the sequencing reads mapped to the viral genome compared to an average of 0.63% without enrichment. Consequently, a dramatic increase in genome coverage was obtained using significantly less sequencing data, enabling higher scalability and significant cost reductions. We also demonstrate how SARS-CoV-2 genome sequences can be used to determine their possible origin through phylogenetic analysis including other viral strains. ConclusionsSARS-CoV-2 whole genome sequencing is a practical, cost-effective, and powerful approach for population-based surveillance and control of viral transmission in the next phase of the COVID-19 pandemic.

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