Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort

Carapito R, Li R, Helms J, Carapito C, Gujja S, Rolli V, Guimaraes R, Malagon-Lopez J, Spinnhirny P, Lederle A, Mohseninia R, Hirschler A, Muller L, Bastard P, Gervais A, Zhang Q, Danion F, Ruch Y, Schenck M, Collange O, Chamaraux-Tran TN, Molitor A, Pichot A, Bernard A, Tahar O, Bibi-Triki S, Wu H, Paul N, Mayeur S, Larnicol A, Laumond G, Frappier J, Schmidt S, Hanauer A, Macquin C, Stemmelen T, Simons M, Mariette X, Hermine O, Fafi-Kremer S, Goichot B, Drenou B, Kuteifan K, Pottecher J, Mertes PM, Kailasan S, Aman MJ, Pin E, Nilsson P, Thomas A, Viari A, Sanlaville D, Schneider F, Sibilia J, Tharaux PL, Casanova JL, Hansmann Y, Lidar D, Radosavljevic M, Gulcher JR, Meziani F, Moog C, Chittenden TW, Bahram S

Sci. Transl. Med. - (-) eabj7521 [2021-10-26; online 2021-10-26]

[Figure: see text].

Category: Genomics & transcriptomics

Category: Health

Type: Journal article

PubMed 34698500

DOI 10.1126/scitranslmed.abj7521

Crossref 10.1126/scitranslmed.abj7521

GEO: GSE172114 RNA-seq datasets
Proteomics data are available in the ProteomeXchange Consortium database (identifier PXD025265)
Codes used for analysis


Publications 7.0.1