TY - JOUR
T1 - Systematic assessment of COVID-19 host genetics using whole genome sequencing data
AU - DeCOI host genetics group
AU - DeCOI
AU - Schmidt, Axel
AU - Casadei, Nicolas
AU - Brand, Fabian
AU - Demidov, German
AU - Vojgani, Elaheh
AU - Abolhassani, Ayda
AU - Aldisi, Rana
AU - Butler-Laporte, Guillaume
AU - Alawathurage, T. Madhusankha
AU - Augustin, Max
AU - Bals, Robert
AU - Bellinghausen, Carla
AU - Berger, Marc Moritz
AU - Bitzer, Michael
AU - Bode, Christian
AU - Boos, Jannik
AU - Brenner, Thorsten
AU - Cornely, Oliver A.
AU - Eggermann, Thomas
AU - Erber, Johanna
AU - Feldt, Torsten
AU - Fuchsberger, Christian
AU - Gagneur, Julien
AU - Göpel, Siri
AU - Haack, Tobias
AU - Häberle, Helene
AU - Hanses, Frank
AU - Heggemann, Julia
AU - Hehr, Ute
AU - Hellmuth, Johannes C.
AU - Herr, Christian
AU - Hinney, Anke
AU - Hoffmann, Per
AU - Illig, Thomas
AU - Jensen, Björn Erik Ole
AU - Keitel, Verena
AU - Kim-Hellmuth, Sarah
AU - Koehler, Philipp
AU - Kurth, Ingo
AU - Lanz, Anna Lisa
AU - Latz, Eicke
AU - Lehmann, Clara
AU - Luedde, Tom
AU - Maj, Carlo
AU - Mian, Michael
AU - Miller, Abigail
AU - Muenchhoff, Maximilian
AU - Pink, Isabell
AU - Protzer, Ulrike
AU - Rohn, Hana
N1 - Publisher Copyright:
© 2024 Schmidt et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2024/12
Y1 - 2024/12
N2 - Courses of SARS-CoV-2 infections are highly variable, ranging from asymptomatic to lethal COVID-19. Though research has shown that host genetic factors contribute to this variability, cohort-based joint analyses of variants from the entire allelic spectrum in individuals with confirmed SARS-CoV-2 infections are still lacking. Here, we present the results of whole genome sequencing in 1,220 mainly vaccine-naïve individuals with confirmed SARS-CoV-2 infection, including 827 hospitalized COVID-19 cases. We observed the presence of autosomal-recessive or likely compound heterozygous monogenic disorders in six individuals, all of which were hospitalized and significantly younger than the rest of the cohort. We did not observe any suggestive causal variants in or around the established risk gene TLR7. Burden testing in the largest population subgroup (i.e., Europeans) suggested nominal enrichments of rare variants in coding and non-coding regions of interferon immune response genes in the overall analysis and male subgroup. Case-control analyses of more common variants confirmed associations with previously reported risk loci, with the key locus at 3p21 reaching genome-wide significance. Polygenic scores accurately captured risk in an age-dependent manner. By enabling joint analyses of different types of variation across the entire frequency spectrum, this data will continue to contribute to the elucidation of COVID-19 etiology.
AB - Courses of SARS-CoV-2 infections are highly variable, ranging from asymptomatic to lethal COVID-19. Though research has shown that host genetic factors contribute to this variability, cohort-based joint analyses of variants from the entire allelic spectrum in individuals with confirmed SARS-CoV-2 infections are still lacking. Here, we present the results of whole genome sequencing in 1,220 mainly vaccine-naïve individuals with confirmed SARS-CoV-2 infection, including 827 hospitalized COVID-19 cases. We observed the presence of autosomal-recessive or likely compound heterozygous monogenic disorders in six individuals, all of which were hospitalized and significantly younger than the rest of the cohort. We did not observe any suggestive causal variants in or around the established risk gene TLR7. Burden testing in the largest population subgroup (i.e., Europeans) suggested nominal enrichments of rare variants in coding and non-coding regions of interferon immune response genes in the overall analysis and male subgroup. Case-control analyses of more common variants confirmed associations with previously reported risk loci, with the key locus at 3p21 reaching genome-wide significance. Polygenic scores accurately captured risk in an age-dependent manner. By enabling joint analyses of different types of variation across the entire frequency spectrum, this data will continue to contribute to the elucidation of COVID-19 etiology.
UR - http://www.scopus.com/inward/record.url?scp=85213338106&partnerID=8YFLogxK
U2 - 10.1371/journal.ppat.1012786
DO - 10.1371/journal.ppat.1012786
M3 - Article
AN - SCOPUS:85213338106
SN - 1553-7366
VL - 20
JO - PLoS Pathogens
JF - PLoS Pathogens
IS - 12 December
M1 - e1012786
ER -