# Genetic contribution to severe COVID-19 in adults under 60 years without major comorbidities in the German National Pandemic Cohort Network (NAPKON)

**Authors:** Ayda Abolhassani, T. Madhusankha Alawathurage, Axel Schmidt, Fabian Brand, Laura L. Kilarski, Heidi Altmann, Edgar Dahl, Sandra Frank, Siri Göpel, Frank Hanses, Johannes Christian Hellmuth, Christian Herr, Achim J. Kaasch, Robin Kobbe, Margarethe Justine Konik, Isabell Pink, Christoph Römmele, Jan Rupp, Christian S. Scheer, Marc A. Schneider, Christoph Stellbrink, Hans Christian Stubbe, Phil-Robin Tepasse, Andreas Teufel, István Vadász, Maria J. G. T. Vehreschild, Martin Witzenrath, Gabriele Anton, Isabel Bröhl, Susanne Herold, Thomas Illig, Steffi Jiru-Hillmann, Peter Krawitz, Lazar Mitrov, Alexandra Philipsen, Sina M. Pütz, Markus M. Noethen, Peter Nuernberg, Jens-Peter Reese, Olaf Riess, Stefan Schreiber, Joachim Schultze, Fridolin Steinbeis, J. Janne Vehreschild, Christian Wildberg, Kerstin U. Ludwig, Eva C. Schulte

PMC · DOI: 10.1186/s40246-025-00904-9 · Human Genomics · 2026-01-23

## TL;DR

This study explores how rare genetic variants and common genetic risks contribute to severe COVID-19 in young adults without major health issues.

## Contribution

The study identifies candidate genetic variants in IFN-I-IEI and GWAS risk genes and explores age-related polygenic risk patterns in severe COVID-19.

## Key findings

- 19 individuals (17.3%) had 7 variants of uncertain significance in IFN-I-IEI genes and 13 candidate variants in GWAS risk genes.
- Younger individuals (<40 years) had higher polygenic risk scores (PRS) compared to older individuals (p=0.045).
- Carriers of rare variants had lower PRS than non-carriers (p=0.037), suggesting a lower polygenic burden.

## Abstract

While genome-wide association studies (GWAS) have linked common genetic variants to COVID-19 susceptibility and severity, rare high-impact variants may also contribute to phenotypic heterogeneity. Inborn errors of type I interferon immunity (IFN-I-IEIs), including X-linked TLR7 deficiency, account for ~ 2% of critical COVID-19 cases. In this study, we investigated rare potentially deleterious variants in IFN-I-IEI and GWAS-prioritized genes in young, severely affected COVID-19 patients from the German National Pandemic Cohort Network (NAPKON). Genome sequencing was performed on 110 hospitalized COVID-19 patients, including 82 males and 28 females, all under 60 years of age and without relevant pre-existing medical conditions. Rare potentially deleterious variants in TLR7 and 25 additional IFN-I-IEI genes, as well as 23 GWAS risk genes for COVID-19 severity, were analyzed based on allele frequency, predicted functional impact, and inheritance pattern models and subsequently classified based on the American College of Medical Genetics and Genomics (ACMG) criteria. Polygenic Risk Scores (PRS) were additionally calculated as an exploratory and case-only analysis to assess the contribution of common variant-derived genetic predisposition for severe COVID-19. Consistent with prior findings from other studies in German cohorts, no candidate variants or large deletions were identified in TLR7. However, 7 variants of uncertain significance in IFN-I-IEI genes as well as 13 candidate variants of potential deleterious effect in GWAS risk genes were present in 19 individuals (17.3%). We observed nominally significant differences in PRS distributions, with younger individuals (< 40 years) having higher PRS (p = 0.045) compared to older individuals, and carriers of rare variants having lower PRS compared to non-carriers (p = 0.037). These patterns are consistent with an age-dependent contribution of polygenic risk to severe COVID-19 and a potentially lower polygenic burden among rare-variant carriers, although confirmation in larger well-controlled cohorts will be required. The candidate variants identified in IFN-I-IEI and GWAS risk genes represent targets for further functional studies to clarify their potential contribution to disease risk. These findings highlight the need for future integrative genomic approaches to better understand the joint contribution of common and rare variants to COVID-19 severity.

The online version contains supplementary material available at 10.1186/s40246-025-00904-9.

## Linked entities

- **Genes:** TLR7 (toll like receptor 7) [NCBI Gene 51284]
- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** MAP3K14 (mitogen-activated protein kinase kinase kinase 14) [NCBI Gene 9020] {aka FTDCR1B, HS, HSNIK, IMD112, NIK}, IFNAR1 (interferon alpha and beta receptor subunit 1) [NCBI Gene 3454] {aka AVP, CRF2-1, IFN-R-1, IFN-alpha-REC, IFNAR, IFNBR}, IRF7 (interferon regulatory factor 7) [NCBI Gene 3665] {aka IMD39, IRF-7, IRF-7H, IRF7A, IRF7B, IRF7C}, FOXP3 (forkhead box P3) [NCBI Gene 50943] {aka AIID, DIETER, IPEX, JM2, PIDX, XPID}, THBS3 (thrombospondin 3) [NCBI Gene 7059] {aka TSP3}, MTX1 (metaxin 1) [NCBI Gene 4580] {aka MTX, MTXN}, KANSL1 (KAT8 regulatory NSL complex subunit 1) [NCBI Gene 284058] {aka C17DELq21.31, CENP-36, DEL17Q21.31, KDVS, KIAA1267, MSL1v1}, IRF1 (interferon regulatory factor 1) [NCBI Gene 3659] {aka IMD117, IRF-1, MAR}, RAG1 (recombination activating 1) [NCBI Gene 5896] {aka RAG-1, RNF74}, RELB (RELB proto-oncogene, NF-kB subunit) [NCBI Gene 5971] {aka I-REL, IMD53, IREL, REL-B}, IFNAR2 (interferon alpha and beta receptor subunit 2) [NCBI Gene 3455] {aka IFN-R, IFN-R-2, IFN-alpha-REC, IFNABR, IFNARB, IMD45}, JAK1 (Janus kinase 1) [NCBI Gene 3716] {aka AIIDE, JAK1A, JAK1B, JTK3}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, ATP11A (ATPase phospholipid transporting 11A) [NCBI Gene 23250] {aka ATPIH, ATPIS, AUNA2, DFNA84, HLD24}, RAG2 (recombination activating 2) [NCBI Gene 5897] {aka RAG-2}, NFKB2 (nuclear factor kappa B subunit 2) [NCBI Gene 4791] {aka CVID10, H2TF1, LYT-10, LYT10, NF-kB2, p100}, OAS1 (2'-5'-oligoadenylate synthetase 1) [NCBI Gene 4938] {aka E18/E16, IFI-4, IMD100, OIAS, OIASI}, FBRSL1 (fibrosin like 1) [NCBI Gene 57666], TLR7 (toll like receptor 7) [NCBI Gene 51284] {aka IMD74, SLEB17, TLR7-like}, IKBKG (inhibitor of nuclear factor kappa B kinase regulatory subunit gamma) [NCBI Gene 8517] {aka AMCBX1, EDAID1, FIP-3, FIP3, Fip3p, IKK-gamma}, TYK2 (tyrosine kinase 2) [NCBI Gene 7297] {aka IMD35, JTK1}, LGR5 (leucine rich repeat containing G protein-coupled receptor 5) [NCBI Gene 8549] {aka FEX, GPR49, GPR67, GRP49, HG38}, IL10RB (interleukin 10 receptor subunit beta) [NCBI Gene 3588] {aka CDW210B, CRF2-4, CRFB4, D21S58, D21S66, IBD25}, TICAM1 (TIR domain containing adaptor molecule 1) [NCBI Gene 148022] {aka IIAE6, MyD88-3, PRVTIRB, TICAM-1, TRIF}, IFNA1 (interferon alpha 1) [NCBI Gene 3439] {aka IFL, IFN, IFN-ALPHA, IFN-alphaD, IFNA13, IFNA@}, IFIH1 (interferon induced with helicase C domain 1) [NCBI Gene 64135] {aka AGS7, Hlcd, IDDM19, IMD95, MDA-5, MDA5}, AIRE (autoimmune regulator) [NCBI Gene 326] {aka AIRE1, APECED, APS1, APSI, PGA1}, UNC93B1 (unc-93B1 regulator of TLR signaling) [NCBI Gene 81622] {aka IIAE1, UNC-93B, UNC93, UNC93B, Unc-93B1}, SLC22A31 (solute carrier family 22 member 31) [NCBI Gene 146429]
- **Diseases:** APS-1 (MESH:D016884), inflammatory (MESH:D007249), IPEX (MESH:C580192), ectodermal dysplasia (MESH:D004476), cardiovascular, lung, kidney, liver, neurologic/psychiatric diseases (MESH:D008171), immunodeficiencies (MESH:D007153), linked TLR7 deficiency (MESH:D005168), Corona (MESH:D018352), COVID-19 (MESH:D000086382), viral infections (MESH:D014777), pulmonary infections (MESH:D012141), influenza (MESH:D007251), type 1 diabetes (MESH:D003922), VCF (MESH:D004062), IP (MESH:D007184), AF (MESH:D006316), IFN-I-IEIs (MESH:C535530), rheumatologic/immunologic disorders (MESH:D007154), GS (MESH:D042822), linked TLR7 deficiency (MESH:D040181), deaths (MESH:D003643), cancer (MESH:D009369), respiratory failure (MESH:D012131), immune-deficiency syndromes (MESH:D000081207), X-linked TLR7 deficiency (MESH:C537449), AD (MESH:C566739), HIV infection (MESH:D015658), autosomal dominant (AD) disease (MESH:D030342), autoimmune polyendocrine syndrome type 1 (MESH:C538275), IFN-I-IEIs (MESH:D006969), Infection (MESH:D007239), pLoF (MESH:D006315), obesity (MESH:D009765), pulmonary fibrosis (MESH:D011658), immune dysregulation (OMIM:614878)
- **Chemicals:** oxygen (MESH:D010100), NA (MESH:D012964)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]
- **Mutations:** c.1037C > T, p.I309T, c.2213G > A, c.926 T > C, c.699del, p.Ile309Met, p.Arg66Trp

## Full text

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## Figures

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## References

7 references — full list in the complete paper: https://tomesphere.com/paper/PMC12849158/full.md

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Source: https://tomesphere.com/paper/PMC12849158