Back

Identification and Functional Characterization of Regulatory Variants in DPP9 Associated with COVID-19 Severity

Farah, G.; Torres, M.; Henches, L.; Aschard, H.; Ghosn, J.; Duval, X.; Milieu Interieur Consortium, ; French COVID Cohort Study Group, ; Rihet, P.; Spicuglia, S.; Marquet, S.

2025-01-09 genetics
10.1101/2025.01.07.631679 bioRxiv
Show abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection leads to a wide-range of clinical outcomes, which have been extensively studied through genome-wide association studies (GWAS). Starting from lead genetic variants associated with COVID-19 infection and severity, we identified a subset of non-coding candidate variants with potential regulatory functions. Using bioinformatics analysis and functional screening in three cell lines, we prioritized two DPP9 variants within a haplotype that increases the risk of severe COVID-19. This haplotype exhibited increased regulatory activity and altered transcription factor binding, suggesting its role in influencing COVID-19 severity through modulation of DPP9 expression in immune and lung cell types. The interest of our study lies in the functional characterization of regulatory variants responsible for the higher levels of DPP9 and lung damage observed in patients with severe COVID-19. These findings advance our understanding of genetic risk factors for COVID-19 and highlight functional SNPs that may guide future therapeutic research.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 2%
12.7%
2
Nature Communications
5641 papers in training set
Top 23%
7.1%
3
Human Molecular Genetics
141 papers in training set
Top 0.2%
6.6%
4
PLOS Genetics
862 papers in training set
Top 2%
5.4%
5
Frontiers in Genetics
230 papers in training set
Top 0.5%
5.4%
6
Human Genetics and Genomics Advances
84 papers in training set
Top 0.4%
5.4%
7
Genes & Immunity
11 papers in training set
Top 0.1%
5.4%
8
npj Genomic Medicine
36 papers in training set
Top 0.1%
5.4%
50% of probability mass above
9
Human Genetics
28 papers in training set
Top 0.1%
5.1%
10
European Journal of Human Genetics
58 papers in training set
Top 0.2%
4.2%
11
Genome Medicine
183 papers in training set
Top 1%
4.0%
12
Communications Biology
993 papers in training set
Top 6%
3.2%
13
Nature Genetics
286 papers in training set
Top 3%
2.3%
14
Nucleic Acids Research
1281 papers in training set
Top 8%
2.1%
15
eLife
5828 papers in training set
Top 47%
1.9%
16
International Journal of Molecular Sciences
494 papers in training set
Top 8%
1.7%
17
Genome Research
468 papers in training set
Top 4%
1.5%
18
Clinical and Translational Medicine
31 papers in training set
Top 0.6%
1.1%
19
The American Journal of Human Genetics
234 papers in training set
Top 3%
1.0%
20
Genes
144 papers in training set
Top 3%
1.0%
21
PLOS ONE
5266 papers in training set
Top 62%
0.8%
22
Life Science Alliance
285 papers in training set
Top 8%
0.8%
23
Molecular Psychiatry
282 papers in training set
Top 6%
0.6%
24
BMC Genomic Data
13 papers in training set
Top 0.3%
0.6%
25
Frontiers in Immunology
638 papers in training set
Top 11%
0.6%
26
Journal of Genetics and Genomics
38 papers in training set
Top 1.0%
0.6%