Abstract
The chr12q24.13 locus encoding OAS1–OAS3 antiviral proteins has been associated with coronavirus disease 2019 (COVID-19) susceptibility. Here, we report genetic, functional and clinical insights into this locus in relation to COVID-19 severity. In our analysis of patients of European (n = 2,249) and African (n = 835) ancestries with hospitalized versus nonhospitalized COVID-19, the risk of hospitalized disease was associated with a common OAS1 haplotype, which was also associated with reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) clearance in a clinical trial with pegIFN-λ1. Bioinformatic analyses and in vitro studies reveal the functional contribution of two associated OAS1 exonic variants comprising the risk haplotype. Derived human-specific alleles rs10774671-A and rs1131454-A decrease OAS1 protein abundance through allele-specific regulation of splicing and nonsense-mediated decay (NMD). We conclude that decreased OAS1 expression due to a common haplotype contributes to COVID-19 severity. Our results provide insight into molecular mechanisms through which early treatment with interferons could accelerate SARS-CoV-2 clearance and mitigate against severe COVID-19.
Original language | English |
---|---|
Pages (from-to) | 1103-1116 |
Number of pages | 14 |
Journal | Nature Genetics |
Volume | 54 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2022 |
Externally published | Yes |
Access to Document
Fingerprint
Dive into the research topics of 'Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries. / Banday, A. Rouf; Stanifer, Megan L.; Florez-Vargas, Oscar et al.
In: Nature Genetics, Vol. 54, No. 8, 08.2022, p. 1103-1116.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries
AU - Banday, A. Rouf
AU - Stanifer, Megan L.
AU - Florez-Vargas, Oscar
AU - Onabajo, Olusegun O.
AU - Papenberg, Brenen W.
AU - Zahoor, Muhammad A.
AU - Mirabello, Lisa
AU - Ring, Timothy J.
AU - Lee, Chia Han
AU - Albert, Paul S.
AU - Andreakos, Evangelos
AU - Arons, Evgeny
AU - Barsh, Greg
AU - Biesecker, Leslie G.
AU - Boyle, David L.
AU - Brahier, Mark S.
AU - Burnett-Hartman, Andrea
AU - Carrington, Mary
AU - Chang, Euijin
AU - Choe, Pyoeng Gyun
AU - Chisholm, Rex L.
AU - Colli, Leandro M.
AU - Dalgard, Clifton L.
AU - Dude, Carolynn M.
AU - Edberg, Jeff
AU - Erdmann, Nathan
AU - Feigelson, Heather S.
AU - Fonseca, Benedito A.
AU - Firestein, Gary S.
AU - Gehring, Adam J.
AU - Guo, Cuncai
AU - Ho, Michelle
AU - Holland, Steven
AU - Hutchinson, Amy A.
AU - Im, Hogune
AU - Irby, Les’Shon S.
AU - Ison, Michael G.
AU - Joseph, Naima T.
AU - Kim, Hong Bin
AU - Kreitman, Robert J.
AU - Korf, Bruce R.
AU - Lipkin, Steven M.
AU - Mahgoub, Siham M.
AU - Mohammed, Iman
AU - Paschoalini, Guilherme L.
AU - Pacheco, Jennifer A.
AU - Peluso, Michael J.
AU - Rader, Daniel J.
AU - Redden, David T.
AU - Ritchie, Marylyn D.
AU - Rosenblum, Brooke
AU - Ross, M. Elizabeth
AU - Anna, Hanaisa P.Sant
AU - Savage, Sharon A.
AU - Sharma, Sudha
AU - Siouti, Eleni
AU - Smith, Alicia K.
AU - Triantafyllia, Vasiliki
AU - Vargas, Joselin M.
AU - Vargas, Jose D.
AU - Verma, Anurag
AU - Vij, Vibha
AU - Wesemann, Duane R.
AU - Yeager, Meredith
AU - Yu, Xu
AU - Zhang, Yu
AU - Boulant, Steeve
AU - Chanock, Stephen J.
AU - Feld, Jordan J.
AU - Prokunina-Olsson, Ludmila
N1 - Funding Information: We are grateful to all the patients who donated their samples. We are also indebted to all the doctors and nurses who contributed to this study. Additionally, we thank L. McReynolds (CGB/DCEG/NCI) for clinical review of the samples; M. Machiela (ITEB/DCEG/NCI) for contributing to the data analysis plan, M. Yan (LTG/DCEG/NCI) for help with analyses, N. Cole (CGR/DCEG/NCI) for help with the acquisition of TCGA sliced BAM files, M. Dean (LTG/DCEG/NCI) for help with Oxford Nanopore sequencing; G. Vatsellas and A.G. Korovesi (Biomedical Research Foundation of the Academy of Athens) for technical assistance on DNA extraction and preparation; J.C. Sapp (NHGRI) for support and guidance in patient recruitment; M. Martin (BSP, Frederick National Laboratory for Cancer Research) for coordinating sample and data transfers; J. Li (Harvard Medical School) for cohort organization; L. Jin, J. Wu and R. Shevin in the UAB Center for Clinical and Translational Science for preparation of genomic DNA; and B. Antônio Lopes da Fonseca and F. Crivelenti Vilar (University of São Paulo, Brazil) for recruiting patients. The results are partially based on data generated by the TCGA Research Network. We used data provided by the Kaiser Permanente Research Bank (KPRB) from the KPRB collection, which includes the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH), funded by the National Institutes of Health (NIH; RC2 AG036607), the Robert Wood Johnson Foundation, the Wayne and Gladys Valley Foundation, The Ellison Medical Foundation and the Kaiser Permanente Community Benefits Program. Access to data used in this study may be obtained by application to the KPRB at kp.org/researchbank/researchers. Research reported in this publication was supported by the Intramural Research Programs of the National Cancer Institute, Division of Cancer Epidemiology and Genetics and Center for Cancer Research, Frederick National Laboratory for Cancer Research, contract number HHSN261200800001E; National Center for Advancing Translational Science of the NIH under award number UL1TR003096 associated with the University of Alabama at Birmingham COVID-19 Enterprise Study IRB-20005127, NHGRI Intramural Research Program grants HG200388-07 and HG200359-12. Additional funding was provided by the state of Alabama through the Alabama Genomic Health Initiative (IRB F170303004). S.B. was supported by grants from Deutsche Forschungsgemeinschaft project numbers 415089553 (Heisenberg program), 240245660 (SFB1129) and 272983813 (TRR179) and from the state of Baden Wuerttemberg (AZ: 33.7533.-6-21/5/1) and the Bundesministerium Bildung und Forschung (01KI20198A). M.L.S. was supported by grants from the Bundesministerium Bildung und Forschung (01KI20239B) and Deutsche Forschungsgemeinschaft project 416072091. E.A. was supported by grants from the European Commission (IMMUNAID, 779295 and CURE, 767015) and the Hellenic Foundation for Research and Innovation INTERFLU (1574). H.B.K. was supported by grant no 02-2020-012 from the SNUBH Research Fund. Additional support was provided by the Emory Department of Gynecology and Obstetrics EmPOWR Initiative (IRB00101931) and a grant from the Emory Medical Care Foundation Grant (IRB00000312). M.E.R. and S.M.L. were supported by NIH grant NS105477 and the NYPH-Weill Cornell Medicine COVID-19 Biobank Fund (IRB 20-04021808). D.R.W. was supported by the Massachusetts Consortium on Pathogen Readiness and NIH grants AI165072 and AI139538. The pegIFN-λ1 clinical trial was supported by the Toronto COVID-19 Action Initiative (72059280), the Ontario Together COVID-19 Research Application (C-224-2428560-FELD) and the Canadian Institutes for Health Research (VR3-172648). Support for title page creation and format was provided by AuthorArranger (https://authorarranger.nci.nih.gov/), a tool developed at the NCI. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views and policies of the NIH or Department of Health and Human Services, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government. Funding Information: We are grateful to all the patients who donated their samples. We are also indebted to all the doctors and nurses who contributed to this study. Additionally, we thank L. McReynolds (CGB/DCEG/NCI) for clinical review of the samples; M. Machiela (ITEB/DCEG/NCI) for contributing to the data analysis plan, M. Yan (LTG/DCEG/NCI) for help with analyses, N. Cole (CGR/DCEG/NCI) for help with the acquisition of TCGA sliced BAM files, M. Dean (LTG/DCEG/NCI) for help with Oxford Nanopore sequencing; G. Vatsellas and A.G. Korovesi (Biomedical Research Foundation of the Academy of Athens) for technical assistance on DNA extraction and preparation; J.C. Sapp (NHGRI) for support and guidance in patient recruitment; M. Martin (BSP, Frederick National Laboratory for Cancer Research) for coordinating sample and data transfers; J. Li (Harvard Medical School) for cohort organization; L. Jin, J. Wu and R. Shevin in the UAB Center for Clinical and Translational Science for preparation of genomic DNA; and B. Antônio Lopes da Fonseca and F. Crivelenti Vilar (University of São Paulo, Brazil) for recruiting patients. The results are partially based on data generated by the TCGA Research Network. We used data provided by the Kaiser Permanente Research Bank (KPRB) from the KPRB collection, which includes the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH), funded by the National Institutes of Health (NIH; RC2 AG036607), the Robert Wood Johnson Foundation, the Wayne and Gladys Valley Foundation, The Ellison Medical Foundation and the Kaiser Permanente Community Benefits Program. Access to data used in this study may be obtained by application to the KPRB at kp.org/researchbank/researchers . Research reported in this publication was supported by the Intramural Research Programs of the National Cancer Institute, Division of Cancer Epidemiology and Genetics and Center for Cancer Research, Frederick National Laboratory for Cancer Research, contract number HHSN261200800001E; National Center for Advancing Translational Science of the NIH under award number UL1TR003096 associated with the University of Alabama at Birmingham COVID-19 Enterprise Study IRB-20005127, NHGRI Intramural Research Program grants HG200388-07 and HG200359-12. Additional funding was provided by the state of Alabama through the Alabama Genomic Health Initiative (IRB F170303004). S.B. was supported by grants from Deutsche Forschungsgemeinschaft project numbers 415089553 (Heisenberg program), 240245660 (SFB1129) and 272983813 (TRR179) and from the state of Baden Wuerttemberg (AZ: 33.7533.-6-21/5/1) and the Bundesministerium Bildung und Forschung (01KI20198A). M.L.S. was supported by grants from the Bundesministerium Bildung und Forschung (01KI20239B) and Deutsche Forschungsgemeinschaft project 416072091. E.A. was supported by grants from the European Commission (IMMUNAID, 779295 and CURE, 767015) and the Hellenic Foundation for Research and Innovation INTERFLU (1574). H.B.K. was supported by grant no 02-2020-012 from the SNUBH Research Fund. Additional support was provided by the Emory Department of Gynecology and Obstetrics EmPOWR Initiative (IRB00101931) and a grant from the Emory Medical Care Foundation Grant (IRB00000312). M.E.R. and S.M.L. were supported by NIH grant NS105477 and the NYPH-Weill Cornell Medicine COVID-19 Biobank Fund (IRB 20-04021808). D.R.W. was supported by the Massachusetts Consortium on Pathogen Readiness and NIH grants AI165072 and AI139538. The pegIFN-λ1 clinical trial was supported by the Toronto COVID-19 Action Initiative (72059280), the Ontario Together COVID-19 Research Application (C-224-2428560-FELD) and the Canadian Institutes for Health Research (VR3-172648). Support for title page creation and format was provided by AuthorArranger ( https://authorarranger.nci.nih.gov/ ), a tool developed at the NCI. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views and policies of the NIH or Department of Health and Human Services, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government. Publisher Copyright: © 2022, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
PY - 2022/8
Y1 - 2022/8
N2 - The chr12q24.13 locus encoding OAS1–OAS3 antiviral proteins has been associated with coronavirus disease 2019 (COVID-19) susceptibility. Here, we report genetic, functional and clinical insights into this locus in relation to COVID-19 severity. In our analysis of patients of European (n = 2,249) and African (n = 835) ancestries with hospitalized versus nonhospitalized COVID-19, the risk of hospitalized disease was associated with a common OAS1 haplotype, which was also associated with reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) clearance in a clinical trial with pegIFN-λ1. Bioinformatic analyses and in vitro studies reveal the functional contribution of two associated OAS1 exonic variants comprising the risk haplotype. Derived human-specific alleles rs10774671-A and rs1131454-A decrease OAS1 protein abundance through allele-specific regulation of splicing and nonsense-mediated decay (NMD). We conclude that decreased OAS1 expression due to a common haplotype contributes to COVID-19 severity. Our results provide insight into molecular mechanisms through which early treatment with interferons could accelerate SARS-CoV-2 clearance and mitigate against severe COVID-19.
AB - The chr12q24.13 locus encoding OAS1–OAS3 antiviral proteins has been associated with coronavirus disease 2019 (COVID-19) susceptibility. Here, we report genetic, functional and clinical insights into this locus in relation to COVID-19 severity. In our analysis of patients of European (n = 2,249) and African (n = 835) ancestries with hospitalized versus nonhospitalized COVID-19, the risk of hospitalized disease was associated with a common OAS1 haplotype, which was also associated with reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) clearance in a clinical trial with pegIFN-λ1. Bioinformatic analyses and in vitro studies reveal the functional contribution of two associated OAS1 exonic variants comprising the risk haplotype. Derived human-specific alleles rs10774671-A and rs1131454-A decrease OAS1 protein abundance through allele-specific regulation of splicing and nonsense-mediated decay (NMD). We conclude that decreased OAS1 expression due to a common haplotype contributes to COVID-19 severity. Our results provide insight into molecular mechanisms through which early treatment with interferons could accelerate SARS-CoV-2 clearance and mitigate against severe COVID-19.
UR - http://www.scopus.com/inward/record.url?scp=85134324868&partnerID=8YFLogxK
U2 - 10.1038/s41588-022-01113-z
DO - 10.1038/s41588-022-01113-z
M3 - Article
C2 - 35835913
AN - SCOPUS:85134324868
SN - 1061-4036
VL - 54
SP - 1103
EP - 1116
JO - Nature Genetics
JF - Nature Genetics
IS - 8
ER -