ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021
An integrative multiomics analysis identifies putative causal genes for COVID-19 severity.
Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Detailed stratified GWAS analysis for severe COVID-19 in four European populations.Human molecular genetics · 2022Pooled it
- Genetics of COVID-19 and myalgic encephalomyelitis/chronic fatigue syndrome: a systematic review.Annals of clinical and translational neurology · 2022Pooled it
- Integrating population-level and cell-based signatures for drug repositioning.Bioinformatics (Oxford, England) · 2025Article
- Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population.Scientific reports · 2024Article
- SARS-CoV-2 rapidly evolves lineage-specific phenotypic differences when passaged repeatedly in immune-naïve mice.Communications biology · 2024Article
- GWAS-significant loci and severe COVID-19: analysis of associations, link with thromboinflammation syndrome, gene-gene, and gene-environmental interactions.Frontiers in genetics · 2024Article
- Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organs.Human genetics · 2023Article
- Review
- Multiomic Investigations into Lung Health and Disease.Microorganisms · 2023Review
- Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis.Viruses · 2023Review
- A Clinical Qualification Protocol Highlights Overlapping Genomic Influences and Neuro-Autonomic Mechanisms in Ehlers-Danlos and Long COVID-19 Syndromes.Current issues in molecular biology · 2023Article
- Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis.Frontiers in psychiatry · 2023Article
- SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification.Nature communications · 2022Article
- Increased mRNA Levels ofBiomedicines · 2022Article
- Review
- IFNAR2 relevance in the clinical outcome of individuals with severe COVID-19.Frontiers in immunology · 2022Article
- An interactive analysis of the mouse oviductal miRNA profiles.Frontiers in cell and developmental biology · 2022Article
- Mechanism of COVID-19-Related Proteins in Spinal Tuberculosis: Immune Dysregulation.Frontiers in immunology · 2022Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIt is critical to identify putative causal targets for SARS coronavirus 2, which may guide drug repurposing options to reduce the public health burden of COVID-19.
methodsWe applied complementary methods and multiphased design to pinpoint the most likely causal genes for COVID-19 severity. First, we applied cross-methylome omnibus (CMO) test and leveraged data from the COVID-19 Host Genetics Initiative (HGI) comparing 9,986 hospitalized COVID-19 patients and 1,877,672 population controls. Second, we evaluated associations using the complementary S-PrediXcan method and leveraging blood and lung tissue gene expression prediction models. Third, we assessed associations of the identified genes with another COVID-19 phenotype, comparing very severe respiratory confirmed COVID versus population controls. Finally, we applied a fine-mapping method, fine-mapping of gene sets (FOGS), to prioritize putative causal genes.
resultsThrough analyses of the COVID-19 HGI using complementary CMO and S-PrediXcan methods along with fine-mapping, XCR1, CCR2, SACM1L, OAS3, NSF, WNT3, NAPSA, and IFNAR2 are identified as putative causal genes for COVID-19 severity.
conclusionWe identified eight genes at five genomic loci as putative causal genes for COVID-19 severity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.