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      Systems genetics identifies miRNA-mediated regulation of host response in COVID-19

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          Abstract

          Background

          Individuals infected with SARS-CoV-2 vary greatly in their disease severity, ranging from asymptomatic infection to severe disease. The regulation of gene expression is an important mechanism in the host immune response and can modulate the outcome of the disease. miRNAs play important roles in post-transcriptional regulation with consequences on downstream molecular and cellular host immune response processes. The nature and magnitude of miRNA perturbations associated with blood phenotypes and intensive care unit (ICU) admission in COVID-19 are poorly understood.

          Results

          We combined multi-omics profiling—genotyping, miRNA and RNA expression, measured at the time of hospital admission soon after the onset of COVID-19 symptoms—with phenotypes from electronic health records to understand how miRNA expression contributes to variation in disease severity in a diverse cohort of 259 unvaccinated patients in Abu Dhabi, United Arab Emirates. We analyzed 62 clinical variables and expression levels of 632 miRNAs measured at admission and identified 97 miRNAs associated with 8 blood phenotypes significantly associated with later ICU admission. Integrative miRNA-mRNA cross-correlation analysis identified multiple miRNA-mRNA-blood endophenotype associations and revealed the effect of miR-143-3p on neutrophil count mediated by the expression of its target gene BCL2. We report 168 significant cis-miRNA expression quantitative trait loci, 57 of which implicate miRNAs associated with either ICU admission or a blood endophenotype.

          Conclusions

          This systems genetics study has given rise to a genomic picture of the architecture of whole blood miRNAs in unvaccinated COVID-19 patients and pinpoints post-transcriptional regulation as a potential mechanism that impacts blood traits underlying COVID-19 severity. The results also highlight the impact of host genetic regulatory control of miRNA expression in early stages of COVID-19 disease.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40246-023-00494-4.

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          Most cited references70

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          PLINK: a tool set for whole-genome association and population-based linkage analyses.

          Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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            A global reference for human genetic variation

            The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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              Clinical and immunologic features in severe and moderate Coronavirus Disease 2019

              Journal of Clinical Investigation
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                Author and article information

                Contributors
                tg1407@nyu.edu
                yi3@nyu.edu
                Journal
                Hum Genomics
                Hum Genomics
                Human Genomics
                BioMed Central (London )
                1473-9542
                1479-7364
                12 June 2023
                12 June 2023
                2023
                : 17
                : 49
                Affiliations
                [1 ]GRID grid.440573.1, ISNI 0000 0004 1755 5934, Biology Program, Division of Science, , New York University Abu Dhabi, ; Abu Dhabi, United Arab Emirates
                [2 ]GRID grid.440573.1, ISNI 0000 0004 1755 5934, Public Health Research Center, , New York University Abu Dhabi, ; Abu Dhabi, United Arab Emirates
                [3 ]GRID grid.440573.1, ISNI 0000 0004 1755 5934, Center for Genomics and Systems Biology, , NYU Abu Dhabi, ; Abu Dhabi, United Arab Emirates
                [4 ]GRID grid.507374.2, ISNI 0000 0004 1756 0733, Seha (Abu Dhabi Health Services Company), ; Abu Dhabi, United Arab Emirates
                [5 ]GRID grid.415670.1, ISNI 0000 0004 1773 3278, Sheikh Khalifa Medical City-Union 71 PureHealth, ; Abu Dhabi, United Arab Emirates
                [6 ]GRID grid.43519.3a, ISNI 0000 0001 2193 6666, Department of Medical Microbiology and Immunology, College of Medicine and Health Sciences, , United Arab Emirates University, ; Al Ain, United Arab Emirates
                Article
                494
                10.1186/s40246-023-00494-4
                10257974
                37303042
                e4b7d931-ae27-4544-959f-b4559daa36c0
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 March 2023
                : 10 May 2023
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Genetics
                covid-19,microrna,host immune response,transcriptomics,eqtl,host genetics,multi-omics,post-transcriptional regulation

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