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Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records
BACKGROUND: Clostridioides difficile is a major cause of healthcare-associated and community-acquired diarrhea. Host genetic susceptibility to Clostridioides difficile infection has not been studied on a large-scale. METHODS: A total of 1,160 Clostridioides difficile infection cases and 15,304 contr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026859/ https://www.ncbi.nlm.nih.gov/pubmed/33841421 http://dx.doi.org/10.3389/fimmu.2021.638913 |
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author | Li, Jiang Zhang, Yanfei Jilg, Alexandria L. Wolk, Donna M. Khara, Harshit S. Kolinovsky, Amy Rolston, David D. K. Hontecillas, Raquel Bassaganya-Riera, Josep Williams, Marc S. Abedi, Vida Lee, Ming Ta Michael |
author_facet | Li, Jiang Zhang, Yanfei Jilg, Alexandria L. Wolk, Donna M. Khara, Harshit S. Kolinovsky, Amy Rolston, David D. K. Hontecillas, Raquel Bassaganya-Riera, Josep Williams, Marc S. Abedi, Vida Lee, Ming Ta Michael |
author_sort | Li, Jiang |
collection | PubMed |
description | BACKGROUND: Clostridioides difficile is a major cause of healthcare-associated and community-acquired diarrhea. Host genetic susceptibility to Clostridioides difficile infection has not been studied on a large-scale. METHODS: A total of 1,160 Clostridioides difficile infection cases and 15,304 controls were identified by applying the eMERGE Clostridioides difficile infection algorithm to electronic health record data. A genome-wide association study was performed using a linear mixed model, adjusted for significant covariates in the full dataset and the antibiotic subgroup. Colocalization and MetaXcan were performed to identify potential target genes in Clostridioides difficile infection - relevant tissue types. RESULTS: No significant genome-wide association was found in the meta-analyses of the full Clostridioides difficile infection dataset. One genome-wide significant variant, rs114751021, was identified (OR = 2.42; 95%CI = 1.84-3.11; p=4.50 x 10(-8)) at the major histocompatibility complex region associated with Clostridioides difficile infection in the antibiotic group. Colocalization and MetaXcan identified MICA, C4A/C4B, and NOTCH4 as potential target genes. Down-regulation of MICA, upregulation of C4A and NOTCH4 was associated with a higher risk for Clostridioides difficile infection. CONCLUSIONS: Leveraging the EHR and genetic data, genome-wide association, and fine-mapping techniques, this study identified variants and genes associated with Clostridioides difficile infection, provided insights into host immune mechanisms, and described the potential for novel treatment strategies for Clostridioides difficile infection. Future replication and functional validation are needed. |
format | Online Article Text |
id | pubmed-8026859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80268592021-04-09 Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records Li, Jiang Zhang, Yanfei Jilg, Alexandria L. Wolk, Donna M. Khara, Harshit S. Kolinovsky, Amy Rolston, David D. K. Hontecillas, Raquel Bassaganya-Riera, Josep Williams, Marc S. Abedi, Vida Lee, Ming Ta Michael Front Immunol Immunology BACKGROUND: Clostridioides difficile is a major cause of healthcare-associated and community-acquired diarrhea. Host genetic susceptibility to Clostridioides difficile infection has not been studied on a large-scale. METHODS: A total of 1,160 Clostridioides difficile infection cases and 15,304 controls were identified by applying the eMERGE Clostridioides difficile infection algorithm to electronic health record data. A genome-wide association study was performed using a linear mixed model, adjusted for significant covariates in the full dataset and the antibiotic subgroup. Colocalization and MetaXcan were performed to identify potential target genes in Clostridioides difficile infection - relevant tissue types. RESULTS: No significant genome-wide association was found in the meta-analyses of the full Clostridioides difficile infection dataset. One genome-wide significant variant, rs114751021, was identified (OR = 2.42; 95%CI = 1.84-3.11; p=4.50 x 10(-8)) at the major histocompatibility complex region associated with Clostridioides difficile infection in the antibiotic group. Colocalization and MetaXcan identified MICA, C4A/C4B, and NOTCH4 as potential target genes. Down-regulation of MICA, upregulation of C4A and NOTCH4 was associated with a higher risk for Clostridioides difficile infection. CONCLUSIONS: Leveraging the EHR and genetic data, genome-wide association, and fine-mapping techniques, this study identified variants and genes associated with Clostridioides difficile infection, provided insights into host immune mechanisms, and described the potential for novel treatment strategies for Clostridioides difficile infection. Future replication and functional validation are needed. Frontiers Media S.A. 2021-03-25 /pmc/articles/PMC8026859/ /pubmed/33841421 http://dx.doi.org/10.3389/fimmu.2021.638913 Text en Copyright © 2021 Li, Zhang, Jilg, Wolk, Khara, Kolinovsky, Rolston, Hontecillas, Bassaganya-Riera, Williams, Abedi and Lee https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Li, Jiang Zhang, Yanfei Jilg, Alexandria L. Wolk, Donna M. Khara, Harshit S. Kolinovsky, Amy Rolston, David D. K. Hontecillas, Raquel Bassaganya-Riera, Josep Williams, Marc S. Abedi, Vida Lee, Ming Ta Michael Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title | Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title_full | Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title_fullStr | Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title_full_unstemmed | Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title_short | Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records |
title_sort | variants at the mhc region associate with susceptibility to clostridioides difficile infection: a genome-wide association study using comprehensive electronic health records |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026859/ https://www.ncbi.nlm.nih.gov/pubmed/33841421 http://dx.doi.org/10.3389/fimmu.2021.638913 |
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