Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
_version_ 1783675711424299008
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
work_keys_str_mv AT lijiang variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT zhangyanfei variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT jilgalexandrial variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT wolkdonnam variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT kharaharshits variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT kolinovskyamy variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT rolstondaviddk variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT hontecillasraquel variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT bassaganyarierajosep variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT williamsmarcs variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT abedivida variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords
AT leemingtamichael variantsatthemhcregionassociatewithsusceptibilitytoclostridioidesdifficileinfectionagenomewideassociationstudyusingcomprehensiveelectronichealthrecords