TY - JOUR
T1 - Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection
T2 - A Genome-Wide Association Study Using Comprehensive Electronic Health Records
AU - on behalf of Regeneron Genetics Center
AU - Li, Jiang
AU - Zhang, Yanfei
AU - Jilg, Alexandria L.
AU - Wolk, Donna M.
AU - Khara, Harshit S.
AU - Kolinovsky, Amy
AU - Rolston, David D.K.
AU - Hontecillas, Raquel
AU - Bassaganya-Riera, Josep
AU - Williams, Marc S.
AU - Abedi, Vida
AU - Lee, Ming Ta Michael
N1 - Funding Information:
This work was supported by Regeneron Genetic Center which provided funds for MyCode consenting, sample collection, genotyping, and genetic data processing. The internal fund to MTML from Geisinger and the external fund from the Defense Threat Reduction Agency to JB-R, RH, and VA (HDTRA1-18-1-0008) supported the data extraction and analyses. The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.
Publisher Copyright:
© Copyright © 2021 Li, Zhang, Jilg, Wolk, Khara, Kolinovsky, Rolston, Hontecillas, Bassaganya-Riera, Williams, Abedi and Lee.
PY - 2021/3/25
Y1 - 2021/3/25
N2 - 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.
AB - 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.
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U2 - 10.3389/fimmu.2021.638913
DO - 10.3389/fimmu.2021.638913
M3 - Article
C2 - 33841421
AN - SCOPUS:85103843211
SN - 1664-3224
VL - 12
JO - Frontiers in immunology
JF - Frontiers in immunology
M1 - 638913
ER -