Coffee consumption and the risk of rheumatoid arthritis and systemic lupus erythematosus: a Mendelian randomization study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bae, Sang-Cheol | - |
dc.contributor.author | Lee, Young Ho | - |
dc.date.accessioned | 2021-09-02T05:29:11Z | - |
dc.date.available | 2021-09-02T05:29:11Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-10 | - |
dc.identifier.issn | 0770-3198 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/72619 | - |
dc.description.abstract | We aimed to analyze the causal association between coffee consumption and the risk of rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). We performed a two-sample Mendelian randomization (MR) analysis using the inverse-variance weighted (IVW), MR-Egger regression, and weighted median methods. We used publicly available summary statistics datasets of coffee consumption genome-wide association studies (GWASs) as an exposure variable and RA and SLE GWASs as outcomes. Four single-nucleotide polymorphisms (SNPs) from GWASs of coffee consumption were selected as instrumental variables (IVs) to improve inference: NCARD (rs16868941), POR (rs17685), CYP1A1 (rs2470893), and LAMB4 (rs382140). The IVW method showed a causal association between coffee consumption and RA (beta = 0.770, SE = 0.279, p = 0.006). MR-Egger regression revealed that directional pleiotropy was unlikely to be biasing the result (intercept = - 0.145, p = 0.451). While the MR-Egger analysis showed no causal association between coffee consumption and RA (beta = 2.744, SE = 1.712, p = 0.355), the weighted median approach demonstrated a causal association between coffee consumption and RA (beta = 0.751, SE = 0.348, p = 0.031). However, the associations based on the weighted median analyses after the Bonferroni correction were not significant (adjusted p values = 0.091). The IVW, MR-Egger analysis, and weighted median methods showed no causal association between coffee consumption and SLE risk (beta = 0.594, SE = 0.437, p = 0.209; beta = 3.100, SE = 3.632, p = 0.550; beta = 0.733, SE = 0.567, p = 0.196). MR analysis results do not support causal associations between coffee consumption and the development of RA and SLE. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER LONDON LTD | - |
dc.subject | GENOME-WIDE ASSOCIATION | - |
dc.subject | GENETIC-VARIANTS | - |
dc.subject | METAANALYSIS | - |
dc.title | Coffee consumption and the risk of rheumatoid arthritis and systemic lupus erythematosus: a Mendelian randomization study | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Young Ho | - |
dc.identifier.doi | 10.1007/s10067-018-4278-9 | - |
dc.identifier.scopusid | 2-s2.0-85053271673 | - |
dc.identifier.wosid | 000444749500035 | - |
dc.identifier.bibliographicCitation | CLINICAL RHEUMATOLOGY, v.37, no.10, pp.2875 - 2879 | - |
dc.relation.isPartOf | CLINICAL RHEUMATOLOGY | - |
dc.citation.title | CLINICAL RHEUMATOLOGY | - |
dc.citation.volume | 37 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2875 | - |
dc.citation.endPage | 2879 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Rheumatology | - |
dc.relation.journalWebOfScienceCategory | Rheumatology | - |
dc.subject.keywordPlus | GENOME-WIDE ASSOCIATION | - |
dc.subject.keywordPlus | GENETIC-VARIANTS | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordAuthor | Coffee | - |
dc.subject.keywordAuthor | Mendelian randomization | - |
dc.subject.keywordAuthor | RA | - |
dc.subject.keywordAuthor | SLE | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.