FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894926148> ?p ?o ?g. }

• W2894926148 endingPage "96" @default.
• W2894926148 startingPage "83" @default.
• W2894926148 abstract "The aim of this case–control study was to evaluate whether 47 single-nucleotide polymorphisms (SNPs) in steroid hormone-related genes are associated with the risk of RA and anti-TNF drug response. We conducted a case–control study in 3 European populations including 2936 RA patients and 2197 healthy controls. Of those, a total of 1985 RA patients were treated with anti-TNF blockers. The association of potentially interesting markers in the discovery population was validated through meta-analysis with data from DREAM and DANBIO registries. Although none of the selected variants had a relevant role in modulating RA risk, the meta-analysis of the linear regression data with those from the DREAM and DANBIO registries showed a significant correlation of the CYP3A4rs11773597 and CYP2C9rs1799853 variants with changes in DAS28 after the administration of anti-TNF drugs (P = 0.00074 and P = 0.006, respectively). An overall haplotype analysis also showed that the ESR2GGG haplotype significantly associated with a reduced chance of having poor response to anti-TNF drugs (P = 0.0009). Finally, a ROC curve analysis confirmed that a model built with eight steroid hormone-related variants significantly improved the ability to predict drug response compared with the reference model including demographic and clinical variables (AUC = 0.633 vs. AUC = 0.556; PLR_test = 1.52 × 10−6). These data together with those reporting that the CYP3A4 and ESR2 SNPs correlate with the expression of TRIM4 and ESR2 mRNAs in PBMCs (ranging from P = 1.98 × 10−6 to P = 2.0 × 10−35), and that the CYP2C9rs1799853 SNP modulates the efficiency of multiple drugs, suggest that steroid hormone-related genes may have a role in determining the response to anti-TNF drugs. KEY POINTS • Polymorphisms within the CYP3A4 and CYP2C9 loci correlate with changes in DAS28 after treatment with anti-TNF drugs. • A haplotype including eQTL SNPs within the ESR2 gene associates with better response to anti-TNF drugs. • A genetic model built with eight steroid hormone-related variants significantly improved the ability to predict drug response." @default.
• W2894926148 created "2018-10-12" @default.
• W2894926148 creator A5001359886 @default.
• W2894926148 creator A5004285350 @default.
• W2894926148 creator A5005307562 @default.
• W2894926148 creator A5013492063 @default.
• W2894926148 creator A5017083463 @default.
• W2894926148 creator A5018722010 @default.
• W2894926148 creator A5019812476 @default.
• W2894926148 creator A5029470208 @default.
• W2894926148 creator A5030365370 @default.
• W2894926148 creator A5034703202 @default.
• W2894926148 creator A5039173872 @default.
• W2894926148 creator A5040345740 @default.
• W2894926148 creator A5042525071 @default.
• W2894926148 creator A5043747371 @default.
• W2894926148 creator A5048248640 @default.
• W2894926148 creator A5048428887 @default.
• W2894926148 creator A5048760289 @default.
• W2894926148 creator A5052676135 @default.
• W2894926148 creator A5054708705 @default.
• W2894926148 creator A5061087463 @default.
• W2894926148 creator A5063273998 @default.
• W2894926148 creator A5063586848 @default.
• W2894926148 creator A5065625593 @default.
• W2894926148 creator A5066462526 @default.
• W2894926148 creator A5069183377 @default.
• W2894926148 creator A5078386764 @default.
• W2894926148 creator A5079984968 @default.
• W2894926148 creator A5081741563 @default.
• W2894926148 creator A5086079358 @default.
• W2894926148 creator A5088232871 @default.
• W2894926148 date "2018-10-05" @default.
• W2894926148 modified "2023-10-18" @default.
• W2894926148 title "Polymorphisms at phase I-metabolizing enzyme and hormone receptor loci influence the response to anti-TNF therapy in rheumatoid arthritis patients" @default.
• W2894926148 cites W1527682346 @default.
• W2894926148 cites W1590467919 @default.
• W2894926148 cites W1965324533 @default.
• W2894926148 cites W1966533731 @default.
• W2894926148 cites W1973374553 @default.
• W2894926148 cites W1987373756 @default.
• W2894926148 cites W1990042770 @default.
• W2894926148 cites W1996135248 @default.
• W2894926148 cites W1998243787 @default.
• W2894926148 cites W2000905503 @default.
• W2894926148 cites W2002779112 @default.
• W2894926148 cites W2004302812 @default.
• W2894926148 cites W2006712767 @default.
• W2894926148 cites W2023729916 @default.
• W2894926148 cites W2025943989 @default.
• W2894926148 cites W2027259461 @default.
• W2894926148 cites W2030018298 @default.
• W2894926148 cites W2030480043 @default.
• W2894926148 cites W2030705868 @default.
• W2894926148 cites W2032866878 @default.
• W2894926148 cites W2033375528 @default.
• W2894926148 cites W2043709854 @default.
• W2894926148 cites W2045688706 @default.
• W2894926148 cites W2047680529 @default.
• W2894926148 cites W2069359258 @default.
• W2894926148 cites W2074607235 @default.
• W2894926148 cites W2081243825 @default.
• W2894926148 cites W2091593883 @default.
• W2894926148 cites W2095487392 @default.
• W2894926148 cites W2095588970 @default.
• W2894926148 cites W2100786986 @default.
• W2894926148 cites W2102477325 @default.
• W2894926148 cites W2117521399 @default.
• W2894926148 cites W2117779687 @default.
• W2894926148 cites W2128727471 @default.
• W2894926148 cites W2139259865 @default.
• W2894926148 cites W2152348310 @default.
• W2894926148 cites W2152664025 @default.
• W2894926148 cites W2152754505 @default.
• W2894926148 cites W2159774735 @default.
• W2894926148 cites W2160859576 @default.
• W2894926148 cites W2163320038 @default.
• W2894926148 cites W2170984667 @default.
• W2894926148 cites W2217616236 @default.
• W2894926148 cites W2552691388 @default.
• W2894926148 cites W956907534 @default.
• W2894926148 doi "https://doi.org/10.1038/s41397-018-0057-x" @default.
• W2894926148 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30760878" @default.
• W2894926148 hasPublicationYear "2018" @default.
• W2894926148 type Work @default.
• W2894926148 sameAs 2894926148 @default.
• W2894926148 citedByCount "9" @default.
• W2894926148 countsByYear W28949261482019 @default.
• W2894926148 countsByYear W28949261482020 @default.
• W2894926148 countsByYear W28949261482021 @default.
• W2894926148 countsByYear W28949261482022 @default.
• W2894926148 countsByYear W28949261482023 @default.
• W2894926148 crossrefType "journal-article" @default.
• W2894926148 hasAuthorship W2894926148A5001359886 @default.
• W2894926148 hasAuthorship W2894926148A5004285350 @default.
• W2894926148 hasAuthorship W2894926148A5005307562 @default.
• W2894926148 hasAuthorship W2894926148A5013492063 @default.
• W2894926148 hasAuthorship W2894926148A5017083463 @default.

• next