Literature DB >> 23318300

Genetic evidence for the involvement of NOTCH4 in rheumatoid arthritis and alopecia areata.

Suad AlFadhli1, Arti Nanda.   

Abstract

To explore the genetic association of single nucleotide polymorphisms (SNPs) in the coding region of the NOTCH4, exon 3 C+1297T and exon 5 A+3063G, in a case-control analysis of 58 rheumatoid arthritis (RA) and 98 alopecia areata (AA) and 100 ethnically matched healthy subjects. NOTCH4 polymorphisms were genotyped by standard PCR followed by restriction digestion. Analysis of C+1297T SNP revealed a significant association of allele C+1297 (p=0.03, OR=1.66, 95%CI 1.04-2.64) and genotype CT (p=0.002, OR=2.82, 95%CI 1.42-5.59) with susceptibility to RA. Analysis of A+3063G SNP revealed a significant association of allele A+3063 (p=0.05, OR=0.59, 95%CI 0.35-1.008) and genotype AA (p=0.002, OR=0.39, 95%CI 0.17-0.87) with RA. Over all analysis between alopecia patients and the studied SNPs failed to show any significant association. Classifying the patients by severity of disease, confined the risk role of CT genotype to the severest form of alopecia universalis (p=0.006, OR=3.82, 95%CI 1.39-3.82) and AG genotype to semiuniversalis alopecia (p=0.004, OR=4.3, 95%CI 1.5-15.3). Present study is the first to report a statistically significant association between RA and NOTCH4 polymorphisms.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23318300     DOI: 10.1016/j.imlet.2013.01.002

Source DB:  PubMed          Journal:  Immunol Lett        ISSN: 0165-2478            Impact factor:   3.685


  6 in total

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2.  The Immunogenetics of Alopecia areata.

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Journal:  Exp Dermatol       Date:  2013-09       Impact factor: 3.960

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Review 5.  Knowledge-based analysis of genetic associations of rheumatoid arthritis to inform studies searching for pleiotropic genes: a literature review and network analysis.

Authors:  Weiying Zheng; Shaoqi Rao
Journal:  Arthritis Res Ther       Date:  2015-08-08       Impact factor: 5.156

6.  Identification of novel genetic loci for osteoporosis and/or rheumatoid arthritis using cFDR approach.

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Journal:  PLoS One       Date:  2017-08-30       Impact factor: 3.240

  6 in total

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