Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study

According to a report by van Steenbergen et al., prediction accuracy of severe radiographic progression reached only 62% using a model consisting of 17 known genetic loci from several replication studies and meta-analysis and clinical factors [4]. [...]we sought to develop a more accurate and reliable prediction model for radiographic progression using a comprehensive approach consisting of GWAS, post-GWAS analysis, and bioinformatics. [...]we collected 4666 miRNA regions from miRbase [13] and their target genes from miRTarBase [14]. [...]we assessed cis and trans-expression quantitative trait... Mehr ...

Verfasser: Young Bin Joo
Dokumenttyp: Artikel
Reihe/Periodikum: Arthritis research & therapy
Verlag/Hrsg.: London, BioMed Central
Sprache: Englisch
ISSN: 1478-6354
Weitere Identifikatoren: doi: 10.1186/s13075-017-1414-x
Permalink: https://search.fid-benelux.de/Record/olc-benelux-1999704207
URL: NULL
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Datenquelle: Online Contents Benelux; Originalkatalog
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Link(s) : http://dx.doi.org/10.1186/s13075-017-1414-x
http://dx.doi.org/10.1186/s13075-017-1414-x
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