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 ...
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Dokumenttyp: | Artikel |
Reihe/Periodikum: | Arthritis research & therapy |
Verlag/Hrsg.: |
London,
BioMed Central
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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 NULL |
Datenquelle: | Online Contents Benelux; Originalkatalog |
Powered By: | Verbundzentrale des GBV (VZG) |
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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