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GWAS Study

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

Joo YB, Kim Y, Park Y et al.

29065906 PubMed ID
GWAS Study Type
238 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

JY
Joo YB
KY
Kim Y
PY
Park Y
KK
Kim K
RJ
Ryu JA
LS
Lee S
BS
Bang SY
LH
Lee HS
YG
Yi GS
BS
Bae SC
Chapter II

Abstract

Summary of the research findings

Radiographic progression is reported to be highly heritable in rheumatoid arthritis (RA). However, previous study using genetic loci showed an insufficient accuracy of prediction for radiographic progression. The aim of this study is to identify a biologically relevant prediction model of radiographic progression in patients with RA using a genome-wide association study (GWAS) combined with bioinformatics analysis.

120 Korean ancestry cases, 118 Korean ancestry controls

Chapter III

Study Statistics

Key metrics and study information

238
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Republic of Korea
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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