Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

Abstract ObjectiveTo identify rheumatoid arthritis (RA) associated susceptibility genes and pathways through integrating genome-wide association study (GWAS) and gene expression profile data. MethodsA transcriptome-wide association study (TWAS) was conducted by the FUSION software for RA considering EBV-transformed lymphocytes (EL), transformed fibroblasts (TF), peripheral blood (NBL) and whole blood (YBL). GWAS summary data was driven from a large-scale GWAS, involving 5,539 autoantibody-positive RA patients and 20,169 controls. The TWAS-identified genes were further validated using the mRNA expression profiles and made a functional exploration. ResultsTWAS identified 692 genes with PTWAS values < 0.05 for RA. CRIPAK (PEL = 0.01293, PTF = 0.00038, PNBL = 0.02839, PYBL = 0.0978), MUT (PEL = 0.00377, PTF = 0.00076, PNBL = 0.00778, PYBL = 0.00096), FOXRED1 (PEL = 0.03834, PTF = 0.01120, PNBL = 0.01280, PYBL = 0.00583) and EBPL (PEL = 0.00806, PTF = 0.03761, PNBL = 0.03540, PYBL = 0.04254) were collectively expressed in all the four tissues/cells. 18 genes, including ANXA5, AP4B1, ATIC (PTWAS = 0.0113, down-regulated expression), C12orf65, CMAH, PDHB, RUNX3 (PTWAS = 0.0346, down-regulated expression), SBF1, SH2B3, STK38, TMEM43, XPNPEP1, KIAA1530, NUFIP2, PPP2R3C, RAB24, STX6, TLR5 (PTWAS = 0.04665, up-regulated expression), were validated with integrative analysis of TWAS and mRNA expression profiles. TWAS-identified genes functionally involved in endomembrane system organization, endoplasmic reticulum organization, regulation of cytokine production, TNF signaling pathway, etc. ConclusionWe identified multiple candidate genes and pathways, providing novel clues for the genetic mechanism of RA.

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Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

Arthritis Research & Therapy ◽

10.1186/s13075-021-02419-9 ◽

2021 ◽

Vol 23 (1) ◽

Author(s):

Cuiyan Wu ◽

Sijian Tan ◽

Li Liu ◽

Shiqiang Cheng ◽

Peilin Li ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Association Study ◽

Mrna Expression ◽

Signaling Pathway ◽

Large Scale ◽

Genome Wide Association Study ◽

Expression Profiles ◽

Susceptibility Genes ◽

Pathway Regulation ◽

Gene Expression Profile Data

Abstract Objective To identify rheumatoid arthritis (RA)-associated susceptibility genes and pathways through integrating genome-wide association study (GWAS) and gene expression profile data. Methods A transcriptome-wide association study (TWAS) was conducted by the FUSION software for RA considering EBV-transformed lymphocytes (EL), transformed fibroblasts (TF), peripheral blood (NBL), and whole blood (YBL). GWAS summary data was driven from a large-scale GWAS, involving 5539 autoantibody-positive RA patients and 20,169 controls. The TWAS-identified genes were further validated using the mRNA expression profiles and made a functional exploration. Results TWAS identified 692 genes with PTWAS values < 0.05 for RA. CRIPAK (PEL = 0.01293, PTF = 0.00038, PNBL = 0.02839, PYBL = 0.0978), MUT (PEL = 0.00377, PTF = 0.00076, PNBL = 0.00778, PYBL = 0.00096), FOXRED1 (PEL = 0.03834, PTF = 0.01120, PNBL = 0.01280, PYBL = 0.00583), and EBPL (PEL = 0.00806, PTF = 0.03761, PNBL = 0.03540, PYBL = 0.04254) were collectively expressed in all the four tissues/cells. Eighteen genes, including ANXA5, AP4B1, ATIC (PTWAS = 0.0113, downregulated expression), C12orf65, CMAH, PDHB, RUNX3 (PTWAS = 0.0346, downregulated expression), SBF1, SH2B3, STK38, TMEM43, XPNPEP1, KIAA1530, NUFIP2, PPP2R3C, RAB24, STX6, and TLR5 (PTWAS = 0.04665, upregulated expression), were validated with integrative analysis of TWAS and mRNA expression profiles. TWAS-identified genes functionally involved in endoplasmic reticulum organization, regulation of cytokine production, TNF signaling pathway, immune response-regulating signaling pathway, regulation of autophagy, etc. Conclusion We identified multiple candidate genes and pathways, providing novel clues for the genetic mechanism of RA.

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Trans-ancestry genome-wide association study identifies novel genetic mechanisms in rheumatoid arthritis

10.1101/2021.12.01.21267132 ◽

2021 ◽

Author(s):

Kazuyoshi Ishigaki ◽

Saori Sakaue ◽

Chikashi Terao ◽

Yang Luo ◽

Kyuto Sonehara ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Association Study ◽

Fine Mapping ◽

Large Scale ◽

Genome Wide Association Study ◽

Meta Analysis ◽

Genetic Research ◽

Genome Wide Association ◽

Polygenic Risk Score ◽

Genome Wide

AbstractTrans-ancestry genetic research promises to improve power to detect genetic signals, fine-mapping resolution, and performances of polygenic risk score (PRS). We here present a large-scale genome-wide association study (GWAS) of rheumatoid arthritis (RA) which includes 276,020 samples of five ancestral groups. We conducted a trans-ancestry meta-analysis and identified 124 loci (P < 5 × 10-8), of which 34 were novel. Candidate genes at the novel loci suggested essential roles of the immune system (e.g., TNIP2 and TNFRSF11A) and joint tissues (e.g., WISP1) in RA etiology. Trans-ancestry fine mapping identified putatively causal variants with biological insights (e.g., LEF1). Moreover, PRS based on trans-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between European and East Asian populations. Our study provides multiple insights into the etiology of RA and improves genetic predictability of RA.

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