Integrating transcriptome-wide association study and mRNA expression profile identified sensitive genes related to hand osteoarthritis

2020 ◽  
Author(s):  
Jiawen Xu ◽  
Yi Zeng ◽  
Haibo Si ◽  
Yuan Liu ◽  
Mingyang Li ◽  
...  

Abstract Background Osteoarthritis (OA) is a common skeletal system disease which proven partly related to genetic factors. The hand is a frequently affected part, which seriously affects the quality of life. But pathogenesis mechanism of hand osteoarthritis (hand OA) is still elusive. Methods The Genome-wide association study (GWAS)summary of hand OA was derived from the UK Biobank, which contains 452,264 White British individuals with 37782 osteoarthritis patients. The transcriptome-wide association study (TWAS)of hand OA was carried out using the Functional Summary-based Imputation (FUSION) using the gene expression references of muscle skeleton and blood. The significant genes identified by TWAS were further subjected to gene sets enrichment analysis (GSEA) by the Database for Annotation, Visualization and Integrated Discovery (DAVID) tool. Furthermore, we compared the identified genes and gene sets of TWAS with that of an OA mRNA expression profile to detect the genes and gene sets shared by TWAS and mRNA expression profiles of OA. Results TWAS identified 177 genes with P value < 0.05 for muscle skeleton, such as ANKRD44 (P = 0.0001), RIC3(P = 0.0003), AC005154.6 (P = 0.0004). TWAS identified 423 genes with P value < 0.05 for blood, such as CRIM1(P = 0.0002), ZNF880 (P = 0.0002), NCKIPSD (P = 0.0003).After comparing these results of TWAS to those of mRNA expression profile, we identified 5 common genes, such as DHRS3 (log2fold=-1.85, P = 3.31 × 10− 9), SKP2(log2fold = 1.36, P = 1.62 × 10− 8). GSEA of TWAS identified genes detected 51 gene ontology (GO) terms for hand OA, for example, protein binding (P = 0.0003), cytosol (P = 0.0020). We also detected 6 common GO terms shared by TWAS and mRNA expression profiling of OA, such as protein binding (PTWAS = 2.54 × 10− 4, PmRNA = 3.42 × 10− 8), extracellular exosome (PTWAS =0.02, PmRNA = 1.18 × 10− 4), cytoplasm(PTWAS =0.0183, PmRNA = 0.0048). Conclusion In this study, we selected 5 sensitive genes(DHRS3, SKP2, IRS2, TOB1, PPP1R15A)and 6 GO terms(protein binding, extracellular exosome, cytoplasm, oxidoreductase, cellular response to mechanical stimulus, oxidation-reduction process) related to the hand osteoarthritis, which may help to uncover the pathogenesis of hand osteoarthritis at the genetic and molecular levels.

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Jiawen Xu ◽  
Yi Zeng ◽  
Haibo Si ◽  
Yuan Liu ◽  
Mingyang Li ◽  
...  

Abstract Background Osteoarthritis (OA) is a common skeletal system disease that has been partially attributed to genetic factors. The hand is frequently affected, which seriously affects the patient’s quality of life. However, the pathogenetic mechanism of hand osteoarthritis (hand OA) is still elusive. Methods A genome-wide association study (GWAS) summary of hand OA was obtained from the UK Biobank dataset, which contains data from a total of 452,264 White British individuals, including 37,782 OA patients. The transcriptome-wide association study (TWAS) of hand OA was performed using FUnctional Summary-based ImputatiON (FUSION) with the skeletal muscle and blood as gene expression references. The significant genes identified by TWAS were further subjected to gene set enrichment analysis (GSEA) with the Database for Annotation, Visualization and Integrated Discovery (DAVID) tool. Furthermore, we compared the genes and gene sets identified by our TWAS with that of a knee OA mRNA expression profile to detect the genes and gene sets shared by TWAS and mRNA expression profiles in OA. The mRNA expression profiles of 18 normal knee cartilages and 20 OA knee cartilages were acquired from the Gene Expression Omnibus database (accession number: GSE114007). Results TWAS identified 177 genes with P < 0.05 for the skeletal muscle, including ANKRD44 (P = 0.0001), RIC3 (P = 0.0003), and AC005154.6 (P = 0.0004). TWAS identified 423 genes with P < 0.05 for the blood, including CRIM1 (P = 0.0002), ZNF880 (P = 0.0002), and NCKIPSD (P = 0.0003). After comparing the results of the TWAS to those of the mRNA expression profiling of OA, we identified 5 common genes, including DHRS3 (log2fold = − 1.85, P = 3.31 × 10− 9) and SKP2 (log2fold = 1.36, P = 1.62 × 10− 8). GSEA of TWAS identified 51 gene ontology (GO) terms for hand OA, for example, protein binding (P = 0.0003) and cytosol (P = 0.0020). We also detected 6 common GO terms shared by TWAS and mRNA expression profiling, including protein binding (PTWAS = 2.54 × 10− 4, PmRNA = 3.42 × 10− 8), extracellular exosome (PTWAS = 0.02, PmRNA = 1.18 × 10− 4), and cytoplasm (PTWAS = 0.0183, PmRNA = 0.0048). Conclusion In this study, we identified 5 candidate genes and 6 GO terms related to hand OA, which may help to uncover the pathogenesis of hand OA. It should be noted that the possible difference in the gene expression profiles between hand OA and knee OA may affect our study results, which should be interpreted with caution.


2020 ◽  
Vol 11 ◽  
Author(s):  
Weiming Gong ◽  
Ping Guo ◽  
Lu Liu ◽  
Qingbo Guan ◽  
Zhongshang Yuan

Idiopathic pulmonary fibrosis (IPF) is a type of scarring lung disease characterized by a chronic, progressive, and irreversible decline in lung function. The genetic basis of IPF remains elusive. A transcriptome-wide association study (TWAS) of IPF was performed by FUSION using gene expression weights of three tissues combined with a large-scale genome-wide association study (GWAS) dataset, totally involving 2,668 IPF cases and 8,591 controls. Significant genes identified by TWAS were then subjected to gene ontology (GO) and pathway enrichment analysis. The overlapped GO terms and pathways between enrichment analysis of TWAS significant genes and differentially expressed genes (DEGs) from the genome-wide mRNA expression profiling of IPF were also identified. For TWAS significant genes, protein–protein interaction (PPI) network and clustering modules analyses were further conducted using STRING and Cytoscape. Overall, TWAS identified a group of candidate genes for IPF under the Bonferroni corrected P value threshold (0.05/14929 = 3.35 × 10–6), such as DSP (PTWAS = 1.35 × 10–29 for lung tissue), MUC5B (PTWAS = 1.09 × 10–28 for lung tissue), and TOLLIP (PTWAS = 1.41 × 10–15 for whole blood). Pathway enrichment analysis identified multiple candidate pathways, such as herpes simplex infection (P value = 7.93 × 10–5) and antigen processing and presentation (P value = 6.55 × 10–5). 38 common GO terms and 8 KEGG pathways shared by enrichment analysis of TWAS significant genes and DEGs were identified. In the PPI network, 14 genes (DYNLL1, DYNC1LI1, DYNLL2, HLA-DRB5, HLA-DPB1, HLA-DQB2, HLA-DQA2, HLA-DQB1, HLA-DRB1, POLR2L, CENPP, CENPK, NUP133, and NUP107) were simultaneously detected by hub gene and module analysis. In conclusion, through integrative analysis of TWAS and mRNA expression profiles, we identified multiple novel candidate genes, GO terms and pathways for IPF, which contributes to the understanding of the genetic mechanism of IPF.


2012 ◽  
Vol 508 (1) ◽  
pp. 4-8 ◽  
Author(s):  
Filippo Martinelli-Boneschi ◽  
Chiara Fenoglio ◽  
Paola Brambilla ◽  
Melissa Sorosina ◽  
Giacomo Giacalone ◽  
...  

BMC Genomics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Tainã Figueiredo Cardoso ◽  
Raquel Quintanilla ◽  
Joan Tibau ◽  
Marta Gil ◽  
Emilio Mármol-Sánchez ◽  
...  

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