scholarly journals MicroRNA variants and HLA-miRNA interactions are novel rheumatoid arthritis susceptibility factors

2020 ◽  
Author(s):  
Shicheng Guo ◽  
Yehua Jin ◽  
Jieru Zhou ◽  
Qi Zhu ◽  
Ting Jiang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Target Genes ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association Studies ◽  
Risk Alleles ◽  
Novel Mirna ◽  
Chinese Cohort ◽  
Target Binding ◽  
Immune Related Genes

AbstractObjectiveAlthogh Genome-wide association studies have identified >100 variants for rheumatoid arthritis (RA),the reported genetic variants only explain <40% of RA heritability. We conducted a systemic association study between common East-Asian miRNA SNPs with RA in a large Han Chinese cohort to explain missing heritability and identify miRNA epistatic interactions.Methods4 HLA SNPs (HLA-DRB1, HLA-DRB9, HLA-DQB1 and TNFAIP3) and 225 common SNPs located in miRNA which might influence the miRNA target binding or pre-miRNA stability were genotyped in 1,607 rheumatoid arthritis and 1,580 matched normal individuals. A meta-analysis with previous GWAS studies (4,873 RA cases and 17,642 controls) was performed to discovery another novel miRNA RA-associated SNPs.Results2 novel SNPs including rs1414273 (miR-548ac, OR=0.84, P=8.26×10-4) and rs2620381 (miR-627, OR=0.77, P=2.55×10-3) conferred significant association with RA. Individuals carried 8 risk alleles showed 15.38 (95%CI: 4.69-50.49, P<1.0×10-6) times more risk to be affected by RA. In addition, rs5997893 (miR-3928) showed significant epistasis effect with rs4947332 (HLA-DRB1, OR=4.23, P=0.04) and rs2967897 (miR-5695) with rs7752903 (TNFAIP3, OR=4.43, P=0.03). Finally, we demonstrated targets of the significant miRNAs showed enrichment in immune related genes (P=2.0×10-5) and FDA approved drug target genes (P=0.014).Conclusions6 novel miRNA SNPs including rs1414273 (miR-548ac, P=8.26×10-4), rs2620381 (miR-627, P=2.55×10-3), rs4285314 (miR-3135b, P=1.10×10-13), rs28477407 (miR-4308, P=3.44×10-5), rs5997893 (miR-3928, P=5.9×10-3) and rs45596840 (miR-4482, P=6.6×10-3) were confirmed to be significantly associated with RA in a Chinese population. Our study suggests that miRNAs might be interesting targets to accelerate the understanding of the pathogenesis and drug development for rheumatoid arthritis.

scholarly journals MicroRNA Variants and HLA-miRNA Interactions are Novel Rheumatoid Arthritis Susceptibility Factors

2021 ◽  
Vol 12 ◽  
Author(s):  
Shicheng Guo ◽  
Yehua Jin ◽  
Jieru Zhou ◽  
Qi Zhu ◽  
Ting Jiang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Target Genes ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Risk Alleles ◽  
Novel Mirna ◽  
Genome Wide ◽  
Normal Individuals ◽  
Target Binding ◽  
Immune Related Genes

Genome-wide association studies have identified &gt;100 genetic risk factors for rheumatoid arthritis. However, the reported genetic variants could only explain less than 40% heritability of rheumatoid arthritis. The majority of the heritability is still missing and needs to be identified with more studies with different approaches and populations. In order to identify novel function SNPs to explain missing heritability and reveal novel mechanism pathogenesis of rheumatoid arthritis, 4 HLA SNPs (HLA-DRB1, HLA-DRB9, HLA-DQB1, and TNFAIP3) and 225 common SNPs located in miRNA, which might influence the miRNA target binding or pre-miRNA stability, were genotyped in 1,607 rheumatoid arthritis and 1,580 matched normal individuals. We identified 2 novel SNPs as significantly associated with rheumatoid arthritis including rs1414273 (miR-548ac, OR = 0.84, p = 8.26 × 10−4) and rs2620381 (miR-627, OR = 0.77, p = 2.55 × 10−3). We also identified that rs5997893 (miR-3928) showed significant epistasis effect with rs4947332 (HLA-DRB1, OR = 4.23, p = 0.04) and rs2967897 (miR-5695) with rs7752903 (TNFAIP3, OR = 4.43, p = 0.03). In addition, we found that individuals who carried 8 risk alleles showed 15.38 (95%CI: 4.69–50.49, p &lt; 1.0 × 10−6) times more risk of being affected by RA. Finally, we demonstrated that the targets of the significant miRNAs showed enrichment in immune related genes (p = 2.0 × 10−5) and FDA approved drug target genes (p = 0.014). Overall, 6 novel miRNA SNPs including rs1414273 (miR-548ac, p = 8.26 × 10−4), rs2620381 (miR-627, p = 2.55 × 10−3), rs4285314 (miR-3135b, p = 1.10 × 10−13), rs28477407 (miR-4308, p = 3.44 × 10−5), rs5997893 (miR-3928, p = 5.9 × 10−3) and rs45596840 (miR-4482, p = 6.6 × 10−3) were confirmed to be significantly associated with RA in a Chinese population. Our study suggests that miRNAs might be interesting targets to accelerate understanding of the pathogenesis and drug development for rheumatoid arthritis.

scholarly journals Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis

2019 ◽  
Author(s):  
Jing Yang ◽  
Amanda McGovern ◽  
Paul Martin ◽  
Kate Duffus ◽  
Xiangyu Ge ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
T Cells ◽  
Complex Disease ◽  
Target Genes ◽  
Disease Risk ◽  
Association Studies ◽  
Dna Interaction ◽  
Genome Wide Association Studies ◽  
Causal Genes

AbstractGenome-wide association studies have identified genetic variation contributing to complex disease risk. However, assigning causal genes and mechanisms has been more challenging because disease-associated variants are often found in distal regulatory regions with cell-type specific behaviours. Here, we collect ATAC-seq, Hi-C, Capture Hi-C and nuclear RNA-seq data in stimulated CD4+ T-cells over 24 hours, to identify functional enhancers regulating gene expression. We characterise changes in DNA interaction and activity dynamics that correlate with changes gene expression, and find that the strongest correlations are observed within 200 kb of promoters. Using rheumatoid arthritis as an example of T-cell mediated disease, we demonstrate interactions of expression quantitative trait loci with target genes, and confirm assigned genes or show complex interactions for 20% of disease associated loci, including FOXO1, which we confirm using CRISPR/Cas9.

scholarly journals Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants

PLoS Genetics ◽  
2021 ◽  
Vol 17 (11) ◽  
pp. e1009918
Author(s):  
Bernard Ng ◽  
William Casazza ◽  
Nam Hee Kim ◽  
Chendi Wang ◽  
Farnush Farhadi ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Target Genes ◽  
Association Studies ◽  
Disease Genes ◽  
Genome Wide Association Studies ◽  
Cascading Effects ◽  
Risk Alleles ◽  
Gene Sets ◽  
Genome Wide ◽  
Regulatory Landscape

The majority of genetic variants detected in genome wide association studies (GWAS) exert their effects on phenotypes through gene regulation. Motivated by this observation, we propose a multi-omic integration method that models the cascading effects of genetic variants from epigenome to transcriptome and eventually to the phenome in identifying target genes influenced by risk alleles. This cascading epigenomic analysis for GWAS, which we refer to as CEWAS, comprises two types of models: one for linking cis genetic effects to epigenomic variation and another for linking cis epigenomic variation to gene expression. Applying these models in cascade to GWAS summary statistics generates gene level statistics that reflect genetically-driven epigenomic effects. We show on sixteen brain-related GWAS that CEWAS provides higher gene detection rate than related methods, and finds disease relevant genes and gene sets that point toward less explored biological processes. CEWAS thus presents a novel means for exploring the regulatory landscape of GWAS variants in uncovering disease mechanisms.

scholarly journals Meta-Analysis of Genome-Wide Association Studies in Celiac Disease and Rheumatoid Arthritis Identifies Fourteen Non-HLA Shared Loci

PLoS Genetics ◽  
2011 ◽  
Vol 7 (2) ◽  
pp. e1002004 ◽  
Author(s):  
Alexandra Zhernakova ◽  
Eli A. Stahl ◽  
Gosia Trynka ◽  
Soumya Raychaudhuri ◽  
Eleanora A. Festen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Celiac Disease ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals Schizophrenia Risk Alleles Often Affect The Expression of Many Genes and Each Gene May Have a Different Effect On The Risk; A Mediation Analysis

2020 ◽  
Author(s):  
Xi Peng ◽  
Joel S. Bader ◽  
Dimitrios Avramopoulos
Keyword(s):  
Gene Expression ◽  
Mediation Analysis ◽  
Target Genes ◽  
Risk Allele ◽  
Association Studies ◽  
Cell Types ◽  
Developmental Time ◽  
Genome Wide Association Studies ◽  
Expression Change ◽  
Risk Alleles

ABSTRACTVariants identified by genome-wide association studies (GWAS) are often expression quantitative trait loci (eQTLs), suggesting they are proxies or are themselves regulatory. Across many datasets analyses show that variants often affect multiple genes. Lacking data on many tissue types, developmental time points and homogeneous cell types, the extent of this one-to-many relationship is underestimated. This raises questions on whether a disease eQTL target gene explains the genetic association or is a by-stander and puts into question the direction of expression effect of on the risk, since the many variant - regulated genes may have opposing effects, imperfectly balancing each other. We used two brain gene expression datasets (CommonMind and BrainSeq) for mediation analysis of schizophrenia-associated variants. We confirm that eQTL target genes often mediate risk but the direction in which expression affects risk is often different from that in which the risk allele changes expression. Of 38 mediator genes significant in both datasets 33 showed consistent mediation direction (Chi2 test P=6*10−6). One might expect that the expression would correlate with the risk allele in the same direction it correlates with disease. For 15 of these 33 (45%), however, the expression change associated with the risk allele was protective, suggesting the likely presence of other target genes with overriding effects. Our results identify specific risk mediating genes and suggest caution in interpreting the biological consequences of targeted modifications of gene expression, as not all eQTL targets may be relevant to disease while those that are, might have different than expected directions.

scholarly journals Susceptibility variants for rheumatoid arthritis in the TRAF1-C5 and 6q23 loci: a meta-analysis

2009 ◽  
Vol 69 (3) ◽  
pp. 561-566 ◽  
Author(s):  
Nikolaos A Patsopoulos ◽  
John P A Ioannidis
Keyword(s):  
Rheumatoid Arthritis ◽  
Association Studies ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Genome Wide Association Studies ◽  
Gene Environment ◽  
Genome Wide ◽  
Study Heterogeneity ◽  
Meta Analyses ◽  
Citrullinated Peptide

BackgroundGenome-wide association studies have proposed susceptibility variants for rheumatoid arthritis in the TRAF1-C5 locus and 6q23 region. Furthermore, additional independent studies have investigated the same or highly linked polymorphisms in the same regions.ObjectiveTo carry out a meta-analysis of the available evidence for the association of polymorphisms in the TRAF1-C5 locus and 6q23 region with rheumatoid arthritis.MethodsData were synthesised for four polymorphisms: rs3761847 (n=13 datasets) and rs2900180 (n=9 datasets) in the TRAF1-C5 locus, and rs10499194 (n=5 datasets) and rs6920220 (n=7 datasets) in the 6q23 region. Meta-analyses for subgroups defined by anti-cyclic citrullinated peptide (anti-CCP) and rheumatoid factor (RF) status were also performed.ResultsThe polymorphism rs6920220 reached genome-wide statistical significance with p=7.9×10−17 and an allelic odds ratio of 1.24 (95% CI 1.18 to 1.30) and no between-study heterogeneity (I2=0%). The risk was significantly stronger in patients with anti-CCP antibodies and in patients with RF. The other three variants showed large between-study heterogeneity across datasets (I2 range 74–82%); rs10499194 was nominally statistically significant after exclusion of the discovery data. Two variants had genome-wide statistical significance in subgroups defined by the presence of RF (rs3761847 and rs6920220) or anti-CCP (rs6920220).ConclusionsGenetic markers in the 6q23 region and TRAF1-C5 are associated with rheumatoid arthritis, in particular with positive anti-CCP and RF profile. With the exception of rs6920220, which shows highly consistent results, other proposed markers have high between-study heterogeneity that may reflect unrecognised phenotypic or genetic variability (eg, gene environment interactions) within rheumatoid arthritis. Furthermore, these markers may not be the true causative loci but rather be in linkage disequilibrium with the true ones.

scholarly journals The Role of 39 Psoriasis Risk Variants on Age of Psoriasis Onset

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Yingchang Lu ◽  
Sinae Kane ◽  
Haoyan Chen ◽  
Argentina Leon ◽  
Ethan Levin ◽  
...  
Keyword(s):  
Age Of Onset ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association Studies ◽  
Risk Alleles ◽  
False Discovery ◽  
Risk Variants ◽  
Genome Wide ◽  
Independent Cohort

Recent genome-wide association studies (GWAS) have identified multiple genetic risk factors for psoriasis, but data on their association with age of onset have been marginally explored. The goal of this study was to evaluate known risk alleles of psoriasis for association with age of psoriasis onset in three well-defined case-only cohorts totaling 1,498 psoriasis patients. We selected 39 genetic variants from psoriasis GWAS and tested these variants for association with age of psoriasis onset in a meta-analysis. We found that rs10484554 and rs12191877 near HLA-C and rs17716942 near IFIH1 were associated with age of psoriasis onset with false discovery rate < 0.05. The association between rs17716942 and age of onset was not replicated in a fourth independent cohort of 489 patients (). The imputed HLA-C*06:02 allele demonstrated a much stronger association with age of psoriasis onset than rs10484554 and rs12191877. We conclude that despite the discovery of numerous psoriasis risk alleles, HLA-C*06:02 still plays the most important role in determining the age of onset of psoriasis. Larger studies are needed to evaluate the contribution of other risk alleles, including IFIH1, to age of psoriasis onset.

Causal relationship between years of education and the occurrence of rheumatoid arthritis

2019 ◽  
Vol 95 (1125) ◽  
pp. 378-381 ◽  
Author(s):  
Sang-Cheol Bae ◽  
Young Ho Lee
Keyword(s):  
Rheumatoid Arthritis ◽  
Association Studies ◽  
Meta Analysis ◽  
Mendelian Randomisation ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Causative Relationship ◽  
Weighted Median ◽  
The Uk ◽  
Education And Development

ObjectiveTo search out whether or not years of education is causally related to rheumatoid arthritis (RA).MethodWe conducted a two-sample Mendelian randomisation (MR) analysis employing inverse-variance weighted (IVW), weighted median and MR-Egger regression analysis. We chose statistic data of years of education from the UK Biobank genome-wide association studies (GWASs) (n=293 723) as the exposure and a meta-analysis of GWASs of RA with autoantibody (n=5539) and European controls (n=20 169) as the outcome.ResultsWe selected a total of 49 single nucleotide polymorphisms as instrumental variables (IVs). The IVW method instructed an inverse causative relationship between years of education and RA (β=− 0.039, SE=0.283, p=0.008). MR-Egger regression test showed that directional pleiotropy seems not to bias the MR results (intercept=0.028; p=0.358). MR-Egger analysis demonstrated no causative relationship between RA and years of education (β=− 2.320, SE=1.709, p=0.181). However, the weighted median approach indicated a causative association between RA and years of education (β=−0.950, SE=0.355, p=0.008).ConclusionsThe MR analysis supported a potential inverse causative relationship between years of education and development of RA.

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