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Sequencing of TNFAIP3 and association of variants with multiple autoimmune diseases.

ABSTRACT: The TNFAIP3 locus at 6q23, encoding A20, has been associated with multiple autoimmune diseases (AIDs). In this study, we sequence the coding portions of the gene to identify contributing causal polymorphisms that may explain some of the observed associations. A collection of 123 individuals from the Multiple Autoimmune Disease Genetics Consortium (MADGC) collection, each with multiple AIDs (mean=2.2 confirmed diagnoses), and 397 unrelated healthy controls were used for initial sequencing. A total of 32 polymorphisms were identified in the sequencing experiments, including 16 novel and 11 coding variants. Association testing in the entire MADGC collection (1,008 Caucasians with one or more AIDs and 770 unaffected family controls) revealed association of a novel intronic insertion-deletion polymorphism with rheumatoid arthritis (RA) (odds ratio (OR)=2.48, P=0.041). Genotyping of the most common coding polymorphism, rs2230926, in the MADGC collection and additional control individuals revealed a significant association with Sjögren's syndrome (OR=3.38, P=0.038), Crohn's disease (OR=2.25, P=0.041), psoriasis (OR=0.037, P=0.036) and RA (OR=1.9, P=0.025). Finally, haplotype and additional testing of polymorphisms revealed that cases were enriched for 5' and 3' untranslated region variants (one-sided P-value=0.04), but not specifically for common (>2% minor allele frequency), rare, exonic, intronic, non-synonymous or synonymous variants.

SUBMITTER: Musone SL

PROVIDER: S-EPMC3152744 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Sequencing of TNFAIP3 and association of variants with multiple autoimmune diseases.

Musone S L SL Taylor K E KE Nititham J J Chu C C Poon A A Liao W W Lam E T ET Ma A A Kwok P-Y PY Criswell L A LA

Genes and immunity 20110217 3

The TNFAIP3 locus at 6q23, encoding A20, has been associated with multiple autoimmune diseases (AIDs). In this study, we sequence the coding portions of the gene to identify contributing causal polymorphisms that may explain some of the observed associations. A collection of 123 individuals from the Multiple Autoimmune Disease Genetics Consortium (MADGC) collection, each with multiple AIDs (mean=2.2 confirmed diagnoses), and 397 unrelated healthy controls were used for initial sequencing. A tota ...[more]

PMID: 21326317

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Project description:ObjectiveSubtypes of juvenile idiopathic arthritis (JIA) share phenotypic features with other autoimmune disorders. We investigated several genetic variants associated with rheumatoid arthritis (RA) and other autoimmune disorders for association with JIA to test the hypothesis that clinically distinct phenotypes share common genetic susceptibility factors.MethodsCases were 445 children with JIA, and controls were 643 healthy adults. Using the TaqMan assay, subjects were genotyped for 8 single-nucleotide polymorphisms in 7 loci including rs10499194 and rs6920220 in the TNFAIP3 locus, rs6679677 in the RSBN1 locus, rs17696736 in the C12orf30 locus, rs3761847 in the TRAF1/C5 locus, rs2104286 in the IL2RA locus, rs7574865 in the STAT4 locus, and rs2542151 in the PTPN2 locus. Alleles and genotypes were analyzed for association with JIA and JIA subtypes. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated.ResultsThe strongest associations with JIA risk or protection were observed for TNFAIP3 variants rs10499194 (OR 0.74 [95% CI 0.61-0.91], P < 0.004) and rs6920220 (OR 1.30 [95% CI 1.05-1.61], P = 0.015). We also observed associations between JIA and both STAT4 (OR 1.24 [95% CI 1.02-1.51], P = 0.029) and C12orf30 (OR 1.20 [95% CI 1.01-1.43], P = 0.041) variants. The PTPN2 variant rs2542151 deviated from Hardy-Weinberg equilibrium and was excluded from analyses. Variants in IL2RA, TRAF1/C5, and RSBN1 were not associated with JIA. After stratification by JIA subtype, the TNFAIP3 and C12orf30 variants were associated with oligoarticular JIA, while the STAT4 variant was associated primarily with polyarticular JIA.ConclusionWe have demonstrated associations between JIA and variants in the TNFAIP3, STAT4, and C12orf30 regions that have previously shown associations with other autoimmune diseases, including RA and systemic lupus erythematosus. Our results suggest that clinically distinct autoimmune phenotypes share common genetic susceptibility factors.

Project description:ImportanceKnowledge about the spectrum of diseases associated with hereditary cancer syndromes may improve disease diagnosis and management for patients and help to identify high-risk individuals.ObjectiveTo identify phenotypes associated with hereditary cancer genes through a phenome-wide association study.Design, setting, and participantsThis phenome-wide association study used health data from participants in 3 cohorts. The Electronic Medical Records and Genomics Sequencing (eMERGEseq) data set recruited predominantly healthy individuals from 10 US medical centers from July 16, 2016, through February 18, 2018, with a mean follow-up through electronic health records (EHRs) of 12.7 (7.4) years. The UK Biobank (UKB) cohort recruited participants from March 15, 2006, through August 1, 2010, with a mean (SD) follow-up of 12.4 (1.0) years. The Hereditary Cancer Registry (HCR) recruited patients undergoing clinical genetic testing at Vanderbilt University Medical Center from May 1, 2012, through December 31, 2019, with a mean (SD) follow-up through EHRs of 8.8 (6.5) years.ExposuresGermline variants in 23 hereditary cancer genes. Pathogenic and likely pathogenic variants for each gene were aggregated for association analyses.Main outcomes and measuresPhenotypes in the eMERGEseq and HCR cohorts were derived from the linked EHRs. Phenotypes in UKB were from multiple sources of health-related data.ResultsA total of 214 020 participants were identified, including 23 544 in eMERGEseq cohort (mean [SD] age, 47.8 [23.7] years; 12 611 women [53.6%]), 187 234 in the UKB cohort (mean [SD] age, 56.7 [8.1] years; 104 055 [55.6%] women), and 3242 in the HCR cohort (mean [SD] age, 52.5 [15.5] years; 2851 [87.9%] women). All 38 established gene-cancer associations were replicated, and 19 new associations were identified. These included the following 7 associations with neoplasms: CHEK2 with leukemia (odds ratio [OR], 3.81 [95% CI, 2.64-5.48]) and plasma cell neoplasms (OR, 3.12 [95% CI, 1.84-5.28]), ATM with gastric cancer (OR, 4.27 [95% CI, 2.35-7.44]) and pancreatic cancer (OR, 4.44 [95% CI, 2.66-7.40]), MUTYH (biallelic) with kidney cancer (OR, 32.28 [95% CI, 6.40-162.73]), MSH6 with bladder cancer (OR, 5.63 [95% CI, 2.75-11.49]), and APC with benign liver/intrahepatic bile duct tumors (OR, 52.01 [95% CI, 14.29-189.29]). The remaining 12 associations with nonneoplastic diseases included BRCA1/2 with ovarian cysts (OR, 3.15 [95% CI, 2.22-4.46] and 3.12 [95% CI, 2.36-4.12], respectively), MEN1 with acute pancreatitis (OR, 33.45 [95% CI, 9.25-121.02]), APC with gastritis and duodenitis (OR, 4.66 [95% CI, 2.61-8.33]), and PTEN with chronic gastritis (OR, 15.68 [95% CI, 6.01-40.92]).Conclusions and relevanceThe findings of this genetic association study analyzing the EHRs of 3 large cohorts suggest that these new phenotypes associated with hereditary cancer genes may facilitate early detection and better management of cancers. This study highlights the potential benefits of using EHR data in genomic medicine.

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Sequencing of TNFAIP3 and association of variants with multiple autoimmune diseases.

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Sequencing of TNFAIP3 and association of variants with multiple autoimmune diseases.

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