Biomedical subjects

Anne Hinks

Publications and source records attributed to Anne Hinks.

9 recordsLinked to original sources

PubMed2006

Investigation of genetic variation across the protein tyrosine phosphatase gene in patients with rheumatoid arthritis in the UK.

OBJECTIVE: To investigate single-nucleotide polymorphisms (SNPs) across the PTPN22 gene region in a UK cohort of patients with rheumatoid arthritis (RA), to look for evidence of disease associations independent of the well-characterised R620W variant (rs2476601). METHODS: 951 RA cases in the UK satisfying American Rheumatism Association (ARA) criteria and 448 population controls were genotyped for 11 SNPs across the PTPN22 gene region using the Sequenom MassArray MassEXTEND technology. Allele, genotype and estimated haplotype frequencies of cases and controls were compared. RESULTS: In addition to the R620W (rs2476601) SNP, three SNPs were associated with RA in this study. The sole haplotype on which the associated T allele of R620W occurred was associated with RA; no other haplotypes showed a significant difference in frequencies between RA cases and controls. CONCLUSION: In contrast with a study of American patients with RA no evidence of association with PTPN22 independent of the well-characterised R620W variant was found, suggesting that in these patients this variant alone explains the association with the PTPN22 gene.

Alleles↗

PubMed2006

Fine mapping of genes within the IDDM8 region in rheumatoid arthritis.

The IDDM8 region on chromosome 6q27, first identified as a susceptibility locus for type 1 diabetes, has previously been linked and associated with rheumatoid arthritis (RA). The region contains a number of potential candidate genes, including programmed cell death 2 (PDCD2), the proteosome subunit beta type 1 (PSMB1), delta-like ligand 1 (DLL-1) and TATA box-binding protein (TBP) amongst others. The aim of this study was to fine map the IDDM8 region on chromosome 6q27, focusing on the genes in the region, to identify polymorphisms that may contribute to susceptibility to RA and potentially to other autoimmune diseases. Validated single nucleotide polymorphisms (SNPs; n = 65) were selected from public databases from the 330 kb region of IDDM8. These were genotyped using Sequenom MassArray genotyping technology in two datasets; the test dataset comprised 180 RA cases and 180 controls. We tested 50 SNPs for association with RA and any significant associations were genotyped in a second dataset of 174 RA cases and 192 controls, and the datasets were combined before analysis. Association analysis was performed by chi-square test implemented in Stata software and linkage disequilibrium and haplotype analysis was performed using Helix tree version 4.1. There was initial weak evidence of association, with RA, of a number of SNPs around the loc154449 putative gene and within the KIAA1838 gene; however, these associations were not significant in the combined dataset. Our study has failed to detect evidence of association with any of the known genes mapping to the IDDM8 locus with RA.

Adult↗

PubMed2005

Association between the PTPN22 gene and rheumatoid arthritis and juvenile idiopathic arthritis in a UK population: further support that PTPN22 is an autoimmunity gene.

OBJECTIVE: The protein tyrosine phosphatase N22 (PTPN22) gene exhibits regulatory activities for both T cells and B cells. A missense single-nucleotide polymorphism (SNP) within this gene (rs2476601) has recently been associated with 4 autoimmune diseases: rheumatoid arthritis (RA), systemic lupus erythematosus, autoimmune thyroid disease, and type 1 diabetes mellitus, all of which are T cell-mediated and associated with the elaboration of autoantibody. The aim of this study was to investigate associations of the missense SNP of PTPN22 in a number of autoimmune diseases in the UK population, including RA, juvenile idiopathic arthritis (JIA), psoriasis, psoriatic arthritis (PsA), and multiple sclerosis (MS), some of which have not been examined previously. METHODS: The PTPN22 missense SNP was genotyped in 886 RA, 661 JIA, 279 psoriasis, 455 PsA, and 379 MS patients and in 595 healthy controls. Association with the PTPN22 SNP was analyzed by chi-square test as implemented in Stata software. RESULTS: There was a significant association between the PTPN22 SNP and RA (P = 1.8 x 10(-8)) and JIA (P = 0.0005). In contrast, no association with psoriasis, PsA, or MS was detected. CONCLUSION: We replicated the findings of a previous association with RA and identified a novel association with JIA. Together with previous data showing associations with other autoimmune diseases, our findings provide further evidence that the PTPN22 gene plays a role in the pathogenesis of a subgroup of autoimmune diseases.

Adult↗

PubMed2004

Whole-genome scan, in a complex disease, using 11,245 single-nucleotide polymorphisms: comparison with microsatellites.

Despite the theoretical evidence of the utility of single-nucleotide polymorphisms (SNPs) for linkage analysis, no whole-genome scans of a complex disease have yet been published to directly compare SNPs with microsatellites. Here, we describe a whole-genome screen of 157 families with multiple cases of rheumatoid arthritis (RA), performed using 11,245 genomewide SNPs. The results were compared with those from a 10-cM microsatellite scan in the same cohort. The SNP analysis detected HLA*DRB1, the major RA susceptibility locus (P=.00004), with a linkage interval of 31 cM, compared with a 50-cM linkage interval detected by the microsatellite scan. In addition, four loci were detected at a nominal significance level (P<.05) in the SNP linkage analysis; these were not observed in the microsatellite scan. We demonstrate that variation in information content was the main factor contributing to observed differences in the two scans, with the SNPs providing significantly higher information content than the microsatellites. Reducing the number of SNPs in the marker set to 3,300 (1-cM spacing) caused several loci to drop below nominal significance levels, suggesting that decreases in information content can have significant effects on linkage results. In contrast, differences in maps employed in the analysis, the low detectable rate of genotyping error, and the presence of moderate linkage disequilibrium between markers did not significantly affect the results. We have demonstrated the utility of a dense SNP map for performing linkage analysis in a late-age-at-onset disease, where DNA from parents is not always available. The high SNP density allows loci to be defined more precisely and provides a partial scaffold for association studies, substantially reducing the resource requirement for gene-mapping studies.

Arthritis, Rheumatoid↗

PubMed2004

Investigation of susceptibility loci identified in the UK rheumatoid arthritis whole-genome scan in a further series of 217 UK affected sibling pairs.

OBJECTIVE: A previous whole-genome scan (WGS) of 182 UK rheumatoid arthritis (RA) affected sibling pair (ASP) families suggested linkage to HLA and 11 other chromosome regions. Replication of such findings in an independent cohort can help to distinguish true linkages from false-positive linkages. Since RA is a heterogeneous disease, some loci may be linked only in subsets of patients. Thus, the aim of this study was to investigate in an additional set of RA ASP families linkage to regions showing deviation in expected allele-sharing ratios in the UK WGS and to perform subset analysis on the combined cohort. METHODS: Twenty loci were investigated for linkage in 217 Caucasian UK RA ASPs. Stratification analysis was performed on the combined cohort of 377 RA ASP families to account for sex, RA severity, and the shared epitope (SE). RESULTS: None of the regions of linkage identified in the initial WGS achieved statistical significance in the second cohort. In contrast, after stratification analysis, 14 regions showed nominal evidence of linkage (logarithm of odds score >0.8) in one or more subgroups. In particular, the strength of evidence for linkage to chromosome 16p was increased in subsets of ASPs with younger age at disease onset (LOD score 2.38) and for linkage to chromosome 6q in female-female ASPs (LOD score 2.31) and in ASPs in which both siblings had 2 copies of the SE (LOD score 3.03). CONCLUSION: These results support the evidence for heterogeneity of RA. This information will inform the future design of association-based investigations as the search for disease genes in the linked regions begins.

Age of Onset↗

PubMed2004

Haplotype analysis in simplex families and novel analytic approaches in a case-control cohort reveal no evidence of association of the CTLA-4 gene with rheumatoid arthritis.

OBJECTIVE: Cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) is a negative regulator of T cells and is, therefore, a strong candidate susceptibility gene for T cell-mediated autoimmune diseases. The association of CTLA-4 single-nucleotide polymorphisms (SNPs) with rheumatoid arthritis (RA) has been investigated previously, with inconsistent results. Recently, SNPs mapping to the gene (and not previously investigated in RA) have been associated with both type 1 diabetes mellitus and Graves' disease. The aim of this study was to investigate the association of the CTLA-4 polymorphism with RA. METHODS: Primer extension methods were used to genotype 5 haplotype-tagging SNPs (htSNPs) (-1722 T/C, -1661 A/G, -658 C/T, -319 C/T, and +49 A/G), and the TaqMan 5' allelic discrimination assay was used to genotype an additional 2 SNPs (CT60 and rs1863800) mapping to the CTLA-4 gene. Association to the 5 htSNPs was investigated using the transmission disequilibrium test in RA simplex families (n = 122). Allele frequencies for the htSNPs were also investigated in affected sibling pairs (n = 96) and unrelated controls (n = 173). For the SNPs CT60 and rs1863800, unrelated patients with RA (n = 759) were compared with controls (n = 755). RESULTS: No evidence for association to single markers or haplotypes of the 5 htSNPs was detected in either RA simplex families or the affected sibling-control cohort. Neither of the 2 SNPs recently associated with Graves' disease showed evidence for association in the unrelated patient-control cohort. CONCLUSION: No evidence for association of CTLA-4 with RA was detected using family or case-control methods.

Adult↗

PubMed2004

A functional haplotype of the PADI4 gene associated with rheumatoid arthritis in a Japanese population is not associated in a United Kingdom population.

OBJECTIVE: In the era of postgenomic research, linkage- and association-based strategies are beginning to reveal novel complex disease genes. Using such an approach, a functional haplotype of the peptidylarginine deiminase 4 gene (PADI4) has recently been identified as a gene conferring susceptibility to rheumatoid arthritis (RA) in a Japanese population. In the present study, we investigated the association of single-nucleotide polymorphisms (SNPs) in the PADI4 gene with RA in a UK population. METHODS: Association with 4 exonic SNPs (padi4_89*G/A, padi4_90*T/C, padi4_92*G/C, and padi4_104*T/C), mapping to the PADI4 gene and defining a haplotype previously reported to be associated with RA, was investigated. Genotyping was performed using 5' allelic discrimination assays. Estimated haplotypes were generated using the expectation-maximization algorithm, and frequencies of the SNPs and haplotypes were compared between unrelated Caucasian RA patients from the UK (n = 839) and population controls (n = 481). RESULTS: Allele frequencies for the 4 SNPs in the UK population were similar to those reported in the Japanese control population, but none of these was associated with RA. As in the Japanese population, the SNPs in the UK population defined 2 major haplotypes, but neither was associated with RA (P = 0.79). CONCLUSION: A PADI4 susceptibility haplotype associated with RA in a Japanese population is not associated with RA in a UK population. Other genes involved in the citrullinating pathway remain strong candidate RA-susceptibility genes and require further investigation.

Adult↗

PubMed2004

Evidence for a novel rheumatoid arthritis susceptibility locus on chromosome 6p.

OBJECTIVE: To investigate whether the large linkage peak on chromosome 6p harbors rheumatoid arthritis (RA) susceptibility loci in addition to the well-characterized HLA-DRB1 gene. METHODS: DNA samples obtained from 377 UK RA affected sibling pair (ASP) families, comprising test (181 ASPs) and replication (196 ASPs) cohorts, were used for linkage analysis. Three hundred eighty-four patients with RA derived from a subset of 192 ASPs were compared with a panel of 288 unrelated healthy controls for association studies. Samples were genotyped for 35 microsatellites and 25 single-nucleotide polymorphisms (SNPs). RESULTS: In the test cohort, the maximum logarithm of odds (LOD) score was obtained over D6S1260 (LOD 7.1). Evidence for linkage to the telomeric portion of the peak was increased in subsets of ASPs in which both individuals had erosive disease or both carried 2 copies of the shared epitope. HLA-A, HLA-DRB1, and 8 additional markers showed evidence of linkage in the presence of association with RA (using the extended transmission disequilibrium test [ETDT]). The positive ETDT result for 2 adjacent markers (D6S1665 and 210901-4) mapping to the telomeric end of the linked region ( approximately 11 Mb from DRB1) was replicated (for D6S1665) in the second cohort of ASPs. Haplotypic overtransmission of pairwise combinations between D6S1665*7 and 210901-4*4 was identified through the TDTPhase program. Multipoint conditional analysis showed this effect to be independent of HLA-DRB1. SNP-based association studies of the region identified a 4-marker haplotype in the DEK gene that was significantly associated with RA (P = 0.009). CONCLUSION: Evidence has been presented for an RA susceptibility locus mapping under the linkage peak on 6p, 11 Mb telomeric of HLA-DRB1. Preliminary association data implicate the gene DEK.

Arthritis, Rheumatoid↗

PubMed2003

Linkage analysis of cross-sectional and longitudinally derived phenotypic measures to identify loci influencing blood pressure.

BACKGROUND: The design of appropriate strategies to analyze and interpret linkage results for complex human diseases constitutes a challenge. Parameters such as power, definition of phenotype, and replicability have to be taken into account in order to reach meaningful conclusions. Incorporating data on repeated phenotypic measures may increase the power to detect linkage but requires sophisticated analysis methods. Using the simulated Genetic Analysis Workshop 13 data set, we have estimated a variety of systolic blood pressure (SBP) phenotypic measures and examined their performance with respect to consistency among replicates and to true and false positive linkage signals. RESULTS: The whole-genome scan conducted on a dichotomous hypertension phenotype indicated the involvement of few true loci with nominal significance and gave rise to a high rate of false positives. Analysis of a cross-sectional quantitative SBP measure performed better, although genome-wide significance was again not reached. Additional phenotypic measures were derived from the longitudinal data using random effects modelling for censored data with varying levels of covariate adjustment. These models provided evidence for significant linkage to most genes influencing SBP and produced few false positive results. Overall, replicability of results was poor for loci, representing weak effects. CONCLUSION: Longitudinally derived phenotypes performed better than cross-sectional measures in linkage analyses. Bearing in mind the sample design and size of these data, linkage results that fail to replicate should not be dismissed; instead, different lines of evidence derived from complementary analysis methods should be combined to prioritize follow up.

Adult Children↗