help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2005-1634
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Simmonds, M. J.
Right arrow Articles by Gough, S. C. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Simmonds, M. J.
Right arrow Articles by Gough, S. C. L.
Related Collections
Right arrow Thyroid
The Journal of Clinical Endocrinology & Metabolism Vol. 91, No. 3 1056-1061
Copyright © 2006 by The Endocrine Society

Contribution of Single Nucleotide Polymorphisms within FCRL3 and MAP3K7IP2 to the Pathogenesis of Graves’ Disease

M. J. Simmonds1, J. M. Heward1, J. Carr-Smith, H. Foxall, J. A. Franklyn and S. C. L. Gough

Department of Medicine, Division of Medical Sciences, Institute of Biomedical Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom

Address all correspondence and requests for reprints to: Professor S. C. L. Gough, Department of Medicine, Division of Medical Sciences, Institute of Biomedical Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom. E-mail: s.c.gough{at}bham.ac.uk.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Context: Recently six DNA variants, two of which (M55V and 001Msp) are present in nuclear factor-{kappa}B inhibitors SUMO-4 and MAP3K7IP2 and four of which (fcrl3_3, fcrl3_4, fcrl3_5, and fcrl3_6) modulate nuclear factor-{kappa}B binding and production of the B cell surface molecule FCRL3, have been reported to be associated with a number of autoimmune diseases.

Objective: The aim of this study was to investigate the association of these polymorphisms with disease in a large UK Caucasian Graves’ disease (GD) data set.

Design: The study was a case-control association study of six polymorphisms.

Setting: The study was conducted at a UK academic department of medicine.

Patients or Participants: Study population included 1056 GD patients and 864 controls.

Interventions: There were no interventions.

Main Outcome Measures: Tests for association with disease were measured.

Results: No association with disease was found for the M55V single-nucleotide polymorphism (SNP). Association was, however, found between GD and the 001Msp SNP [odds ratio (OR) 1.19 (95% confidence interval [CI]) 1.03–1.37], fcrl3_3 SNP [OR 1.17 (95% CI 1.02–1.34)], fcrl3_5 SNP [OR 1.18 (95% CI 1.04–1.35)], and fcrl3_6 SNP [OR 1.20 (95% CI 1.05–1.36)]. The 001Msp SNP was found to be associated with the presence of TSH receptor autoantibodies [OR 1.75 (95% CI 1.09–2.79)].

Conclusion: Functional evidence suggests that the 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 SNPs could cause changes in B cell signaling and activation pathways that could account for their association with GD. Further replication in independent data sets and fine mapping of the surrounding gene regions are needed to confirm the magnitude of the effect and location of the etiological variant(s) present within these gene regions.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
THE GENETIC CONTRIBUTION to autoimmune disease (AID) has been well documented with three susceptibility loci, CTLA-4 (1), the human leukocyte antigen (HLA) class II region (2, 3), and PTPN22, which encodes LYP (4, 5), consistently associated with numerous diseases including Graves’ disease (GD), type 1 diabetes (T1D), and rheumatoid arthritis (RA). Gene products from all three loci are likely to be involved in antigen presentation and T cell recognition/activation, suggesting a key role for this pathway in AID pathogenesis.

The nuclear factor-{kappa}B (NF-{kappa}B) signaling pathway may also be involved in the development of disease. This pathway not only regulates many apoptotic and cell proliferation molecules but also plays a key role in both the innate immune response, through up-regulation of antiinflammatory factors, antimicrobial peptides, and components of the complement system, and in the adaptive response, by controlling the expression of components of the antigen presentation and T and B cell recognition pathways (6). Due to the pivotal role played by NF-{kappa}B in the immune response, much interest has centered around this molecule in AID and its potential use as a therapeutic target (7).

Fine mapping of the IDDM5 region of linkage to T1D demonstrated evidence for association of two single-nucleotide polymorphism (SNPs) (001Msp and M55V) within inhibitors of the NF-{kappa}B signaling pathway, MAP3K7IP2 (also known as TAB2) and SUMO-4, respectively (8, 9). However, studies of T1D patients of differing ethnic origin have produced conflicting results, with different allelic associations being observed that cannot be attributed to ethnicity alone, leaving the role of the these loci in some doubt (8, 9, 10, 11, 12, 13, 14). In addition, Kochi et al. (15) recently narrowed down association on chromosome 1q23 in Japanese RA patients to within two blocks of linkage disequilibrium (LD) encompassing the five known Fc receptor-like (FCRL) genes. This association was found to be attributed to four SNPs within the FCRL3 gene (fcrl3_3, fcrl3_4, fcrl3_5, and fcrl3_6). Of these four SNPs, only the fcrl3_3 C-T SNP, present at position –169 within the promoter, was found to affect NF-{kappa}B binding to FCRL3 and therefore FCRL3 expression on B cells (15). Association between the fcrl3_3 SNP was also detected within a Japanese GD data set (15). The aim of this study was to attempt to replicate the association of two SNPs within MAP3K7IP2 and SUMO-4 and four SNPs within FCRL3 that play a key role in NF-{kappa}B signaling pathways and two of which have been shown to have functional roles, in a UK Caucasian GD data set of sufficient size to have greater than 99% power to exclude an effect of odds ratio (OR) of 1.5 with P = 0.05.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects

Unrelated white Caucasian patients of UK origin with GD were recruited from large thyroid clinics in Birmingham, Walsall, Bournemouth, and Exeter, United Kingdom, as previously described (16). Patients were defined as having GD by the presence of biochemical hyperthyroidism together with either the presence of dysthyroid eye disease or two of the following criteria: diffuse goiter, a significant titer of microsomal, thyroglobulin, or TSH receptor (TSHR) autoantibodies (16). Microsomal and thyroglobulin antibodies were measured by gelatin particle agglutination (SERODIA_ATG, Fujirebio, Inc., Tokyo, Japan), and a titer of 1:100 was considered significant for both assays. TSHR autoantibody status was determined by a radioactive inhibition method (RSR Ltd., Cardiff, UK). Serum free T4 concentrations were measured with the Bayer ACS 180 and Bayer Advia Centaur system (Newbury, Berkshire, UK; normal range 9–20 pmol/liter). Matched control subjects with no family history of AID were bled at several sites: Blood Transfusion Services (Birmingham and Oxford, UK), Birmingham Heartlands Hospital, and the Queen Elizabeth Hospital (Birmingham, UK).

In total, DNA was obtained from 1056 GD patients and 864 control subjects for the population-based case-control study. All ethnically and gender-matched control subjects had tests of thyroid function and autoantibody status, and any showing evidence of subclinical autoimmune thyroid disease were removed from the study before genotyping. All subjects gave informed written consent and the project was approved by the local research ethics committee.

Genotyping: PCR/restriction fragment length polymorphism

DNA was extracted from 10 ml whole blood using the Nucleon Bacc III kit (Tepnel Life Sciences, Manchester, UK). Genotyping of the 001Msp SNP was performed using 20 ng genomic DNA in a 25-µl reaction containing 2.5 mM MgCl2, 50 ng/µl each primer (Sigma Genosys, Haverhill, UK), and 1 U Taq polymerase (Bioline, London, UK) giving rise to a 117-bp product. Amplification was performed in an Tetrad (MJ Research, Waltham, MA) for 35 cycles at an annealing temperature of 43 C using primers: forward, 5'-CCACCTCTTTAACTAA-3', and reverse, 5'-GTCAGCAACAGAACTCCG-3'. A mismatch in the reverse primer creates a restriction site for MspI in the presence of the C allele. Digestion of 5 µl of PCR product with 5 U of MspI enzyme at 37 C for 2 h resulted in an uncut band of 117 bp in the presence of the T allele and two bands (99 and 18 bp) in the presence of the C allele. Fragments were resolved on a 3% agarose gel and genotypes assigned accordingly.

Genotyping of the M55V SNP was performed by methods previously published (17). Briefly, 100 ng genomic DNA were amplified in a 25-µl reaction containing 2 mM MgCl2, 50 ng/µl each primer (Sigma Genosys), and 1 U Taq polymerase (Bioline), giving rise to a 185-bp product. Amplification was performed in an MJ Research Tetrad for 30 cycles at an annealing temperature of 60 C using primers: forward, 5'-ATTGTGAACCACGGGGATTGTTA-3', and reverse, 5'-CAGCGTTCTGGAGTAAAGAAG-3'. A mismatch at the 3' end of the forward primer creates a restriction site for MseI in the presence of the A allele. Digestion of 5 µl of PCR product with 5 U of MseI enzyme at 37 C overnight resulted in an uncut band of 185 bp in the presence of the G allele and two bands (162 and 23 bp) in the presence of the A allele. Fragments were resolved on a 3.8% agarose gel and genotypes assigned accordingly.

Genotyping of the CTLA-4 CT60 SNP, HLA DRB1 exon 2 position ß74, and PTPN22 1858 C/T SNP was as reported previously (1, 3, 4).

Genotyping: allele discrimination

The fcrl3_3 SNP (rs7528684), fcrl3_4 SNP (rs11264799), fcrl3_5 SNP (rs945635), and fcrl3_6 SNP (rs3761959) assays were purchased from Applied Biosystems (Foster City, CA) and were genotyped on an ABI7900 HT using Taqman (Applied Biosystems) genotyping technologies as previously described (15).

Statistical and LD analysis

Analysis of case-control data was performed using the {chi}2 test within the MINITAB statistical package (release 14.1, 1972–2003, Minitab Inc., State College, PA), and P < 0.05 was considered significant. ORs with 95% confidence intervals were calculated by the method of Woolf with Haldane’s modification for small numbers, where appropriate (18). Power and Hardy Weinberg equilibrium calculations were performed using Excel (Microsoft Office Excel, Redmond, CA). LD was analyzed using the pairwise LD measure D' and haplotype blocks constructed with the use of the computer program Haploview (19), using the default algorithm for generating haplotype blocks based on methods established by Gabriel et al. (20). A D' prime value of 1 = complete LD, D' value greater than 0.8 = strong LD, D' value 0.2–0.8 = incomplete LD, and D' less than 0.2 = negligible LD (21).


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Genotyping results

No differences in allele or genotype frequencies of the M55V SNP were observed between cases with GD and controls in our cohort with more than 99% power to exclude an effect if present at OR of 1.5 and P < 0.05 (Table 1Go). The 001Msp SNP was associated with GD, producing an OR of 1.19 [95% confidence interval (CI) 1.03–1.37] (Table 1Go). Association of the fcrl3_5 and fcrl3_6 SNPs was detected, producing OR of 1.18 [95% CI 1.04–1.35] and OR of 1.20 [95% CI 1.05–1.36] (Table 1Go), respectively. Association of the fcrl3_3 SNP was also detected (P = 0.024), producing an OR of 1.17 [95% CI 1.02–1.34] (Table 1Go), although only a trend toward significance could be detected for the genotypes (P = 0.068). A trend toward significance was seen for the fcrl3_4 SNP (P = 0.059); however, this was not replicated within the genotypes (P = 0.132). All the cases and controls were in Hardy Weinberg equilibrium.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Allele and genotype frequencies of the M55V, 001Msp, fcrl3_3, fcrl3_4, fcrl3_5, and fcrl3_6 SNPs in a case control cohort of patients with GD

 
Clinical phenotype correlations

Association of 001Msp was also found in the TSHR autoantibody-positive subgroup, compared with the TSHR autoantibody-negative subgroup (Table 2Go) producing an OR of 1.75 [95% CI 1.09–2.79]. No association among the fcrl3_3, fcrl3_5, and fcrl3_6 SNPs and TSHR autoantibody status was detected (Table 2Go). No correlation among the 001Msp, fcrl3_3, fcrl3–5, and fcrl3_6 SNPs and either microsomal or thyroglobulin autoantibody status was detected, and when these SNPs were compared with autoantibody status (in which presence of TSHR, thyroglobulin, or microsomal autoantibodies was considered as indicative of autoantibody involvement), no association was detected (data not shown). When the 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 SNPs were also correlated with severity of ophthalmopathy as determined by the NOSPECS (no signs or symptoms; only signs or symptoms limited to lid retraction; soft tissue involvement; proptosis; extraoccular muscle involvement; corneal involvement; sight loss) score (NOSPECS < 2 vs. NOSPECS ≥ 2), age of onset of GD (≤30 yr, representing early onset of GD vs. ≥31 yr, representing the normal age of onset for GD), biochemical severity as indicated by serum free T4 concentration at time of presentation before treatment was undertaken (serum free T4 concentrations of <40 pmol/liter or ≥40 pmol/liter), and the presence of goiter, no association was detected (data not shown).


View this table:
[in this window]
[in a new window]
 
TABLE 2. Correlation of the 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 SNPs with TSHR autoantibody status in a cohort of UK Caucasian patients with GD

 
Interaction studies with known susceptibility loci

Because the fcrl3_3 SNP was positively correlated with HLA-DRB1 status in the Japanese population (15), a preliminary interaction analysis was performed to determine whether fcrl3_3, fcrl3_5, fcrl3_6, and 001Msp interacted with the preestablished association of HLA-DRB1 in UK subjects with GD, with statistical interaction between the presence or absence of arginine at position ß74, the most associated SNP within the HLA-DRB1 exon 2-encoded domain being tested (with the presence of arginine at position ß74 found to be highly associated, P = 1.2 x 10–12, with GD within this data set) (3). Interaction was also investigated with the two other established susceptibility loci, the most strongly associated SNP (CT60 G-A SNP) within CTLA-4 (1) and the PTPN22 1858 C-T SNP (4, 17). The distribution of the fcrl3_3, fcrl3_5, fcrl3_6, and 001Msp SNPs was tested within the GD patients with the associated allele (in which, for the purpose of this analysis, both homozygous and heterozygous subjects for the associated allele of interest were classed as associated) vs. the GD patients without the associated allele (in which only those homozygous for not having the GD-associated allele were classed as nonassociated). No interactions could be detected among the fcrl3_3, fcrl3_5, fcrl3_6, and 001Msp SNPs and the HLA-DRB1 exon 2 ß74 and PTPN22 1858 SNPs (P = 0.996–0.207) (Table 3Go). A trend toward significant interaction between the fcrl3_3 and fcrl3_6 SNPs and the CTLA-4 CT60 SNP (P = 0.061 and P = 0.056, respectively) was detected (Table 3Go); however, this was not replicated within the alleles (P = 0.526 and P = 0.132, respectively; data not shown). No interactions between the fcrl3_5 and 001Msp SNPs and the CTLA-4 CT60 SNP were detected (P = 0.784–0.273) (Table 3Go).


View this table:
[in this window]
[in a new window]
 
TABLE 3. Preliminary interaction analysis between the 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 SNPs with the three known genetic contributory factors to GD, CTLA-4 CT60 SNP, HLA-DRB1 exon 2 position ß74 and LYP 1858 SNP

 
Pairwise LD between FCRL3 SNPs

LD was assessed among all four FCRL3 SNPs (including the fcrl3_4 SNP that showed only a trend toward significance) genotyped within our data set. Haplotype analysis [using the Gabriel et al. (20) method to define haplotype block structure] demonstrated evidence of one LD block within FCRL3 composed of the fcrl3_3, fcrl3_4, fcrl3_5, and fcrl3_6 SNPs (D' > 0.99). This is in contrast to findings in the Japanese population, in which fcrl3_3, fcrl3_5, and fcrl3_6 were shown to be in strong LD, with the fcrl3_4 SNP showing weaker LD (15).


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
This study investigated the association of two SNPs within the NF-{kappa}B inhibitors, MAP3K7IP2 and SUMO-4, and four SNPs that affects NF-{kappa}B promoter binding in the recently discovered FCRL3 gene with GD. No association of the M55V SNP was detected, despite the use of a data set of sufficient power to detect the previously reported effect. Our negative finding supports results from a smaller independent UK Caucasian data set of subjects with GD that also failed to detect association with the M55V SNP (22). In the present study, however, association was detected among the 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 SNPs and GD, albeit at a lower level than originally reported. When correlated with GD phenotype, 001Msp was also found to be associated with the presence of TSHR autoantibodies in those with GD.

The identification of susceptibility loci for common diseases, such as GD, is proving to be a much greater task than many researchers originally predicted. With the increasing realization that individual loci are likely to confer ORs for the development of disease of significantly less than 1.5, the need for DNA resources with many hundreds and indeed thousands of subjects is now accepted. In the current study, it was estimated that sufficient power was available with 1919 subjects to detect the previously reported effects of the susceptibility loci under investigation. The ORs detected for 001Msp, fcrl3_3, fcrl3_5, and fcrl3_6 were, however, significantly less than expected, suggesting that either these results represent a false positive or that the contribution of these loci to the development of disease is much less than the earlier studies indicated. It is well recognized that a marked publication bias toward positive association studies does exist, in which the observed size of the genetic effect in the first positive report is biased upward (23), making replication in subsequent studies a more difficult task. Whereas too much emphasis has previously been placed on marginally significant results, which should be attributed to chance alone, a small effect producing an OR of less than 1.2 cannot be excluded in the current study despite the size of the data set used. In particular, the replication of association of three SNPs within FCRL3, all at a much lower level than previously reported (15), suggests that this study has detected a small effect for this gene with GD.

Because NF-{kappa}B is a stimulator of so many immunological genes, regulation of its activity is paramount. NF-{kappa}B activity is regulated through inhibitor of NF-{kappa}B (I{kappa}B) binding, thereby sequestering it in the cytoplasm (6, 24). In response to extracellular stimuli, I{kappa}B kinase (IKK) is activated, rapidly targeting I{kappa}Bs for polyubiquitination and degradation, leading to NF-{kappa}B release (6, 24). Once released, NF-{kappa}B translocates into the nucleus and binds to DNA and along with accessory molecules leads to transcription of specific genes (6). MAP3K7IP2 is involved in the IKK signaling cascade in the IL-1 signaling pathway. When IL-1 binds to its receptor, MyD88 and IL-1 receptor-associated kinases are recruited to the receptor. The IL-1 receptor-associated kinase then dissociates from the receptor and interacts with TNF receptor-associated factor-6. Another molecule, TAK1, also interacts with TNF-receptor-associated factor 6 in a process that is facilitated by MAP3K7IP2, which enables the IKK cascade to occur, resulting in the release of NF-{kappa}B (25). MAP3K7IP2 also plays a similar role in the TNF{alpha} signaling pathway (26, 27). Due to the important role of IL-1 and TNF{alpha} signaling pathways in B cell activation and replication, dysregulation of NF-{kappa}B could lead to increased TNF{alpha} and IL-1 production, which as potent B cell activators, could lead to greater B cell activation (6). Association of the 001Msp SNP with TSHR autoantibody status in GD could be explained by the ability of this polymorphism, or one in LD with it, to induce changes in MAP3K7IP2 function within the TNF{alpha} and IL-1 activation pathways leading to B cell dysregulation and increased autoantibody production.

Although the FCRL3 molecule is not involved in NF-{kappa}B release, its gene is transcribed by NF-{kappa}B. The susceptible C allele of the fcrl3_3 SNP has been shown to alter FCRL3 expression, through NF-{kappa}B promoter binding, leading to higher FCRL3 expression on B cells (15). The FCRL3 molecules contain both immunotyrosine activation motifs and immunotyrosine inhibitory motifs, enabling them to both activate and inhibit signaling pathways and are believed to be involved in regulating cellular signaling thresholds (28, 29). It has been suggested that increased FCRL3 expression could lead to dysregulated B cell activation, which could contribute to AID onset. No functional role has to date been determined for the fcrl3_5 or fcrl3_6 SNPs.

Both SNP frequency and LD block structure have been shown to vary between Oriental and European populations. Differences detected between the original study and our own could be due to differences between the Japanese and UK populations. This study highlights these differences by showing that within the UK Caucasian population, fcrl3_3, fcrl3_4, fcrl3_5, and fcrl3_6 were all in strong LD, whereas in the Japanese population, fcrl3_4 showed weaker LD with the remaining three SNPs. Also, we found the G allele of the fcrl3_5 SNP associated with GD within our population, whereas Kochi et al. (15) reported association of the C allele of fcrl3_5 with RA in the Japanese population. Differences in association could also be due to differences between RA and GD. Although both diseases have been shown to share genetic susceptibility loci, including the HLA class II region, the associations at these regions can vary between diseases. For example, at the HLA class II locus, in RA the shared epitope region encompassing DRB1 exon 2 amino acid positions ß70-ß74 has been associated with disease (2), whereas in GD a series of nine DRB1 exon 2-encoded amino acids, including ß71 and ß74 present within the shared epitope region, have been associated with GD (3). This could help to explain the differences in association of the fcrl3_3 SNP with HLA-DRB1 status in the Japanese and UK Caucasian populations.

Although association among the fcrl3_3, fcrl3_5, fcrl3_6, and 001Msp SNPs with GD has been found, it is not possible to conclude that these loci represent primary etiological variants. Although the fcrl3_3 SNP has been shown to have functional consequences on NF-{kappa}B binding, the M55V SUMO-4 SNP was also shown to have a functional role in NF-{kappa}B inhibition (9), and the results generated here and previously (22) have shown that this SNP does not contribute to GD in the UK Caucasian population. This highlights the importance of determining the etiological variant present within a region of association before functional analysis is undertaken. Within the IDDM5 region, containing the 001Msp SNP, only 18 SNPs encompassing 40 kb were originally investigated (9). Because LD can span much greater distances than this, denser sequence coverage across this region is needed. Although 724 SNPs were used to cover the Fc receptor region on chromosome 1q23 and LD blocks defined (15), because both allele frequency and LD block structure vary among differing ethnic groups, a similar SNP coverage may be needed in UK Caucasians to define the levels of LD and association(s) across this region.

In conclusion, functional SNPs involved in NF-{kappa}B signaling may contribute to the development of GD. Future genetic and immunological studies will determine the role of this important pathway.


    Acknowledgments
 
We thank the Wellcome Trust for supporting this work.


    Footnotes
 
This work was supported by the Wellcome Trust.

First Published Online December 29, 2005

1 M.J.S. and J.M.H. contributed equally to this work. Back

Abbreviations: AID, Autoimmune disease; CI, confidence interval; FCRL, Fc receptor-like; GD, Graves’ disease; HLA, human leukocyte antigen; I{kappa}B, inhibitor of NF-{kappa}B; IKK, I{kappa}B kinase; LD, linkage disequilibrium; NF-{kappa}B, nuclear factor-{kappa}B; OR, odds ratio; RA, rheumatoid arthritis; SNP, single-nucleotide polymorphism; T1D, type 1 diabetes; TSHR, TSH receptor.

Received July 22, 2005.

Accepted December 15, 2005.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Ueda H, Howson JM, Esposito L, Heward J, Snook H, Chamberlain G, Rainbow DB, Hunter KM, Smith AN, Di Genova G, Herr MH, Dahlman I, Payne F, Smyth D, Lowe C, Twells RC, Howlett S, Healy B, Nutland S, Rance HE, Everett V, Smink LJ, Lam AC, Cordell HJ, Walker NM, et al2003 Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease. Nature 423:506–511
  2. Simmonds MJ, Gough SC 2004 Genetic insights into disease mechanisms of autoimmunity. Br Med Bull 71:93–113
  3. Simmonds MJ, Howson JM, Heward JM, Cordell HJ, Foxall H, Carr-Smith J, Gibson SM, Walker N, Tomer Y, Franklyn JA, Todd JA, Gough SC 2005 Regression mapping of association between the human leukocyte antigen region and Graves disease. Am J Hum Genet 76:157–163[CrossRef][Medline]
  4. Smyth D, Cooper JD, Collins JE, Heward JM, Franklyn JA, Howson JM, Vella A, Nutland S, Rance HE, Maier L, Barratt BJ, Guja C, Ionescu-Tirgoviste C, Savage DA, Dunger DB, Widmer B, Strachan DP, Ring SM, Walker N, Clayton DG, Twells RC, Gough SC, Todd JA 2004 Replication of an association between the lymphoid tyrosine phosphatase locus (LYP/PTPN22) with type 1 diabetes, and evidence for its role as a general autoimmunity locus. Diabetes 53:3020–3023[Abstract/Free Full Text]
  5. Begovich AB, Caillier SJ, Alexander HC, Penko JM, Hauser SL, Barcellos LF, Oksenberg JR 2005 The R620W polymorphism of the protein tyrosine phosphatase PTPN22 is not associated with multiple sclerosis. Am J Hum Genet 76:1847
  6. Li ZW, Rickert RC, Karin M 2004 Genetic dissection of antigen receptor induced-NF-{kappa}B activation. Mol Immunol 41:701–714[CrossRef][Medline]
  7. Bacher S, Schmitz ML 2004 The NF-{kappa}B pathway as a potential target for autoimmune disease therapy. Curr Pharm Des 10:2827–2837[CrossRef][Medline]
  8. Guo D, Li M, Zhang Y, Yang P, Eckenrode S, Hopkins D, Zheng W, Purohit S, Podolsky RH, Muir A, Wang J, Dong Z, Brusko T, Atkinson M, Pozzilli P, Zeidler A, Raffel LJ, Jacob CO, Park Y, Serrano-Rios M, Larrad MT, Zhang Z, Garchon HJ, Bach JF, Rotter JI, She JX, Wang CY 2004 A functional variant of SUMO4, a new I{kappa}B{alpha} modifier, is associated with type 1 diabetes. Nat Genet 36:837–841[CrossRef][Medline]
  9. Bohren KM, Nadkarni V, Song JH, Gabbay KH, Owerbach D 2004 A M55V polymorphism in a novel SUMO gene (SUMO-4) differentially activates heat shock transcription factors and is associated with susceptibility to type I diabetes mellitus. J Biol Chem 279:27233–27238[Abstract/Free Full Text]
  10. Owerbach D, Pina L, Gabbay KH 2004 A 212-kb region on chromosome 6q25 containing the TAB2 gene is associated with susceptibility to type 1 diabetes. Diabetes 53:1890–1893[Abstract/Free Full Text]
  11. Smyth DJ, Howson JM, Lowe CE, Walker NM, Lam AC, Nutland S, Hutchings J, Tuomilehto-Wolf E, Tuomilehto J, Guja C, Ionescu-Tirgoviste C, Undlien DE, Ronningen KS, Savage D, Dunger DB, Twells RC, McArdle WL, Strachan DP, Todd JA 2005 Assessing the validity of the association between the SUMO4 M55V variant and risk of type 1 diabetes. Nat Genet 37:110–111[CrossRef][Medline]
  12. Qu H, Bharaj B, Liu XQ, Curtis JA, Newhook LA, Paterson AD, Hudson TJ, Polychronakos C 2005 Assessing the validity of the association between the SUMO4 M55V variant and risk of type 1 diabetes. Nat Genet 37:111–112[CrossRef][Medline]
  13. Park Y, Park S, Kang J, Yang S, Kim D 2005 Assessing the validity of the association between the SUMO4 M55V variant and risk of type 1 diabetes. Nat Genet 37:112; author reply 112–113
  14. Kosoy R, Concannon P 2005 Functional variants in SUMO4, TAB2, and NF{kappa}B and the risk of type 1 diabetes. Genes Immunol 6:231–235
  15. Kochi Y, Yamada R, Suzuki A, Harley JB, Shirasawa S, Sawada T, Bae SC, Tokuhiro S, Chang X, Sekine A, Takahashi A, Tsunoda T, Ohnishi Y, Kaufman KM, Kang CP, Kang C, Otsubo S, Yumura W, Mimori A, Koike T, Nakamura Y, Sasazuki T, Yamamoto K 2005 A functional variant in FCRL3, encoding Fc receptor-like 3, is associated with rheumatoid arthritis and several autoimmunities. Nat Genet 37:478–485[CrossRef][Medline]
  16. Heward JM, Allahabadia A, Daykin J, Carr-Smith J, Daly A, Armitage M, Dodson PM, Sheppard MC, Barnett AH, Franklyn JA, Gough SC 1998 Linkage disequilibrium between the human leukocyte antigen class II region of the major histocompatibility complex and Graves’ disease: replication using a population case control and family-based study. J Clin Endocrinol Metab 83:3394–3397[Abstract/Free Full Text]
  17. Velaga MR, Wilson V, Jennings CE, Owen CJ, Herington S, Donaldson PT, Ball SG, James RA, Quinton R, Perros P, Pearce SH 2004 The codon 620 tryptophan allele of the lymphoid tyrosine phosphatase (LYP) gene is a major determinant of Graves’ disease. J Clin Endocrinol Metab 89:5862–5865[Abstract/Free Full Text]
  18. Mathews JD 1984 Statistical aspects of immunogenetic association with disease. In: Simons MJ, Tait BD, eds. Detection of immune-associated genetic markers of human disease. London: Churchill Livingstone; 106–136
  19. Barrett JC, Fry B, Maller J, Daly MJ 2005 Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263–265[Abstract/Free Full Text]
  20. Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, Higgins J, DeFelice M, Lochner A, Faggart M, Liu-Cordero SN, Rotimi C, Adeyemo A, Cooper R, Ward R, Lander ES, Daly MJ, Altshuler D 2002 The structure of haplotype blocks in the human genome. Science 296:2225–2229[Abstract/Free Full Text]
  21. Ardlie KG, Kruglyak L, Seielstad M 2002 Patterns of linkage disequilibrium in the human genome. Nat Rev Genet 3:299–309[CrossRef][Medline]
  22. Jennings CE, Owen CJ, Wilson V, Pearce SH 2005 No association of the codon 55 methionine to valine polymorphism in the SUMO4 gene with Graves’ disease. Clin Endocrinol (Oxf) 62:362–365[CrossRef][Medline]
  23. Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN 2003 Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet 33:177–182[CrossRef][Medline]
  24. Li Q, Verma IM 2002 NF-{kappa}B regulation in the immune system. Nat Rev Immunol 2:725–734[CrossRef][Medline]
  25. Takaesu G, Kishida S, Hiyama A, Yamaguchi K, Shibuya H, Irie K, Ninomiya-Tsuji J, Matsumoto K 2000 TAB2, a novel adaptor protein, mediates activation of TAK1 MAPKKK by linking TAK1 to TRAF6 in the IL-1 signal transduction pathway. Mol Cell 5:649–658[CrossRef][Medline]
  26. Kanayama A, Seth RB, Sun L, Ea CK, Hong M, Shaito A, Chiu YH, Deng L, Chen ZJ 2004 TAB2 and TAB3 activate the NF-{kappa}B pathway through binding to polyubiquitin chains. Mol Cell 15:535–548[CrossRef][Medline]
  27. Ravid T, Hochstrasser M 2004 NF-{kappa}B signaling: flipping the switch with polyubiquitin chains. Curr Biol 14:R898–R900
  28. Davis RS, Dennis Jr G, Odom MR, Gibson AW, Kimberly RP, Burrows PD, Cooper MD 2002 Fc receptor homologs: newest members of a remarkably diverse Fc receptor gene family. Immunol Rev 190:123–136[CrossRef][Medline]
  29. Davis RS, Wang YH, Kubagawa H, Cooper MD 2001 Identification of a family of Fc receptor homologs with preferential B cell expression. Proc Natl Acad Sci USA 98:9772–9777[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
J. Immunol.Home page
Y. Kochi, K. Myouzen, R. Yamada, A. Suzuki, T. Kurosaki, Y. Nakamura, and K. Yamamoto
FCRL3, an Autoimmune Susceptibility Gene, Has Inhibitory Potential on B-Cell Receptor-Mediated Signaling
J. Immunol., November 1, 2009; 183(9): 5502 - 5510.
[Abstract] [Full Text] [PDF]


Home page
Hum Mol GenetHome page
O. J. Brand, J. C. Barrett, M. J. Simmonds, P. R. Newby, C. J. McCabe, C. K. Bruce, B. Kysela, J. D. Carr-Smith, T. Brix, P. J. Hunt, et al.
Association of the thyroid stimulating hormone receptor gene (TSHR) with Graves' disease
Hum. Mol. Genet., May 1, 2009; 18(9): 1704 - 1713.
[Abstract] [Full Text] [PDF]


Home page
Hum Mol GenetHome page
M. J. Simmonds, J. M.M. Howson, J. M. Heward, J. Carr-Smith, J. A. Franklyn, J. A. Todd, and S. C.L. Gough
A novel and major association of HLA-C in Graves' disease that eclipses the classical HLA-DRB1 effect
Hum. Mol. Genet., September 15, 2007; 16(18): 2149 - 2153.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
C. J. Owen, H. Kelly, J. A. Eden, M. E. Merriman, S. H. S. Pearce, and T. R. Merriman
Analysis of the Fc Receptor-Like-3 (FCRL3) Locus in Caucasians with Autoimmune Disorders Suggests a Complex Pattern of Disease Association
J. Clin. Endocrinol. Metab., March 1, 2007; 92(3): 1106 - 1111.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
N. Manji, J. D. Carr-Smith, K. Boelaert, A. Allahabadia, M. Armitage, V. K. Chatterjee, J. H. Lazarus, S. H. S. Pearce, B. Vaidya, S. C. Gough, et al.
Influences of Age, Gender, Smoking, and Family History on Autoimmune Thyroid Disease Phenotype
J. Clin. Endocrinol. Metab., December 1, 2006; 91(12): 4873 - 4880.
[Abstract] [Full Text] [PDF]


Home page
EndocrinologyHome page
H. A. Aliesky, P. N. Pichurin, C.-R. Chen, R. W. Williams, B. Rapoport, and S. M. McLachlan
Probing the Genetic Basis for Thyrotropin Receptor Antibodies and Hyperthyroidism in Immunized CXB Recombinant Inbred Mice
Endocrinology, June 1, 2006; 147(6): 2789 - 2800.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Simmonds, M. J.
Right arrow Articles by Gough, S. C. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Simmonds, M. J.
Right arrow Articles by Gough, S. C. L.
Related Collections
Right arrow Thyroid


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals