Linkage of rheumatoid arthritis to insulin-dependent diabetes mellitus loci: evidence supporting a hypothesis for the existence of common autoimmune susceptibility loci

Variants in PTPN22 and SMOC2 genes and the risk of thyroid disease in the Jordanian Arab population

Autoimmune thyroid diseases (AITDs) (Hashimoto thyroiditis and Graves' disease) are complex polygenic disorders with multiple genes thought to contribute to the risk of disease. The contribution of these genes differs by different populations. The PTPN22 gene is reported to be associated with multiple autoimmune diseases, but results of association are conflicting in different populations. The SMOC2 gene is reported to be associated with families with autoimmune vitiligo that had other autoimmunities including thyroid disease. The study aims to investigate the association of PTPN22 and SMOC2 single nucleotide polymorphisms with thyroid disease in a cohort of Jordanian patients. We collected blood samples from 204 thyroid patients and 216 normal controls. We used PCR-RFLP to genotype rs2476601 in PTPN22 and rs13208776 in SMOC2 genes. Both of the SNPS did not show significant association with thyroid disease, even after stratification according to subtype of disease (Hashimoto thyroiditis and Graves' disease) or gender. We reanalyzed SMOC2 SNP using a dominant and recessive models and we got marginal significance when using a dominant model with female-only patients (P = 0.052). PTPN22 SNP did not show association with autoimmune thyroid disease in our patient cohort. This may be due to the low frequency of this SNP in the Jordanian population. SMOC2 SNP, on the other hand, may play a role in AITD susceptibility as a dominant polymorphism. Additional samples might be needed to confirm or exclude association of SMOC2 with AITD.

A comprehensive analysis of shared loci between systemic lupus erythematosus (SLE) and sixteen autoimmune diseases reveals limited genetic overlap

In spite of the well-known clustering of multiple autoimmune disorders in families, analyses of specific shared genes and polymorphisms between systemic lupus erythematosus (SLE) and other autoimmune diseases (ADs) have been limited. Therefore, we comprehensively tested autoimmune variants for association with SLE, aiming to identify pleiotropic genetic associations between these diseases. We compiled a list of 446 non–Major Histocompatibility Complex (MHC) variants identified in genome-wide association studies (GWAS) of populations of European ancestry across 17 ADs. We then tested these variants in our combined Caucasian SLE cohorts of 1,500 cases and 5,706 controls. We tested a subset of these polymorphisms in an independent Caucasian replication cohort of 2,085 SLE cases and 2,854 controls, allowing the computation of a meta-analysis between all cohorts. We have uncovered novel shared SLE loci that passed multiple comparisons adjustment, including the VTCN1 (rs12046117, P = 2.02×10⁻⁰⁶) region. We observed that the loci shared among the most ADs include IL23R, OLIG3/TNFAIP3, and IL2RA. Given the lack of a universal autoimmune risk locus outside of the MHC and variable specificities for different diseases, our data suggests partial pleiotropy among ADs. Hierarchical clustering of ADs suggested that the most genetically related ADs appear to be type 1 diabetes with rheumatoid arthritis and Crohn's disease with ulcerative colitis. These findings support a relatively distinct genetic susceptibility for SLE. For many of the shared GWAS autoimmune loci, we found no evidence for association with SLE, including IL23R. Also, several established SLE loci are apparently not associated with other ADs, including the ITGAM-ITGAX and TNFSF4 regions. This study represents the most comprehensive evaluation of shared autoimmune loci to date, supports a relatively distinct non–MHC genetic susceptibility for SLE, provides further evidence for previously and newly identified shared genes in SLE, and highlights the value of studies of potentially pleiotropic genes in autoimmune diseases.

It is well known that multiple autoimmune disorders cluster in families. However, all of the genetic variants that explain this clustering have not been discovered, and the specific genetic variants shared between systemic lupus erythematosus (SLE) and other autoimmune diseases (ADs) are not known. In order to better understand the genetic factors that explain this predisposition to autoimmunity, we performed a comprehensive evaluation of shared autoimmune genetic variants. First we considered results from 17 ADs and compiled a list with 446 significant genetic variants from these studies. We identified some genetic variants extensively shared between ADs, as well as the ADs that share the most variants. The genetic overlap between SLE and other ADs was modest. Next we tested how important all the 446 genetic variants were in our collection with a minimum of 1,500 SLE patients. Among the most significant variants in SLE, the majority had already been identified in previous studies, but we also discovered variants in two important immune genes. In summary, our data identified diseases with common genetic risk factors and novel SLE effects, and this supports a relatively distinct genetic susceptibility for SLE. This study helps delineate the genetic architecture of ADs.

The susceptibility loci juvenile idiopathic arthritis shares with other autoimmune diseases extend to PTPN2, COG6, and ANGPT1

OBJECTIVE

To test for associations between non-major histocompatibility complex susceptibility loci previously reported in autoimmune diseases and juvenile idiopathic arthritis (JIA).

METHODS

Published autoimmune disease genome-wide association studies were reviewed, and 519 single-nucleotide polymorphisms (SNPs) were selected for association testing. The initial cohort included 809 JIA cases and 3,535 controls of non-Hispanic, European ancestry. Of the SNPs, 257 were successfully genotyped, while 168 were imputed with quality. Based on findings in the initial cohort, replication was sought for 21 SNPs in a second cohort of 1,015 JIA cases and 1,569 controls collected in the US and Germany. For the initial cohort, tests for association were adjusted for potential confounding effects of population structure by including principal components derived from a genome-wide association study as covariates in logistic regression models. Odds ratios (ORs) and 95% confidence intervals were calculated.

RESULTS

Testing for association of previously reported autoimmune disease genetic associations in the initial cohort suggested associations with JIA in 13 distinct loci. Of these, 7 were validated in the replication cohort. Meta-analysis results for the replicating loci included PTPN22 (rs6679677 [OR 1.58, P = 1.98 × 10(-12) ], rs2476601 [OR 1.64, P = 1.90 × 10(-13) ], and rs2488457 [OR 1.32, P = 6.74 × 10(-8) ]), PTPN2 (rs1893217 [OR = 1.33, P = 1.60 × 10(-9) ] and rs7234029 [OR 1.35, P = 1.86 × 10(-10) ]), ADAD1-IL2-IL21 (rs17388568 [OR 1.24, P = 1.13 × 10(-6) ] and rs13143866 [OR 0.83, P = 1.95 × 10(-4) ]), STAT4 (rs3821236 [OR = 1.27, P = 2.36 × 10(-6) ] and rs7574865 [OR = 1.31, P = 2.21 × 10(-6) ]), C12orf30 (rs17696736 [OR = 1.19, P = 2.59 × 10(-5) ]), COG6 (rs7993214 [OR = 0.76, P = 1.10 × 10(-5) ]), and ANGPT1 (rs1010824 [OR = 0.79, P = 2.91 × 10(-4) ]). These polymorphisms have been reported in diseases such as rheumatoid arthritis, type 1 diabetes mellitus, Crohn's disease, and multiple sclerosis.

CONCLUSION

General susceptibility loci for autoimmunity are shared across diseases, including JIA, suggesting the potential for common therapeutic targets and mechanisms.

Genome-wide association study of generalized vitiligo in an isolated European founder population identifies SMOC2, in close proximity to IDDM8

Generalized vitiligo is a common disorder in which patchy loss of skin and hair pigmentation principally appears to result from autoimmune loss of melanocytes from affected regions. We previously characterized a unique founder population in an isolated Romanian community with elevated prevalence of generalized vitiligo and other autoimmune diseases, including autoimmune thyroid disease, rheumatoid arthritis, and type I diabetes mellitus. Here, we describe a genome-wide association study (GWAS) of generalized vitiligo in 32 distantly related affected patients from this remote village and 50 healthy controls from surrounding villages. Vitiligo was significantly associated with single-nucleotide polymorphisms (SNPs) in a 30-kb LD block on chromosome 6q27, in close vicinity to IDDM8, a linkage and association signal for type I diabetes mellitus and rheumatoid arthritis. The region of association contains only one gene, SMOC2, within which SNP rs13208776 attained genome-wide significance for association with generalized vitiligo (P=8.51x10(-8)) at odds ratio 7.445 (95% confidence interval=3.56-15.53) for the high-risk allele and population attributable risk 28.00. SMOC2 encodes a modular extracellular calcium-binding glycoprotein of unknown function. Our findings indicate that SMOC2 is a risk locus for generalized vitiligo and perhaps other autoimmune diseases.

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.

Familial aggregation and linkage analysis of autoantibody traits in pedigrees multiplex for systemic lupus erythematosus

Autoantibodies are clinically relevant biomarkers for numerous autoimmune disorders. The genetic basis of autoantibody production in systemic lupus erythematosus (SLE) and other autoimmune diseases is poorly understood. In this study, we characterized autoantibody profiles in 1,506 individuals from 229 multiplex SLE pedigrees. There was strong familial aggregation of antinuclear antibodies (ANAs), anti-double-stranded DNA (dsDNA), anti-La/SSB, anti-Ro/SSA, anti-Sm, anti-nRNP (nuclear ribonucleoprotein), IgM antiphospholipid (aPL) antibodies (Abs) and rheumatoid factor (RF) across these families enriched for lupus. We performed genome-wide linkage analyses in an effort to map genes that contribute to the production of the following autoantibodies: Ro/SSA, La/SSB, nRNP, Sm, dsDNA, RF, nuclear and phospholipids. Using an approach to minimize false positives and adjust for multiple comparisons, evidence for linkage was found to anti-La/SSB Abs on chromosome 3q21 (adjusted P=1.9 x 10(-6)), to anti-nRNP and/or anti-Sm Abs on chromosome 3q27 (adjusted P=3.5 x 10(-6)), to anti-Ro/SSA and/or anti-La/SSB Abs on chromosome 4q34-q35 (adjusted P=3.4 x 10(-4)) and to anti-IgM aPL Abs on chromosome 13q14 (adjusted P=2.3 x 10(-4)). These results support the hypothesis that autoantibody production is a genetically complex trait. Identification of the causative alleles will advance our understanding of critical molecular mechanisms that underlie SLE and perhaps other autoimmune diseases.

The type 1 diabetes susceptibility gene SUMO4 at IDDM5 is not associated with susceptibility to rheumatoid arthritis or juvenile idiopathic arthritis

OBJECTIVES

Linkage and association of rheumatoid arthritis (RA) and rheumatoid factor (RF)-negative juvenile idiopathic arthritis (JIA) has previously been demonstrated to the type 1 diabetes (T1D) locus, IDDM5, on chromosome 6q25. An association of a methionine-to-valine polymorphism (rs237025, 163A --> G, M55V) in the SUMO4 gene within IDDM5 has recently been described in T1D. The objective of this study was to test the hypothesis that SUMO4 is a general autoimmune susceptibility gene by investigating whether the SUMO4 polymorphism is associated with RA and/or JIA.

METHODS

The SUMO4 SNP was genotyped in 875 RA patients, 668 JIA patients and 484 healthy controls using a TaqMan allelic discrimination assay. Allele and genotype frequencies were compared between cases and controls using the chi2 test. Analyses were also carried out with RA patients stratified by gender, age at onset, RF status, the presence of erosive disease and shared epitope status, while JIA patients were stratified by their International League of Associations for Rheumatology (ILAR) subgroup.

RESULTS

No deviation from Hardy-Weinberg equilibrium was detected in either set of cases or controls. No association was observed between rs237025 and RA (chi2 = 0.17, P = 0.93), or with any RA subset. Similarly, there was no association between this SNP and JIA (chi2 = 0.21, P = 0.90), or with any ILAR subgroup.

CONCLUSIONS

The M55V substitution in the SUMO4 gene is not associated with susceptibility to RA or JIA in the UK population studied. However, other candidate genes mapping within IDDM5 remain to be investigated.

LEW.1WR1 rats develop autoimmune diabetes spontaneously and in response to environmental perturbation

We describe a new rat model of autoimmune diabetes that arose in a major histocompatibility complex congenic LEW rat. Spontaneous diabetes in LEW.1WR1 rats (RT1(u/u/a)) occurs with a cumulative frequency of approximately 2% at a median age of 59 days. The disease is characterized by hyperglycemia, glycosuria, ketonuria, and polyuria. Both sexes are affected, and islets of acutely diabetic rats are devoid of beta-cells, whereas alpha- and delta-cell populations are spared. The peripheral lymphoid phenotype is normal, including the fraction of ART2(+) regulatory T-cells. We tested the hypothesis that the expression of diabetes would be increased by immunological perturbation of innate or adaptive immunity. Treatment of young rats with depleting anti-ART2.1 monoclonal antibody increased the frequency of diabetes to 50%. Treatment with the toll-like receptor 3 ligand polyinosinic:polycytidylic acid increased the frequency of diabetes to 100%. All diabetic rats exhibited end-stage islets. The LEW.1WR1 rat is also susceptible to collagen-induced arthritis but is free of spontaneous thyroiditis. The LEW.1WR1 rat provides a new model for studying autoimmune diabetes and arthritis in an animal with a genetic predisposition to both disorders that can be amplified by environmental perturbation.

No evidence for association of the TATA-box binding protein glutamine repeat sequence or the flanking chromosome 6q27 region with type 1 diabetes

Susceptibility to the autoimmune disease type 1 diabetes has been linked to human chromosome 6q27 and, moreover, recently associated with one of the genes in the region, TATA box-binding protein (TBP). Using a much larger sample of T1D families than those studied by others, and by extensive re-sequencing of nine other genes in the proximity, in which we identified 279 polymorphisms, 83 of which were genotyped in up to 725 T1D multiplex and simplex families, we obtained no evidence for association of the TBP CAG/CAA (glutamine) microsatellite repeat sequence with disease, or for nine other genes, PDCD2, PSMB1, KIAA1838, DLL1, dJ894D12.4, FLJ25454, FLJ13162, FLJ11152, PHF10 and CCR6. This study also provides an exon-based tag single nucleotide polymorphism map for these 10 genes that can be used for analysis of other diseases.

Familial aggregation of juvenile idiopathic arthritis

OBJECTIVE

To estimate the degree of familial aggregation of juvenile idiopathic arthritis (JIA), determine whether the aggregation of JIA and the aggregation of type 1 diabetes mellitus (type 1 DM) overlap, and identify multiplex JIA pedigrees.

METHODS

Records of individuals with JIA or type 1 DM were probabilistically linked with records in the Utah Population Database (UPDB), a large computerized family history database. For each case of JIA or type 1 DM, 10 matched controls or 5 matched controls, respectively, were selected. All familial relationships among cases of JIA or type 1 DM were established. A familial risk score was calculated for each subject. For various levels of familial exposure to JIA or type 1 DM, one's risk (odds ratio [OR]) of developing JIA or type 1 DM was established (cases compared with controls). Recurrence risks for JIA were computed for relatives of JIA cases compared with relatives of controls. Extended JIA families were identified from a list of common ancestors.

RESULTS

Records of a total of 443 patients were linked with the UPDB. Of these, 381 (86.0%) met criteria for JIA. An increased risk for JIA was observed among relatives of probands with JIA. The prevalence of type 1 DM among JIA cases was higher than the US prevalence of type 1 DM (P < 0.003). The recurrence risk for JIA was significantly elevated among first-degree relatives of cases with JIA (OR 30.4). The overall prevalence of JIA was 28/100,000. Four extended JIA pedigrees were identified.

CONCLUSION

There is familial aggregation of JIA in the Intermountain West region of the US. We have demonstrated that multiplex JIA pedigrees can be identified using a genealogic database.

The common variants/multiple disease hypothesis of common complex genetic disorders

Unlike simple rare Mendelian disorders, the genetic basis for common disorders is unclear. A general model of the genetics of common complex disorders is proposed which emphasizes the shared nature of common alleles in related common disorders, such as schizophrenia and bipolar disorder, Type II diabetes and obesity, and among autoimmune diseases. This model, the common variants/multiple disease hypothesis, emphasizes that many disease genes may not be disease specific. Common deleterious alleles, found at a relatively high frequency in the population may play a role in related clinical phenotypes in the context of different genetic backgrounds and under different environmental conditions.

Haplotype associations define target regions for susceptibility loci in systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by diverse and variable clinical manifestations. The etiology of SLE is still unknown, but both environmental and genetic factors are involved. Recent genome-wide scans and candidate genes studies in different ethnic groups have already suggested susceptibility loci for SLE, but most of the genetic component remains unexplained. We have previously conducted a genome-wide scan in 35 Finnish families multiply affected with SLE. With 417 microsatellite markers, we detected suggestive linkage in regions on chromosomes 6q and 14q as well as HLA on 6p. The 14q locus has also been implicated in three previous genome scans on SLE, whereas a partially overlapping region on 6q was implicated in one previous study. In an effort to obtain additional evidence for susceptibility loci on 6q and 14q and in order to refine their positions, we performed fine mapping at 1 cM density across the suggestive regions of linkage. Our results show evidence for excess sharing of a haplotype on 14q and excess transmission of a haplotype on 6q. Our results are compatible with the idea of a founder effect for susceptibility genes in SLE in central eastern Finland and suggest a path to the isolation of the putative susceptibility genes.

The genetics of autoimmune endocrine disease

The common autoimmune endocrinopathies result from an interaction between environmental factors and genetic predisposition. Several chromosomal gene regions have been shown to contribute to more than one disease, supporting the clinical observation that the autoimmune endocrine diseases cluster within individuals and families. Genetic studies have implicated the major histocompatability complex (MHC)-human leucocyte antigen (HLA) genes on chromosome 6p21, although this chromosomal region does not explain all of the genetic contribution to the various disorders. Non-MHC-HLA genes, including disease-specific loci, are beginning to be identified and the publication of the draft sequence of the human genome will undoubtedly expediate future discoveries. Combined with the establishment of large cohorts of subjects with disease and the development of technology capable of performing high-throughput genotyping, genetic studies are likely to impact on the future treatment and prevention of the common autoimmune endocrine diseases.

Advances in understanding the genetic basis of rheumatoid arthritis and osteoarthritis: implications for therapy

Rheumatoid arthritis (RA) and osteoarthritis (OA) are polygenic diseases. Polymorphisms in candidate genes have been studied for possible association with susceptibility to disease development. Aside from HLA polymorphisms, of particular interest are those in genes encoding cytokines, signaling molecules, and enzymes involved in the production and catabolism of oxygen and nitrogen radicals. Cytokines are involved in the modulation of the pathological process and have been the target for novel therapeutic interventions. Evidence for their involvement in RA and OA has been provided from genetic analyses in patient populations as well as from animal models of disease. Intracellular signaling cascades control cellular responses and thus regulate many aspects of the pathology manifested in rheumatic diseases. Deciphering the organization and activity of such signaling pathways in disease is underway. Polymorphisms have been identified in gene promoter regions regulating efficient binding of transcription factors, and in coding regions of genes whose products are involved in signal cascades relevant to RA. Among these are the NF-kappaB pathway, steroid receptors and the p53 tumor suppressor gene. Both reactive oxygen species (ROS) and reactive nitrogen species (RNS) have also been implicated in rheumatic diseases. It is thought that excess, damaging, ROS/RNS may arise from an imbalance between the production and removal of these chemical species. Polymorphisms in genes that encode enzymes involved in either generating or degrading ROS/RNS may contribute to such an imbalance. In the last few years, polymorphisms in such genes have indeed been identified as risk factors for rheumatic diseases.

Genetics of type 1 diabetes mellitus

At least 20 different chromosomal regions have been linked to type 1 diabetes (T1D) susceptibility in humans, using genome screening, candidate gene testing, and studies of human homologues of mouse susceptibility genes. The largest contribution from a single locus (IDDM1) comes from several genes located in the MHC complex on chromosome 6p21.3, accounting for at least 40% of the familial aggregation of this disease. Approximately 30% of T1D patients are heterozygous for HLA-DQA1*0501-DQB1*0201/DQA1*0301-DQB1*0302 alleles (formerly referred to as HLA-DR3/4 and for simplification usually shortened to HLA-DQ2/DQ8), and a particular HLA-DQ6 molecule (HLA-DQA1*0102-DQB1*0602) is associated with dominant protection from the disease. There is evidence that certain residues important for structure and function of both HLA-DQ and DR peptide-binding pockets determine disease susceptibility and resistance. Independent confirmation of the IDDM2 locus on chromosome 11p15.5 has been achieved in both case-control and family-based studies, whereas associations with the other potential IDDM loci have not always been replicated. Several possibilities to explain these variable results from different studies are discussed, and a key factor affecting both linkage and association studies is that the genetic basis of T1D susceptibility may differ between ethnic groups. Some future strategies to address these problems are proposed. These include increasing the sample size in homogenous ethnic groups, high throughput genotyping and genomewide linkage disequilibrium (LD) mapping to establish disease associated ancestral haplotypes. Elucidation of the function of particular genes ('functional genomics') in the pathogenesis of T1D will be a most important element in future studies in this field, in addition to more sophisticated methods of statistical analyses.

Testing for genetic associations with the PAX gene family in a spina bifida population

Neural tube defects (NTDs) are among the most common severely disabling birth defects in the United States, affecting approximately 1-2 of every 1,000 live births. The etiology of NTDs is multifactorial, involving the combined action of both genetic and environmental factors. A nonparametric linkage method, the transmission disequilibrium test (TDT), was utilized to determine if the genes in the PAX family play a role in the formation of NTDs. DNA from 459 spina bifida (SB) patients and their parents (430 mothers and 239 fathers, for a total population of 1,128 subjects) was tested for linkage and association utilizing polymorphic markers from within or very close to the PAX genes of interest. Significant findings were obtained for the following markers: marker locus D20S101 flanking the PAX1 gene (P = 0.019), marker locus D1S228 within the PAX7 gene (P = 0.011), and marker locus D2S110 within the PAX8 gene (P = 0.013). Even though our findings are only mildly significant, given the known expression patterns of the PAX genes in development and the availability of their sequences, we elected to follow up these results by testing these genes directly for mutations utilizing single-strand conformational analysis (SSCA) and direct sequencing. Multiple variations were detected in each of the PAX genes with significant TDT results; however, these variations were not passed from parent to child in phase with the positively transmitted allele. Therefore, it is unlikely that these variations contribute to susceptibility for SB, but rather are previously unreported polymorphisms.

Genetic approaches to the investigation of rheumatoid arthritis

The investigation of genetic factors affecting the development or severity of rheumatoid arthritis may give new insights into the pathways involved in disease pathogenesis and lead to the identification of novel therapeutic targets. Recently, several novel approaches have been used in the attempt to unravel the complex association of rheumatoid arthritis with the human leukocyte antigen ( HLA ) gene region. It is clear that non-HLA genes are also involved in disease pathogenesis, and identifying them remains a challenge. In the past year, considerable headway has been made in this field, and some interesting strategies have been used. This review summarizes the results of many of the HLA and non-HLA studies and tries to draw lessons from the investigation of genetic susceptibility factors in other complex diseases.

The IDDM13 region containing the insulin-like growth factor binding protein-5 (IGFBP5) gene on chromosome 2q33-q36 and the genetic susceptibility to rheumatoid arthritis

We considered that the constitutive over-expression by cultured rheumatoid arthritis (RA) fibroblast-lineage synoviocytes of genes like IGFBP5 could indicate new candidate susceptibility genes. IGFBP5 is located in a region where an insulin-dependent diabetes mellitus (IDDM) susceptibility locus, IDDM13 (2q33-q36), has been mapped. Previous evidence that non-MHC IDDM loci overlap RA susceptibility loci made IGFBP5 and its region an interesting candidate locus which was tested for linkage. Forty-nine sibships (2-4 affected siblings per sibship) with RA were genotyped with microsatellite markers covering an 11.2 cM interval in the IGFBP5/IDDM13 region. Both the two-point LOD scores and a 'nonparametric' allele-sharing analysis revealed no evidence for linkage (max LOD = 0.54, P = 0.5, respectively). Adjustments for the presence of 'shared-epitope' alleles did not significantly change the LOD scores. These results suggest that, despite the involvement of the 2q33-q36 chromosomal region in another organ-specific autoimmune disease, it is unlikely that this region harbors a RA susceptibility locus.

Epidemiology and genetics of rheumatoid arthritis

The prevalence of rheumatoid arthritis (RA) is relatively constant in many populations, at 0.5-1.0%. However, a high prevalence of RA has been reported in the Pima Indians (5.3%) and in the Chippewa Indians (6.8%). In contrast, low occurrences have been reported in populations from China and Japan. These data support a genetic role in disease risk. Studies have so far shown that the familial recurrence risk in RA is small compared with other autoimmune diseases. The main genetic risk factor of RA is the HLA DRB1 alleles, and this has consistently been shown in many populations throughout the world. The strongest susceptibility factor so far has been the HLA DRB1*0404 allele. Tumour necrosis factor alleles have also been linked with RA. However, it is estimated that these genes can explain only 50% of the genetic effect. A number of other non-MHC genes have thus been investigated and linked with RA (e.g. corticotrophin releasing hormone, oestrogen synthase, IFN-gamma and other cytokines). Environmental factors have also been studied in relation to RA. Female sex hormones may play a protective role in RA; for example, the use of the oral contraceptive pill and pregnancy are both associated with a decreased risk. However, the postpartum period has been highlighted as a risk period for the development of RA. Furthermore, breastfeeding after a first pregnancy poses the greatest risk. Exposure to infection may act as a trigger for RA, and a number of agents have been implicated (e.g. Epstein-Barr virus, parvovirus and some bacteria such as Proteus and Mycoplasma). However, the epidemiological data so far are inconclusive. There has recently been renewed interest in the link between cigarette smoking and RA, and the data presented so far are consistent with and suggestive of an increased risk.

What is the natural history of rheumatoid arthritis?

Inflammatory polyarthritis can be a self-limiting disease, develop into rheumatoid arthritis (RA) or differentiate into another form of chronic arthritis. It remains a clinical and scientific challenge to understand the relationship between these phenotypes, determine their aetiologies and predict the course and outcome for individual patients. Even patients labelled as having RA show a wide spectrum of clinical phenotypes. Disease definition is a major problem in studying the aetiology of RA as currently used classification criteria were derived using patients with established disease. RA is thought to result from the combination of genetic susceptibility and exposure to an appropriate environmental trigger. The genetic component is probably oligogenic. The association with HLA has been known for over 25 years. RA is now thought to be associated with a conserved sequence of amino acids in a number of HLA-DRB1 alleles, called the RA shared epitope. However, the shared epitope appears to be associated with RA chronicity and severity more than with susceptibility. Other potential RA susceptibility genes include IL-1, aromatase, corticotropin-releasing hormone and a region on the X chromosome. Hormonal and reproductive factors also influence RA susceptibility and severity. RA is more common in women than men, especially before the menopause. Men may be protected by hormonal factors and require a stronger genetic component to develop disease. Although infectious triggers of RA have long been suspected, no definitive evidence has been obtained. Previous blood transfusion, smoking and obesity are also possible risk factors. Chronicity and remission are important aspects of the natural history of early RA. Although we can identify patients at risk of adverse prognosis with some accuracy, we remain unable to predict remission. Functional disability and radiological damage are the most studied outcomes in RA. Radiological damage often occurs early in the course of RA, but patients may show erosion for the first time several years after symptom onset. Many studies have demonstrated a relationship between HLA and features of severe RA in established patients. This appears to be related to gene dosage.

Genes of SHR rats protect spontaneously diabetic BB/OK rats from diabetes: lessons from congenic BB.SHR rat strains

Diabetes in BB rats share many common features with human type 1 diabetes. One of them is the complex and polygenic nature of disease. Analysis of cross hybrids of diabetic BB/OK rats and rats of different diabetes-resistant strains has demonstrated that beside the MHC genes, Iddm1 and the lymphopenia, Iddm2, additional non-MHC genes are involved in diabetes development. To study the importance of the non-MHC genes, Iddm4 and Iddm3, two congenic BB.SHR rat strains were generated by recombining a segment of the SHR chromosome 6 (Iddm4; termed BB.6S; 15cM) or chromosome 18 (Iddm3; termed BB.18S; 24cM) into the BB/OK background by serial backcrossing and marker-aided selection. The characterization of both congenic strains demonstrates a drastic reduction of diabetes frequency in comparison to the BB/OK strain (86% vs 14% and 34%). It is supposed that diabetes protective genes of SHR must be located on both chromosomal segments and that these suppress the action of the essential and most important genes of diabetes development in the BB/OK rat, Iddm1, and Iddm2.

Genetic epidemiology. Approaches to the genetic analysis of rheumatoid arthritis

The basis of susceptibility to rheumatoid arthritis (RA) is complex, comprising genetic and environmental susceptibility factors. We have reviewed the available approaches to the investigation of the genetic basis of complex diseases and how these are being applied to RA. Affected-sibling-pair methods for nonparametric linkage analysis, linkage-disequilibrium-based approaches, transmission disequilibrium testing, and disease-association studies are discussed. The pros, cons, and limitations of the approaches are considered and are illustrated by examples from the literature about rheumatoid arthritis.