Interferon gamma gene in rheumatoid arthritis

Genetic epidemiology of rheumatoid arthritis

Building on the spectacular success of molecular genetics in defining the biological basis of many rare single gene disorders over the past decade, epidemiologists have turned their attention to unravelling the complex genetic mysteries of common disorders, such as rheumatoid arthritis (RA). As a prelude to any such endeavour it is obviously important to establish that there is a significant genetic component to the disease. The classical approaches of twin and other family recurrence risk studies, coupled with prevalence studies in different ethnic and migrant populations, have been used to estimate the environmental and genetic contributions to RA. However, developing a consensus on these estimates has proved difficult, thereby providing an early warning to the unwary investigator that the road to gene discovery in RA is likely to be a rough ride.

Accurate microsatellite typing and inter-study comparison: pitfalls and solutions using interferon-gamma (IFNG) and natural resistance-associated macrophage protein 2 (NRAMP2) genes as examples

Microsatellite typing is frequently used in disease diagnosis and in genetic association studies. Inter-study consistency and comparability is essential in both applications. In this study, we show that the interlaboratory comparison of microsatellite sizes is often discrepant and misleading. This is a matter of great concern in the recent literature. However, accurate allele designation is easily attainable by the simple procedures we report, which are applicable to all gel-based genotyping methods. These involve: 1) the creation of dedicated standards for a specific microsatellite by PCR-amplifying representative alleles to generate an allelic ladder with comparable electrophoretic characteristics; 2) including both internal and external standards during electrophoresis to facilitate alignment. In addition, we recommend procedures that will improve inter-study comparability of all microsatellite analyses regardless of genotyping method. These involve: 1) cloning and sequencing representative microsatellite alleles to obtain accurate size designation; 2) sharing alleles of known sequence between laboratories to use as standards. We report on the typing of natural resistance-associated macrophage protein (NRAMP2) and interferon-y (IFNG) gene microsatellites as examples, the latter of which is crucial to many pathogenic processes. We describe in detail the varying allele sizes obtained by different methods, which prevent meaningful inter-study comparisons.

Association of familial and sporadic rheumatoid arthritis with a single corticotropin-releasing hormone genomic region (8q12.3) haplotype

OBJECTIVE

Rheumatoid arthritis (RA) is a common disabling autoimmune disease with a complex genetic component. We have previously described linkage of a region of chromosome 8q12.3 with RA and association of the microsatellite marker CRHRA1 with RA in 295 affected sibling-pair families. In the current study we aimed to physically link the RA-associated marker with the corticotropin-releasing hormone (CRH) candidate gene, and to examine the genomic region for additional short tandem repeat (STR) genetic markers in order to clarify the association with RA.

METHODS

We examined the association of 2 STR markers with disease in the original 295 multicase families and in a cohort of 131 simplex families to refine our understanding of this genetic region in disease susceptibility in sporadic and familial RA. Genomic library screening and sequencing were used to generate physical sequences in the CRH genomic region. Bioinformatic analysis of the sequence flanking the CRH structural gene was used to screen for additional STRs and other genetic features. Genotyping was carried out using a standard fluorescence approach. Estimations of haplotype frequencies were performed to assess linkage disequilibrium. The transmission disequilibrium test was performed using TRANSMIT.

RESULTS

Physical cloning and sequencing analyses identified the genomic region linking the CRHRA1 marker and the CRH structural locus. Moreover, we identified a further STR, CRHRA2, which was in strong linkage disequilibrium with CRHRA1 (P = 4.0 x 10(-14)). A haplotype, CRHRA1*10;CRHRA2*14, was preferentially carried by unaffected parents at a frequency of 8.6% compared with the expected frequency of 3.1%. This haplotype was overtransmitted in the multiply affected families (P = 0.0077) and, similarly, in the simplex families (P = 0.024). Combined analysis of both family cohorts confirmed significant evidence for linkage (P = 4.9 x 10(-4)) and association (P = 5.5 x 10(-3)) for this haplotype with RA.

CONCLUSION

In demonstrating significant linkage disequilibrium between these 2 markers, we have refined the disease-associated region to a single haplotype and confirmed the significance of this region in our understanding of the genetics of RA.