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Knowledge about the balance between heritable and nonheritable risk in multiple sclerosis (MS) is based on twin studies in high-prevalence areas. In a study that avoided ascertainment limitations and directly compared continental Italy (medium-prevalence) and Sardinia (high-prevalence), we ascertained 216 pairs from 34,549 patients. This gives a twinning rate of 0.62% among MS patients, significantly less than that of the general population. In continental Italy, probandwise concordance was 14.5% (95% confidence interval, 5.1-23.8) for monozygotic and 4.0% (95% confidence interval, 0.8-7.1) for dizygotic twins. Results in Sardinia resemble those in northern populations but in limited numbers. Monozygotic concordance was 22.2% (95% confidence interval, 0-49.3) probandwise, but no concordant dizygotic pairs were identified. A questionnaire on 80 items possibly related to disease cause was administered to 70 twin pairs, 135 sporadic patients, and 135 healthy volunteers. Variables positively (7) or negatively (2) associated with predisposition and concordance in twins largely overlapped and were mainly linked to infection. If compared with previous studies, our data demonstrate that penetrance in twins appears to correlate with MS prevalence. They highlight the relevance of nonheritable variables in Mediterranean areas. The apparent underrepresentation of MS among Italian twins draws attention to protective factors, shared by twins, that may influence susceptibility.

We have systematically screened the genome for evidence of linkage disequilibrium (LD) with multiple sclerosis (MS) by typing 6000 microsatellite markers in case-control and family based (AFBAC) cohorts from the Italian population. DNA pooling was used to reduce the genotyping effort involved. Four DNA pools were considered: cases (224 Italian MS patients), controls (231 healthy Italians), index (185 index cases from trio families) and parents (the 370 parents of the patient included in the Index pool), respectively. After refining analysis of the most promising 14 markers to emerge from this screening process, only marker D2S367 retained evidence for association.

Twins are a valuable resource for the study of complex traits. The twin method is substantially based on the comparison between correlations and concordance in monozygotic (MZ) and dizygotic (DZ) twins and allows several applications in biomedical and molecular genetic research. It allows either the qualitative and quantitative evaluation of the influences that genetic and environmental factors exert on phenotypes or the estimation of trait variability. Moreover, classical genetic linkage analysis is more powerful if performed in DZ twins. However, the twin method has some pitfalls, such as the necessity that collected samples be representative of both twin and general population. For this reason, over the last few years, a number of Countries have established population-based twin registers, which guarantee the maximum level of representation and, consequently, are of extreme value for epidemiological studies. Italy is also implementing a national twin register. The following is the description of the procedure that led to the establishment of the Italian Twin Registry.

Genes encoding for prolactin (PRL) and its receptor (PRLR) are possible candidates for multiple sclerosis (MS) and systemic lupus erythematosus (SLE) susceptibility. In fact: (1) a prolactin secretion dysfunction has been described in several autoimmune diseases including SLE and MS and their animal models; (2) both PRL and PRLR are structurally related to members of the cytokine/hematopoietin family and have a role in the regulation of the immune response; and (3) both PRL and PRLR genes map in genomic regions that showed linkage with autoimmunity. Prolactin maps on chromosome 6p, about 11-kb telomeric to HLA-DRB1 and PRLR in 5p12-13, which revealed evidence of linkage with MS in different populations. To evaluate a possible role of these two genes in SLE and MS we performed an association study of 19 PRL and PRLR single nucleotide polymorphisms (SNPs). These were directly searched by DHPLC in a panel of SLE and MS patients and selected from databases and the literature. The SNP allele frequencies were determined on patient and control DNA pools by primer-extension genotyping and HPLC analysis. Moreover a panel of HLA typed SLE and control individuals were individually genotyped for the PRL G-1149T polymorphism previously described to be associated with SLE. No statistically significant difference in the allele distribution was observed for any of the tested variations.