The genetic aspects of multiple sclerosis

Familial aggregation of multiple sclerosis: Results from the national registry of the disease in Saudi Arabia

Background

Multiple Sclerosis (MS) is a chronic CNS inflammatory disease commonly affecting young adults. Both genetics and environmental factors have been reported to have a role in pathophysiology of the disease.

Objective

This article aims to report familial nature and aspects of MS in Saudi Arabia.

Method

The study utilized data collected by the National Saudi MS Registry between 2015 and 2018; especially data relevant to the familial history of MS. SPSS 22 was used for all analysis and reporting. Statistical significance was set at p-value < 0.05.

Results

The registry included 20 hospitals and a total of 2516 patients from the different regions of Saudi Arabia with median age 32.00 (Range: 11-63) and 66.5% being female. About 12.8% of all registered patients reported a family history of MS (95%CI: 11.2-13.9). Reported parental consanguinity was significantly higher among patients with family history (FMS) (56.3%) compared to non-FMS patients (27.9%). 42.53% of FMS patients reported having siblings affected with MS (95%CI: 37.01-48.21), with more female siblings affected than males (63.4% vs 36.6% respectively).

Conclusion

Our Findings suggested that FMS was less prevalent than what was reported previously; however, parental consanguinity was significantly more prevalent among FMS patients than non-FMS. Our findings were in line with those reported in recent studies in the region, but lower than those reported by western countries indicating that increasing prevalence of MS in Saudi Arabia could be multifactorial and other environmental factors should be considered for understanding this recent rise in the prevalence of MS in Saudi Arabia.

Multiple sclerosis: individualized disease susceptibility and therapy response

Multiple sclerosis (MS) is a heterogeneous disease in which diverse genetic, pathological and clinical backgrounds lead to variable therapy response. Accordingly, MS care should be tailored to address disease traits unique to each person. At the core of personalized management is the emergence of new knowledge, enabling optimized treatment and disease-modifying therapies. This overview analyzes the promise of genetic and nongenetic biomarkers in advancing decision-making algorithms to assist diagnosis or in predicting the disease course and therapy response in any given MS patient.

A nationwide survey of the prevalence of multiple sclerosis in immigrant populations of Sweden

BACKGROUND

In 2008, immigrants constituted 14% of the population of Sweden, a high-risk area for multiple sclerosis (MS). We investigated the largest Swedish immigrant populations for the prevalence of MS.

METHOD

Data on foreign-born MS patients were retrieved from Swedish national health and population registers. We calculated observed versus expected numbers of MS patients and gender- and age-specific prevalence ratios (PR) between immigrant populations and the general population of Sweden and, where possible, of the countries of birth.

RESULTS

The 19 largest immigrant populations included 1327 MS patients. The global variation in MS prevalence was reflected in Sweden. The prevalence in immigrant populations who had moved to Sweden from countries with a lower MS risk was however higher than in their countries of birth. Notably, the MS prevalence in the population born in Iran was at least as high as in the general population of Sweden (men: PR = 1.10, 95% CI 0.81-1.46, p = 0.537, women: PR = 1.18, 95% CI 0.97-1.44, p = 0.855) and more than twice as high as in Isfahan, Iran (men: PR = 3.06 (95% CI 2.26-4.06), p <0.001, women: PR = 2.21 (95% CI 1.81-2.68), p <0.001).

CONCLUSIONS

The MS prevalence increased in migrants who moved to Sweden from countries with a lower MS risk. In the Iranian immigrant population the prevalence exceeded that in the general population of Sweden. This indicates that Iranians carry genetic factors that contribute to a higher MS risk when environmental-lifestyle MS risk factors change.

Insight from genome-wide association studies in rheumatoid arthritis and multiple sclerosis

Autoimmune diseases are caused by multiple genes and environmental effects. In addition, genetic contributions and the number of associated genes differ among different diseases and ethnic populations. Genome-wide association studies (GWAS) on rheumatoid arthritis (RA) and multiple sclerosis (MS) show that these diseases share many genetic factors. Recently, in addition to the major histocompatibility complex (MHC) gene, other genetic loci have been found to be associated with the risk for autoimmune diseases. This review focuses on the search for genetic variants that influence the susceptibility to RA and MS as typical autoimmune diseases and discusses the future of GWAS.