We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Immune Processes Linked to Multiple Sclerosis Genetics

By LabMedica International staff writers
Posted on 17 Oct 2019
Print article
Image: A multiple sclerosis chip (MS chip) was designed using the Illumina iSelect platform (Photo courtesy of Illumina).
Image: A multiple sclerosis chip (MS chip) was designed using the Illumina iSelect platform (Photo courtesy of Illumina).
Multiple sclerosis (MS) is an autoimmune inflammatory degenerative disease of the central nervous system that often starts in young adulthood and affects 2.3 million individuals worldwide. While prior genetic studies have implicated the adaptive immune system in the disease, in particular T cells, much of the genetic architecture of MS has remained unknown.

The role of the adaptive arm of the immune system, particularly its CD4+ T cell component, has become clearer, with multiple different T cell subsets being implicated. Although the T cell component plays an important role, functional and epigenomic annotation studies have begun to suggest that other elements of the immune system may be involved as well.

Scientists involved with the International Multiple Sclerosis Genetics Consortium (Boston, MA, USA) analyzed genotyping data from a total of more than 47,000 MS patients and more than 68,000 unaffected controls. These included both existing datasets and two large-scale new datasets for replication studies. For the autosomal non- major histocompatibility complex (MHC) genome, they applied a partitioning approach to create regions of ±1 Mbp around the most statistically significant single nucleotide polymorphisms (SNP). The team designed the MS Chip using the Illumina iSelect platform, adding ~90K custom selected SNPs to the Illumina Exome Core content (~200K SNPs).

The team identified 233 associations with MS susceptibility that had genome-wide significance, including 32 loci on the major histocompatibility complex and one on the X chromosome. The latter might help explain why MS affects almost three times more women than men. Using gene expression and epigenomic data for T cells, monocytes, peripheral blood mononuclear cells, and prefrontal cortex tissue, the scientists found that MS risk loci are enriched in many types of immune cells and tissues, as well as in microglia, which are the immune cells of the brain, but not in other types of brain cells. Together with other functional studies into the effects of MS risk variants, they identified a list of 551 putative MS susceptibility genes with involvement in both innate and adaptive immune responses, many of which have roles in the development, maturation, and differentiation of B cells, T cells, natural killer cells, and myeloid cells.

The authors concluded that beyond the characterization of the molecular events that trigger MS, this map will also inform the development of primary prevention strategies because they can leverage this information to identify the subset of individuals who are at greatest risk of developing MS. Although insufficient by itself, an MS genetic risk score has a role to play in guiding the management of the population of individuals 'at risk' of MS (such as family members) when deployed in combination with other measures of risk and biomarkers that capture intermediate phenotypes along the trajectory from health to disease. The study was published on September 27, 2019, in the journal Science.

Related Links:
International Multiple Sclerosis Genetics Consortium

New
Gold Member
Human Chorionic Gonadotropin Test
hCG Quantitative - R012
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Herpes Simplex Virus ELISA
HSV 2 IgG – ELISA
New
Epstein-Barr Virus Test
Mononucleosis Rapid Test

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: Karius Focus BAL is designed to quickly identify the etiology of lung infections and improve diagnostic yield over standard of care testing (Photo courtesy of Karius)

Microbial Cell-Free DNA Test Accurately Identifies Pathogens Causing Pneumonia and Other Lung Infections

Bronchoalveolar lavage (BAL) is a commonly used procedure for diagnosing lung infections, especially in immunocompromised patients. However, standard tests often fail to pinpoint the exact pathogen, leading... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.