Contribution of Polygenic Scores to Progression Independent of Relapse Activity in Multiple Sclerosis

Ferdinando Clarelli1, Melissa Sorosina1, Antonino Giordano1,2,3

  • 1IRCCS San Raffaele Scientific Institute, Division of Neuroscience, Institute of Experimental Neurology, Laboratory of Human Genetics of Neurological Disorders, Milan, Italy.

PubMed
Abstract

Insights

Genetic factors influence disability progression in multiple sclerosis (MS). Polygenic risk scores (PRS) are linked to progression independent of relapse activity (PIRA) events, particularly in younger MS patients.

Area of Science:

  • Neuroimmunology
  • Genetics of Neurological Disorders
  • Multiple Sclerosis Pathogenesis

Background:

  • Multiple sclerosis (MS) patients often experience disability accrual independent of relapse activity (PIRA), even early in the disease.
  • Understanding the genetic contribution to PIRA is crucial for predicting disease trajectory and developing targeted therapies.
  • This study investigates the genetic underpinnings of PIRA in a cohort of Italian MS patients.

Purpose of the Study:

  • To evaluate the genetic contribution to progression independent of relapse activity (PIRA) in multiple sclerosis (MS).
  • To assess the association between polygenic risk scores (PRS) and the rate of PIRA events.
  • To explore potential interactions between genetic risk and age at onset (AAO) in MS disability progression.

Main Methods:

  • Polygenic risk scores (PRS) were derived from a large genome-wide association study on MS severity (>20,000 patients).
  • PRS were computed at five p-value thresholds following a clumping procedure.
  • Negative binomial regression models were used to test the association between PRS and the rate of PIRA events.

Main Results:

  • A trend for association was observed between PRS and the rate of PIRA events in the overall cohort.
  • This association was significant in patients with an age at onset (AAO) ≤ 50 years (Rate Ratio = 1.148, p = 0.0328).
  • A significant mild antagonistic interaction effect was identified between PRS and AAO (p = 0.033).

Conclusions:

  • Genetic factors, specifically severity-related genetic load, appear to influence the rate of PIRA events in MS.
  • The impact of genetic risk on PIRA is more pronounced in individuals with an earlier disease onset (≤ 50 years).
  • Findings suggest an age-dependent influence of genetic risk scores on MS disability accumulation, potentially due to less prominent aging effects in younger patients.

Related Concept Videos

Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.6K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.4K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
16.0K
Pleiotropy01:33

Pleiotropy

Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
41.2K
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
Heritability01:06

Heritability

Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
308