Related Experiment Video
Updated: Sep 17, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
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.
Background:
Despite effective therapeutic control of relapses, many patients with multiple sclerosis (MS) experience, from the earliest phases of disease, disability accrual, which mostly occurs as progression independent of relapse activity (PIRA). In this observational study, we aimed at evaluating the genetic contribution to PIRA, using polygenic risk scores (PRS) in a cohort of 1162 Italian patients.
Methods:
PRS were derived from the largest multi-centric genome-wide association study on MS severity, conducted on more than 20,000 patients. The scores were computed at 5 p-value thresholds after a clumping procedure. Association with the rate of PIRA events was tested by fitting negative binomial regression models.
Results:
Analyses revealed a trend for association of PRS with the rate of PIRA events, which were significant in the subset of patients with age at onset ≤ 50 years (Rate Ratio = 1.148, 95% CI: 1.01 to 1.304, p = 0.0328). An interaction effect was identified between PRS and AAO, indicating a significant mild antagonistic effect (RRint = 0.98, 95% CI: 0.96 to 1.0, p = 0.033).
Conclusions:
Our results suggest an influence of severity-related genetic load on the rate of PIRA events, especially in subjects with disease onset before the age of 50 years, characterized by a less prominent effect of aging processes on disability accumulation. This finding supports previous observations from other studies of an age-dependent influence of genetic risk scores on complex traits.
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 Traits
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Single Nucleotide Polymorphisms-SNPs
Pleiotropy
Multiple Regression
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...
Heritability

