Nature Genetics· 2013Q1
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
- 1,451citations
- Q1SCImago
- 2013year
Short summary
A large-scale genetic study identified 48 new variants associated with multiple sclerosis (MS) susceptibility, bringing the total to 110 known risk variants outside the major histocompatibility complex.
AI-generated from the title and abstract; the full text is not read.
Key points
- Identified 48 new susceptibility variants for multiple sclerosis (MS).
- Analyzed data from 80,094 individuals of European ancestry.
- Replicated findings using the ImmunoChip genotyping array.
- Increased the total number of established MS risk variants to 110 outside the MHC.
- Demonstrated the utility of high-resolution Bayesian fine mapping for resolving genetic associations.
AI-generated from the title and abstract; the full text is not read.
Abstract
The International Multiple Sclerosis Genetics Consortium reports the discovery of 48 new susceptibility variants for multiple sclerosis through targeted follow-up of immune-related loci. They also report fine mapping of association signals at established susceptibility loci and provide insights into the immune system processes underlying this disease. Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10−4). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10−8), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
The authors' abstract, as published at the source. Nature Genetics, 2013 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Pathology and Forensic Medicine
Pathology and Forensic MedicineMedicine