Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

The refinement of genetic predictors of multiple sclerosis.

PloS one - 1 Jan 2014

Disanto Giulio, Dobson Ruth, Pakpoor Julia, Elangovan Ramyiadarsini I, Adiutori Rocco, Kuhle Jens, Giovannoni Gavin

Abstract excerpt

A recent genome wide association study (GWAS) demonstrated that more than 100 genetic variants influence the risk of multiple sclerosis (MS). We investigated what proportion of the general population can be considered at high genetic risk of MS, whether genetic information can be used to predict disease development and how the recently found genetic associations have influenced these estimates. We used summary...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computer Simulation
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genome-Wide Association Study

Share to Models, Genetic

Share to Models, Statistical

Share to Multiple Sclerosis

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 24794218
DOI: 10.1371/journal.pone.0096578
PMCID: PMC4008598

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The refinement of genetic predictors of multiple sclerosis.PMID 24794218Read ↗

Perspectives on the use of multiple sclerosis risk genes for prediction.Semantic proximity Read ↗

Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score.Semantic proximity Read ↗

Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association dataSemantic proximity Read ↗

A genetic basis for multiple sclerosis severity: Red herring or real?Semantic proximity Read ↗

The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years.Semantic proximity Read ↗

[The genetic profile of multiple sclerosis: risk genes and the "dark matter"].Semantic proximity Read ↗

Genetics and functional genomics of multiple sclerosis.Semantic proximity Read ↗

A review of genome-wide association studies for multiple sclerosis: classical and hypothesis-driven approaches.Semantic proximity Read ↗

Not all roads lead to the immune system: The Genetic Basis of Multiple Sclerosis Severity Implicates Central Nervous System and Mitochondrial InvolvementSemantic proximity Read ↗

Genetic determinants of risk and progression in multiple sclerosis.Semantic proximity Read ↗

From genes to characteristics of multiple sclerosis.Semantic proximity Read ↗

Estimating the proportion of variation in susceptibility to multiple sclerosis captured by common SNPs.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.