ArticleNeurogenetics2015
Multiple sclerosis risk loci correlate with cervical cord atrophy and may explain the course of disability.
Article in Neurogenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Genetic Prognostic Factors in Multiple Sclerosis: Key Discoveries and Unmet Needs.International journal of molecular sciences · 2026Review
- The role of BATF in immune cell differentiation and autoimmune diseases.Biomarker research · 2025Review
- Adaptive and Innate Immunity Are Key Drivers of Age at Onset of Multiple Sclerosis.Neurology. Genetics · 2024Article
- Combination of Genomic and Transcriptomic Approaches Highlights Vascular and Circadian Clock Components in Multiple Sclerosis.International journal of molecular sciences · 2021Article
- Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.Current treatment options in neurology · 2018Review
- The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017Review
- Primary Progressive Multiple Sclerosis: Putting Together the Puzzle.Frontiers in neurology · 2017Review
- GWAS analysis implicates NF-κB-mediated induction of inflammatory T cells in multiple sclerosis.Genes and immunity · 2016Article
- Spaceflight alters expression of microRNA during T-cell activation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2015Article
- Combinations of susceptibility genes are associated with higher risk for multiple sclerosis and imply disease course specificity.PloS one · 2015Article
- Translational utility of experimental autoimmune encephalomyelitis: recent developments.Journal of inflammation research · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) underscore the genetic basis of multiple sclerosis (MS); however, only few of the newly reported genetic variations relevant in MS have been replicated or correlated for clinical/paraclinical phenotypes such as spinal cord atrophy in independent patient cohorts. We genotyped 141 MS patients for 58 variations reported to reach significance in GWAS. Expanded disability status scale (EDSS) and disease duration (DD) are available from regular clinical examinations. MRI included sagittal high-resolution 3D T1-weighted magnetization-prepared rapid acquisition gradient echo of the cervical cord region used for volumetry. Due dependency of mean upper cervical cord area (MUCCA) with EDSS and/or DD, correction operations were performed compensating for EDSS/DD. We assessed each MS risk locus for possible MUCCA association. We identified twelve risk loci that significantly correlated with MUCCA. For nine loci-BATF, CYP27B1, IL12B, NFKB1, IL7, PLEK, EVI5, TAGAP and nrs669607-patients revealed significantly higher degree of atrophy; TYK2, RGS1 and CLEC16A revealed inverse effects. The weighted genetic risk score over the twelve loci showed significant correlation with MUCCA. Our data reveal a risk gene depending paraclinical/clinical phenotype. Since MUCCA clearly correlates with disability, the candidates identified here may serve as prognostic markers for disability progression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.