ArticleJAMA neurology2016
Association of HLA Genetic Risk Burden With Disease Phenotypes in Multiple Sclerosis.
Article in JAMA neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.
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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.
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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.
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Who cites it
47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 88 citations in OpenAlex.
- The HLA paradox across populations in multiple sclerosis progression: a systematic review.BMC neurology · 2026Pooled it
- Human leukocyte antigen (HLA) class I and II genetic relationships with brain imaging measures: A systematic review and meta-analysis.Brain, behavior, and immunity · 2025Pooled it
- Early complement genes are associated with visual system degeneration in multiple sclerosis.Brain : a journal of neurology · 2019Pooled it
- High Resolution Haplotype Analyses of Classical HLA Genes in Families With Multiple Sclerosis Highlights the Role of HLA-DP Alleles in Disease Susceptibility.Frontiers in immunology · 2021Trial
- Personalized medicine as a novel therapeutic approach for autoimmune diseases: new insights and future prospects.Osong public health and research perspectives · 2026Article
- [Role of HLA genetic variants in autoimmune diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Review
- Genetic Prognostic Factors in Multiple Sclerosis: Key Discoveries and Unmet Needs.International journal of molecular sciences · 2026Review
- HLA-DRB1*15:01 is associated with a reduced likelihood of longevity in northern European men.Genome medicine · 2025Article
- Immunogenetics of Multiple Sclerosis in Romanian Patients: Preliminary Data.International journal of molecular sciences · 2025Article
- Defining the genetic determinants of CD8Science advances · 2025Article
- Association of HLA-DRA, HLA-DQA1, and IL-6 gene variations with susceptibility to multiple sclerosis.Molecular biology reports · 2025Article
- The Polygenic Nature of Multiple Sclerosis: Genetic Variants, Immunological Modulation, and Environmental Connections.Endocrine, metabolic & immune disorders drug targets · 2025Review
- Review
- Analysis of CNS autoimmunity in genetically diverse mice reveals unique phenotypes and mechanisms.JCI insight · 2024Article
- Spatial correspondence among regional gene expressions and gray matter volume loss in multiple sclerosis.Molecular psychiatry · 2024Article
- Predicting disease severity in multiple sclerosis using multimodal data and machine learning.Journal of neurology · 2024Article
- Multiscale networks in multiple sclerosis.PLoS computational biology · 2024Article
- Methyl-CpG-Binding Protein 2 Emerges as a Central Player in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders.Cellular and molecular neurobiology · 2023Review
- Review
- Risk HLA Variants Affect the T-Cell Repertoire in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2023Article
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Authors and funding
16 authors at 2 institutions in 2 countries.
Funding
Abstract
importanceAlthough multiple HLA alleles associated with multiple sclerosis (MS) risk have been identified, genotype-phenotype studies in the HLA region remain scarce and inconclusive.
objectivesTo investigate whether MS risk-associated HLA alleles also affect disease phenotypes. DESIGN, SETTING, AND
participantsA cross-sectional, case-control study comprising 652 patients with MS who had comprehensive phenotypic information and 455 individuals of European origin serving as controls was conducted at a single academic research site. Patients evaluated at the Multiple Sclerosis Center at University of California, San Francisco between July 2004 and September 2005 were invited to participate. Spinal cord imaging in the data set was acquired between July 2013 and March 2014; analysis was performed between December 2014 and December 2015. MAIN OUTCOMES AND MEASURES: Cumulative HLA genetic burden (HLAGB) calculated using the most updated MS-associated HLA alleles vs clinical and magnetic resonance imaging outcomes, including age at onset, disease severity, conversion time from clinically isolated syndrome to clinically definite MS, fractions of cortical and subcortical gray matter and cerebral white matter, brain lesion volume, spinal cord gray and white matter areas, upper cervical cord area, and the ratio of gray matter to the upper cervical cord area. Multivariate modeling was applied separately for each sex data set.
resultsOf the 652 patients with MS, 586 had no missing genetic data and were included in the HLAGB analysis. In these 586 patients (404 women [68.9%]; mean [SD] age at disease onset, 33.6 [9.4] years), HLAGB was higher than in controls (median [IQR], 0.7 [0-1.4] and 0 [-0.3 to 0.5], respectively; P = 1.8 × 10-27). A total of 619 (95.8%) had relapsing-onset MS and 27 (4.2%) had progressive-onset MS. No significant difference was observed between relapsing-onset MS and primary progressive MS. A higher HLAGB was associated with younger age at onset and the atrophy of subcortical gray matter fraction in women with relapsing-onset MS (standard β = -1.20 × 10-1; P = 1.7 × 10-2 and standard β = -1.67 × 10-1; P = 2.3 × 10-4, respectively), which were driven mainly by the HLA-DRB1*15:01 haplotype. In addition, we observed the distinct role of the HLA-A*24:02-B*07:02-DRB1*15:01 haplotype among the other common DRB1*15:01 haplotypes and a nominally protective effect of HLA-B*44:02 to the subcortical gray atrophy (standard β = -1.28 × 10-1; P = 5.1 × 10-3 and standard β = 9.52 × 10-2; P = 3.6 × 10-2, respectively). CONCLUSIONS AND RELEVANCE: We confirm and extend previous observations linking HLA MS susceptibility alleles with disease progression and specific clinical and magnetic resonance imaging phenotypic traits.
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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.