Evidence map›Paper›PMID 27244296›Full record

ArticleJAMA neurology2016

Association of HLA Genetic Risk Burden With Disease Phenotypes in Multiple Sclerosis.

Noriko Isobe, Anisha Keshavan, Pierre-Antoine Gourraud, Alyssa H Zhu, Esha Datta, Regina Schlaeger, Stacy J Caillier, Adam Santaniello, Antoine Lizée, Daniel S Himmelstein and 6 more

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
9.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. [Role of HLA genetic variants in autoimmune diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  7. Review
  8. Article
  9. Immunogenetics of Multiple Sclerosis in Romanian Patients: Preliminary Data.International journal of molecular sciences · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Multiscale networks in multiple sclerosis.PLoS computational biology · 2024
    Article
  18. Review
  19. Review
  20. Risk HLA Variants Affect the T-Cell Repertoire in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 2 countries.

Noriko IsobeDepartment of Neurology, School of Medicine, University of California, San Francisco.
Anisha KeshavanDepartment of Neurology, School of Medicine, University of California, San Francisco.
Pierre-Antoine GourraudDepartment of Neurology, School of Medicine, University of California, San Francisco.
Alyssa H ZhuDepartment of Neurology, School of Medicine, University of California, San Francisco.
Esha DattaDepartment of Neurology, School of Medicine, University of California, San Francisco.
Regina SchlaegerDepartment of Neurology, School of Medicine, University of California, San Francisco2Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland.
Stacy J CaillierDepartment of Neurology, School of Medicine, University of California, San Francisco.
Adam SantanielloDepartment of Neurology, School of Medicine, University of California, San Francisco.
Antoine LizéeDepartment of Neurology, School of Medicine, University of California, San Francisco.
Daniel S HimmelsteinDepartment of Neurology, School of Medicine, University of California, San Francisco3Biological and Medical Informatics, University of California, San Francisco.
Sergio E BaranziniDepartment of Neurology, School of Medicine, University of California, San Francisco3Biological and Medical Informatics, University of California, San Francisco.
Jill HollenbachDepartment of Neurology, School of Medicine, University of California, San Francisco.
Bruce A C CreeDepartment of Neurology, School of Medicine, University of California, San Francisco.
Stephen L HauserDepartment of Neurology, School of Medicine, University of California, San Francisco4Institute of Human Genetics, University of California, San Francisco.
Jorge R OksenbergDepartment of Neurology, School of Medicine, University of California, San Francisco4Institute of Human Genetics, University of California, San Francisco.
Roland G HenryDepartment of Neurology, School of Medicine, University of California, San Francisco5Bioengineering Graduate Group, University of California, San Francisco and Berkeley6Department of Radiology and Biomedical Imaging, University of California, San Francisc.
University of California, San Francisco · USUniversity Hospital of Basel · CH

Funding

KIR association studies in neurological diseasesU19NS095774 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERNANDEZ-VINA, MARCELO, OKSENBERG, JORGE R. · 2015 to 2019
$7.0M
GENE LINKAGE STUDY OF MULTIPLE SCLEROSIS SIBLING PAIRSR01NS026799 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAUSER, STEPHEN L, OKSENBERG, JORGE R. · 1989 to 2018
$6.8M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Post GWAS approach to identify cell-specific genetic pathways underlying MS riskR01NS088155 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARANZINI, SERGIO E · 2014 to 2018
$2.2M
NIGMS NIH HHS T32 GM067547NINDS NIH HHS R01 NS026799NINDS NIH HHS R01 NS088155NINDS NIH HHS U19 NS095774
6 · The paper itself

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.

Indexed as

AdultAge of OnsetAllelesBrainCase-Control StudiesCross-Sectional StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHistocompatibility Antigens Class IHumansImaging, Three-DimensionalMaleMiddle AgedMultiple SclerosisPolymorphism, Single NucleotideHistocompatibility Antigens Class I

Identifiers

PMID27244296
PMCPMC5081075
OpenAlexW2411601675

What OpenQuestion holds

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Registered trials

None linked

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.