Evidence map›Paper›PMID 11923913›Full record

ArticleAmerican journal of human genetics2002

Genetic dissection of the human leukocyte antigen region by use of haplotypes of Tasmanians with multiple sclerosis.

Justin P Rubio, Melanie Bahlo, Helmut Butzkueven, Ingrid A F van Der Mei, Michèle M Sale, Joanne L Dickinson, Patricia Groom, Laura J Johnson, Rex D Simmons, Brian Tait and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 93 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Adaptive immune responses in CNS autoimmune disease: mechanisms and therapeutic opportunities.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2013
    Review
  5. Article
  6. Review
  7. Revealing the genetic basis of multiple sclerosis: are we there yet?Current opinion in genetics & development · 2011
    Review
  8. The genetic aspects of multiple sclerosis.Annals of Indian Academy of Neurology · 2009
    Article
  9. Epistasis among HLA-DRB1, HLA-DQA1, and HLA-DQB1 loci determines multiple sclerosis susceptibility.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. The spectrum of multiple sclerosis.Current allergy and asthma reports · 2007
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 1 country.

Justin P RubioWalter and Eliza Hall Institute of Medical Research, and Cooperative Research Centre for Discovery of Genes for Common Human Diseases, Melbourne, Victoria, Australia. rubio@wehi.edu.au
Melanie Bahlo
Helmut Butzkueven
Ingrid A F van Der Mei
Michèle M Sale
Joanne L Dickinson
Patricia Groom
Laura J Johnson
Rex D Simmons
Brian Tait
Mike Varney
Bruce Taylor
Terence Dwyer
Robert Williamson
Nicholas M Gough
Trevor J Kilpatrick
Terence P Speed
Simon J Foote
Walter and Eliza Hall Institute of Medical Research · AUMenzies School of Health Research · AUCanberra Hospital · AUMurdoch Children's Research Institute · AURoyal Hobart Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association of multiple sclerosis (MS) with the human leukocyte antigen (HLA) class II haplotype DRB1*1501-DQB1*0602 is the most consistently replicated finding of genetic studies of the disease. However, the high level of linkage disequilibrium (LD) in the HLA region has hindered the identification of other loci that single-marker tests for association are unlikely to resolve. In order to address this issue, we generated haplotypes spanning 14.754 Mb (5 cM) across the entire HLA region. The haplotypes, which were inferred by genotyping relatives of 152 patients with MS and 105 unaffected control subjects of Tasmanian ancestry, define a genomic segment from D6S276 to D6S291, including 13 microsatellite markers integrated with allele-typing data for DRB1 and DQB1. Association to the DRB1*1501-DQB1*0602 haplotype was replicated. In addition, we found that the class I/extended class I region, defined by a genomic segment of approximately 400 kb between MOGCA and D6S265, harbors genes that independently increase risk of, or provide protection from, MS. Log-linear modeling analysis of constituent haplotypes that represent genomic regions containing class I (MOGCA-D6S265), class III (TNFa-TNFd-D6S273), and class II (DRB1-DQB1) genes indicated that having class I and class II susceptibility variants on the same haplotype provides an additive effect on risk. Moreover, we found no evidence for a disease locus in the class III region defined by a 150-kb genomic segment containing the TNF locus and 14 other genes. A global overview of LD performed using GOLD identified two discrete blocks of LD in the HLA region that correspond well with previous findings. We propose that the analysis of haplotypes, by use of the types of approaches outlined in the present article, should make it possible to more accurately define the contribution of the HLA to MS.

Indexed as

AllelesCase-Control StudiesChromosome MappingFemaleGene FrequencyGenetic MarkersGenetic Predisposition to DiseaseHaplotypesHLA AntigensHLA-D AntigensHumansLeukocytesLinkage DisequilibriumMajor Histocompatibility ComplexMaleModels, GeneticGenetic MarkersHLA AntigensHLA-D Antigens

Identifiers

PMID11923913
PMCPMC447590
OpenAlexW2031393403

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.