Evidence map›Paper›PMID 16624898›Full record

ArticleGenetics2006

Definition of a 1.06-Mb region linked to neuroinflammation in humans, rats and mice.

Johan Ockinger, Pablo Serrano-Fernández, Steffen Möller, Saleh M Ibrahim, Tomas Olsson, Maja Jagodic

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Fine-mapping QTLs in advanced intercross lines and other outbred populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  4. Article
  5. Article
  6. Perspective on the human cough reflex.Cough (London, England) · 2011
    Article
  7. Article
  8. Article
  9. 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

6 authors at 3 institutions in 3 countries.

Johan OckingerCenter for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Sweden. johan.ockinger@ki.se
Pablo Serrano-Fernández
Steffen Möller
Saleh M Ibrahim
Tomas Olsson
Maja Jagodic
Karolinska Institutet · SEUniversity of Rostock · DEInternational Hereditary Cancer Center · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unbiased identification of susceptibility genes might provide new insights into pathogenic mechanisms that govern complex inflammatory diseases such as multiple sclerosis. In this study we fine mapped Eae18a, a region on rat chromosome 10 that regulates experimental autoimmune encephalomyelitis (EAE), an animal model for multiple sclerosis. We utilized two independent approaches: (1) in silico mapping based on sequence similarity between human multiple sclerosis susceptibility regions and rodent EAE quantitative trait loci and (2) linkage mapping in an F10 (DA x PVG.AV1) rat advanced intercrossed line. The linkage mapping defines Eae18a to a 5-Mb region, which overlaps one intergenomic consensus region identified in silico. The combined approach confirms experimentally, for the first time, the accuracy of the in silico method. Moreover, the shared intersection between the results of both mapping techniques defines a 1.06-Mb region containing 13 candidate genes for the regulation of neuroinflammation in humans, rats, and mice.

Indexed as

Chromosome MappingAnimalsAnimals, CongenicEncephalitisEncephalomyelitis, Autoimmune, ExperimentalHumansLod ScoreMiceMultiple SclerosisRatsRats, Inbred Strains

Identifiers

PMID16624898
PMCPMC1526695
OpenAlexW2161589786

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.