Evidence map›Paper›PMID 15778901›Full record

ArticleImmunogenetics2005

Evaluation of microsatellite markers in association studies: a search for an immune-related susceptibility gene in sarcoidosis.

Goh Tanaka, Ikumi Matsushita, Jun Ohashi, Naoyuki Tsuchiya, Soichiro Ikushima, Masaru Oritsu, Minako Hijikata, Taiji Nagata, Kazuhiko Yamamoto, Katsushi Tokunaga and 1 more

Abstract read
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In one paragraph

Article in Immunogenetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. A Novel In Vitro Human Granuloma Model of Sarcoidosis and Latent Tuberculosis Infection.American journal of respiratory cell and molecular biology · 2017
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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

11 authors at 4 institutions in 2 countries.

Goh TanakaDepartment of Respiratory Diseases, Research Institute, International Medical Center of Japan, Tokyo 162-8655, Japan.
Ikumi Matsushita
Jun Ohashi
Naoyuki Tsuchiya
Soichiro Ikushima
Masaru Oritsu
Minako Hijikata
Taiji Nagata
Kazuhiko Yamamoto
Katsushi Tokunaga
Naoto Keicho
The University of Tokyo · JPSaitama International Medical Center · JPJapanese Red Cross Medical Center · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association studies using linkage disequilibrium (LD) between candidate loci and nearby markers have been proposed to identify susceptibility genes for complex diseases. We analyzed polymorphisms of microsatellites (MSs) and LD patterns of the regions in which candidate genes related to the Th1 immune response have been annotated and attempted to identify a susceptibility gene for sarcoidosis in a marker-based association study. Nineteen MSs were identified in six Th1-related genes (IFNGR1, IFNGR2, IL12RB1, IL12RB2, STAT1 and STAT4) and then eight were further characterized as useful polymorphic markers. Most of these MSs showed LD with single nucleotide polymorphisms (SNPs) on both 5' and 3' ends of these candidate genes, in which r(2) values between at least one of the MS marker alleles and the SNPs were higher than 0.1. A significant association with one MS allele near STAT4 was shown and a cluster of SNPs in LD with the MS marker was associated with sarcoidosis. These results suggest that association studies using not only SNPs but also multi-allelic MS within or near candidate loci would be useful markers to search for a disease susceptibility gene, especially in populations with unknown LD structure.

Indexed as

Microsatellite RepeatsAdultAllelesBase SequenceCase-Control StudiesDNA-Binding ProteinsDNA, ComplementaryFemaleGenes, MHC Class IIHumansJapanLinkage DisequilibriumMalePolymorphism, GeneticPolymorphism, Single NucleotideSarcoidosisDNA-Binding ProteinsDNA, ComplementarySTAT4 protein, humanSTAT4 Transcription FactorTrans-Activators

Identifiers

PMID15778901
OpenAlexW1985793009

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.