Evidence map›Paper›PMID 15720714›Full record

ArticleBMC genetics2005

Construction and analysis of tag single nucleotide polymorphism maps for six human-mouse orthologous candidate genes in type 1 diabetes.

Lisa M Maier, Deborah J Smyth, Adrian Vella, Felicity Payne, Jason D Cooper, Rebecca Pask, Christopher Lowe, John Hulme, Luc J Smink, Heather Fraser and 15 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Genetic susceptibility to autoimmune liver disease.World journal of hepatology · 2011
    Article
  7. Article
  8. Article
  9. Article
  10. Genetic epidemiology of type 1 diabetes.Current diabetes reports · 2006
    Review
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

25 authors at 8 institutions in 3 countries.

Lisa M MaierJuvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Hills Road, Cambridge, UK. lisa.maier@cimr.cam.ac.uk
Deborah J Smyth
Adrian Vella
Felicity Payne
Jason D Cooper
Rebecca Pask
Christopher Lowe
John Hulme
Luc J Smink
Heather Fraser
Carolyn Moule
Kara M Hunter
Giselle Chamberlain
Neil Walker
Sarah Nutland
Dag E Undlien
Kjersti S Rønningen
Cristian Guja
Constantin Ionescu-Tîrgoviste
David A Savage
David P Strachan
Laurence B Peterson
John A Todd
Linda S Wicker
Rebecca C Twells
Juvenile Diabetes Research Foundation · GBWellcome Trust · GBUniversity of Cambridge · GBMerck & Co., Inc., Rahway, NJ, USA (United States) · USNorwegian Institute of Public Health · NOOslo University Hospital · NOQueen's University Belfast · GBSt George's, University of London · GB

Funding

Medical Research Council G0000934Wellcome Trust
6 · The paper itself

Abstract

backgroundOne strategy to help identify susceptibility genes for complex, multifactorial diseases is to map disease loci in a representative animal model of the disorder. The nonobese diabetic (NOD) mouse is a model for human type 1 diabetes. Linkage and congenic strain analyses have identified several NOD mouse Idd (insulin dependent diabetes) loci, which have been mapped to small chromosome intervals, for which the orthologous regions in the human genome can be identified. Here, we have conducted re-sequencing and association analysis of six orthologous genes identified in NOD Idd loci: NRAMP1/SLC11A1 (orthologous to Nramp1/Slc11a1 in Idd5.2), FRAP1 (orthologous to Frap1 in Idd9.2), 4-1BB/CD137/TNFRSF9 (orthologous to 4-1bb/Cd137/Tnrfrsf9 in Idd9.3), CD101/IGSF2 (orthologous to Cd101/Igsf2 in Idd10), B2M (orthologous to B2m in Idd13) and VAV3 (orthologous to Vav3 in Idd18).

resultsRe-sequencing of a total of 110 kb of DNA from 32 or 96 type 1 diabetes cases yielded 220 single nucleotide polymorphisms (SNPs). Sixty-five SNPs, including 54 informative tag SNPs, and a microsatellite were selected and genotyped in up to 1,632 type 1 diabetes families and 1,709 cases and 1,829 controls.

conclusionNone of the candidate regions showed evidence of association with type 1 diabetes (P values > 0.2), indicating that common variation in these key candidate genes does not play a major role in type 1 diabetes susceptibility in the European ancestry populations studied.

Indexed as

Chromosome MappingPolymorphism, Single NucleotideAnimalsCase-Control StudiesDiabetes Mellitus, Type 1Family HealthGenetic Predisposition to DiseaseGenotypeHumansMiceMice, Inbred NODOpen Reading FramesPolymorphism, GeneticSequence Analysis, DNAUntranslated RegionsWhite PeopleUntranslated Regions

Identifiers

PMID15720714
PMCPMC551616
OpenAlexW1794266713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.