Evidence map›Paper›PMID 19143817›Full record

ArticleDiabetes, obesity & metabolism2009

Effect of linkage status of affected sib-pairs on the search for novel type 1 diabetes susceptibility genes in the HLA complex.

G Morahan, M Mehta, E McKinnon, I James, Diabetes Genetics Consortium

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

G MorahanWestern Australian Institute for Medical Research and Centre for Medical Research, University of Western Australia, Perth, Western Australia, Australia. gem@waimr.uwa.edu.au
M Mehta
E McKinnon
I James
Diabetes Genetics Consortium
Royal Perth Hospital · AUUniversity of Western Australia · AU

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
NIDDK NIH HHS U01 DK062418NIDDK NIH HHS UO1 DK062418
6 · The paper itself

Abstract

aimType 1 diabetes susceptibility is influenced by a number of genes, of which those with the strongest effects map to the human leucocyte antigen (HLA) complex. Evidence for linkage of non-HLA genes in several affected sib-pair analyses was increased if the HLA or gender status of the sibs was considered independently. We investigated whether linkage status at the HLA complex differentially affected transmission of alleles to sibs depending on their HLA or gender linkage status.

methodsGenotypes of 2437 markers typed on 11 279 individuals from 2363 families, stratified according to HLA and gender, were examined using the transmission disequilibrium test.

resultsSeveral significant single nucleotide polymorphisms (SNPs) loci were found near the class II genes; no significant SNPs were found by these analyses near the class I or class II genes. Other significant effects were found when the gender of the sibs or the parents was considered. There was not a significant difference in HLA-DRB genotypes between the stratified sets.

conclusionsThese results suggest the presence of novel recessive susceptibility gene(s) within the HLA complex.

Indexed as

Diabetes Mellitus, Type 1FemaleGenes, MHC Class IGenes, MHC Class IIGenes, RecessiveGenetic HeterogeneityGenetic Predisposition to DiseaseGenotypeHLA AntigensHumansLinkage DisequilibriumMalePedigreePolymorphism, Single NucleotideHLA Antigens

Identifiers

PMID19143817
PMCPMC2753859
OpenAlexW2096074324

What OpenQuestion holds

Textmetadata
LicenceTDM
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.