Evidence map›Paper›PMID 22932816›Full record

ArticleGenes and immunity2012

A strategy for combining minor genetic susceptibility genes to improve prediction of disease in type 1 diabetes.

C Winkler, J Krumsiek, J Lempainen, P Achenbach, H Grallert, E Giannopoulou, M Bunk, F J Theis, E Bonifacio, A-G Ziegler

Abstract read
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In one paragraph

Article in Genes and immunity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 67 citations in OpenAlex.

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  14. Exercise and Type 1 Diabetes.Advances in experimental medicine and biology · 2020
    Review
  15. Review
  16. Genetic aspects of type 1 diabetes.Annals of pediatric endocrinology & metabolism · 2019
    Article
  17. Review
  18. Article
  19. Review
  20. Clinical and research uses of genetic risk scores in type 1 diabetes.Current opinion in genetics & development · 2018
    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

10 authors at 6 institutions in 2 countries.

C WinklerInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität, München, Germany.
J Krumsiek
J Lempainen
P Achenbach
H Grallert
E Giannopoulou
M Bunk
F J Theis
E Bonifacio
A-G Ziegler
Helmholtz Zentrum München · DEKlinikum rechts der Isar · DEGerman Center for Diabetes Research · DEInstitute of Bioinformatics and Systems Biology · DETechnical University of Munich · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies have identified gene regions associated with type 1 diabetes. The aim of this study was to determine how the combined allele frequency of multiple susceptibility genes can stratify islet autoimmunity and/or type 1 diabetes risk. Children of parents with type 1 diabetes and prospectively followed from birth for the development of islet autoantibodies and diabetes were genotyped for single-nucleotide polymorphisms at 12 type 1 diabetes susceptibility genes (ERBB3, PTPN2, IFIH1, PTPN22, KIAA0350, CD25, CTLA4, SH2B3, IL2, IL18RAP, IL10 and COBL). Non-human leukocyte antigen (HLA) risk score was defined by the total number of risk alleles at these genes. Receiver operator curve analysis showed that the non-HLA gene combinations were highly effective in discriminating diabetes and most effective in children with a high-risk HLA genotype. The greatest diabetes discrimination was obtained by the sum of risk alleles for eight genes (IFIH1, CTLA4, PTPN22, IL18RAP, SH2B3, KIAA0350, COBL and ERBB3) in the HLA-risk children. Non-HLA-risk allele scores stratified risk for developing islet autoantibodies and diabetes, and progression from islet autoimmunity to diabetes. Genotyping at multiple susceptibility loci in children from affected families can identify neonates with sufficient genetic risk of type 1 diabetes to be considered for early intervention.

Indexed as

Genetic Predisposition to DiseaseAdolescentChildChild, PreschoolDiabetes Mellitus, Type 1Gene FrequencyGenetic LociHLA AntigensHumansInfantPolymorphism, Single NucleotideProspective StudiesYoung AdultHLA Antigens

Identifiers

PMID22932816
OpenAlexW2056911105

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.