Evidence map›Paper›PMID 33179336›Full record

SynthesisJournal of internal medicine2021

Genome-wide search for genes affecting the age at diagnosis of type 1 diabetes.

A Syreeni, N Sandholm, C Sidore, F Cucca, J Haukka, V Harjutsalo, P-H Groop, FinnDiane Study Group

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
0.2field-weighted citation impact, top 50% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Deletion of the T1D risk geneBiochemistry and biophysics reports · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. HLA-CPediatric diabetes · 2025
    Article
  10. Article
  11. Article
  12. Expression levels ofHeliyon · 2024
    Article
  13. Article
  14. Expression Profiles and Bioinformatic Analysis of Circular RNAs in Db/Db Mice with Cardiac Fibrosis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  15. Review
  16. Article
  17. 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

8 authors at 4 institutions in 4 countries.

A SyreeniFrom the, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-1857-2560
N SandholmFrom the, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4322-6942
C SidoreInstituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Italy.ORCID 0000-0001-7504-7477
F CuccaInstituto di Ricerca Genetica e Biomedica, CNR, Monserrato, Italy.ORCID 0000-0002-7414-1995
J HaukkaFrom the, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-5663-0923
V HarjutsaloFrom the, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3568-9779
P-H GroopFrom the, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4055-6954
FinnDiane Study Group
University of Helsinki · FICentre for Human Genetics · GBInstitute of Genetic and Biomedical Research · ITUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) is an autoimmune disease affecting individuals in the early years of life. Although previous studies have identified genetic loci influencing T1D diagnosis age, these studies did not investigate the genome with high resolution. OBJECTIVE AND

methodsWe performed a genome-wide meta-analysis for age at diagnosis with cohorts from Finland (Finnish Diabetic Nephropathy Study), the United Kingdom (UK Genetic Resource Investigating Diabetes) and Sardinia. Through SNP associations, transcriptome-wide association analysis linked T1D diagnosis age and gene expression.

resultsWe identified two chromosomal regions associated with T1D diagnosis age: multiple independent variants in the HLA region on chromosome 6 and a locus on chromosome 17q12. We performed gene-level association tests with transcriptome prediction models from two whole blood datasets, lymphocyte cell line, spleen, pancreas and small intestine tissues. Of the non-HLA genes, lower PNMT expression in whole blood, and higher IKZF3 and ZPBP2, and lower ORMDL3 and GSDMB transcription levels in multiple tissues were associated with lower T1D diagnosis age (FDR = 0.05). These genes lie on chr17q12 which is associated with T1D, other autoimmune diseases, and childhood asthma. Additionally, higher expression of PHF20L1, a gene not previously implicated in T1D, was associated with lower diagnosis age in lymphocytes, pancreas, and spleen. Altogether, the non-HLA associations were enriched in open chromatin in various blood cells, blood vessel tissues and foetal thymus tissue.

conclusionMultiple genes on chr17q12 and PHF20L1 on chr8 were associated with T1D diagnosis age and only further studies may elucidate the role of these genes for immunity and T1D onset.

Indexed as

Age of OnsetGenome-Wide Association StudyDiabetes Mellitus, Type 1Gene Expression ProfilingGenetic Predisposition to DiseaseHumansPolymorphism, Single Nucleotideage of onsetgenome-wide association studytranscriptome-wide association analysistype 1 diabetes

Identifiers

PMID33179336
PMCPMC8247053
OpenAlexW2983849673

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.