Evidence map›Paper›PMID 32665606›Full record

ArticleScientific reports2020

Genomic imprinting analyses identify maternal effects as a cause of phenotypic variability in type 1 diabetes and rheumatoid arthritis.

Inga Blunk, Hauke Thomsen, Norbert Reinsch, Manfred Mayer, Asta Försti, Jan Sundquist, Kristina Sundquist, Kari Hemminki

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. DNA Methylation NearPediatric diabetes · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Imprinted Genes and Multiple Sclerosis: What Do We Know?International journal of molecular sciences · 2021
    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.

Inga BlunkInstitute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany. blunk@fbn-dummerstorf.de.ORCID http://orcid.org/0000-0003-4945-3302
Hauke ThomsenDivision of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Norbert ReinschInstitute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany.
Manfred MayerInstitute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany.
Asta FörstiDivision of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imprinted genes, giving rise to parent-of-origin effects (POEs), have been hypothesised to affect type 1 diabetes (T1D) and rheumatoid arthritis (RA). However, maternal effects may also play a role. By using a mixed model that is able to simultaneously consider all kinds of POEs, the importance of POEs for the development of T1D and RA was investigated in a variance components analysis. The analysis was based on Swedish population-scale pedigree data. With P = 0.18 (T1D) and P = 0.26 (RA) imprinting variances were not significant. Explaining up to 19.00% (± 2.00%) and 15.00% (± 6.00%) of the phenotypic variance, the maternal environmental variance was significant for T1D (P = 1.60 × 10

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAgedArthritis, RheumatoidBiological Variation, PopulationChildChild, PreschoolDiabetes Mellitus, Type 1Epigenesis, GeneticFemaleGenetics, PopulationGenomic ImprintingGenotypeHumansInfant

Identifiers

PMID32665606
PMCPMC7360775

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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.