Evidence map›Paper›PMID 35077545›Full record

SynthesisHuman molecular genetics2022

Mitochondrial genome-wide analysis of nuclear DNA methylation quantitative trait loci.

Jaakko Laaksonen, Pashupati P Mishra, Ilkka Seppälä, Emma Raitoharju, Saara Marttila, Nina Mononen, Leo-Pekka Lyytikäinen, Marcus E Kleber, Graciela E Delgado, Maija Lepistö and 9 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

19 authors at 6 institutions in 3 countries.

Jaakko LaaksonenDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.ORCID 0000-0003-3577-6928
Pashupati P MishraDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Ilkka SeppäläDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Emma RaitoharjuDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Saara MarttilaMolecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Nina MononenDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Leo-Pekka LyytikäinenDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Marcus E KleberVth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany.
Graciela E DelgadoVth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany.
Maija LepistöInstitute for Molecular Medicine (FIMM), University of Helsinki, Helsinki 00290, Finland.
Henrikki AlmusaInstitute for Molecular Medicine (FIMM), University of Helsinki, Helsinki 00290, Finland.
Pekka EllonenInstitute for Molecular Medicine (FIMM), University of Helsinki, Helsinki 00290, Finland.
Stefan LorkowskiInstitute of Nutritional Sciences, Friedrich Schiller University Jena, Jena 07743, Germany.ORCID 0000-0002-9649-840X
Winfried MärzVth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany.
Nina Hutri-KähönenTampere Centre for Skills Training and Simulation, Tampere University, Tampere 33520, Finland.
Olli RaitakariCentre for Population Health Research, University of Turku and Turku University Hospital, Turku 20520, Finland.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital, Tampere 33520, Finland.
Jukka T SalonenDepartment of Public Health, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Tampere University · FIUniversity of Helsinki · FIHeidelberg University · DEFriedrich Schiller University Jena · DEMedical University of Graz · ATUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria have a complex communication network with the surrounding cell and can alter nuclear DNA methylation (DNAm). Variation in the mitochondrial DNA (mtDNA) has also been linked to differential DNAm. Genome-wide association studies have identified numerous DNAm quantitative trait loci, but these studies have not examined the mitochondrial genome. Herein, we quantified nuclear DNAm from blood and conducted a mitochondrial genome-wide association study of DNAm, with an additional emphasis on sex- and prediabetes-specific heterogeneity. We used the Young Finns Study (n = 926) with sequenced mtDNA genotypes as a discovery sample and sought replication in the Ludwigshafen Risk and Cardiovascular Health study (n = 2317). We identified numerous significant associations in the discovery phase (P < 10-9), but they were not replicated when accounting for multiple testing. In total, 27 associations were nominally replicated with a P < 0.05. The replication analysis presented no evidence of sex- or prediabetes-specific heterogeneity. The 27 associations were included in a joint meta-analysis of the two cohorts, and 19 DNAm sites associated with mtDNA variants, while four other sites showed haplogroup associations. An expression quantitative trait methylation analysis was performed for the identified DNAm sites, pinpointing two statistically significant associations. This study provides evidence of a mitochondrial genetic control of nuclear DNAm with little evidence found for sex- and prediabetes-specific effects. The lack of a comparable mtDNA data set for replication is a limitation in our study and further studies are needed to validate our results.

Indexed as

Genome, MitochondrialPrediabetic StateDNA MethylationDNA, MitochondrialEpigenesis, GeneticGenome-Wide Association StudyHumansQuantitative Trait LociDNA, Mitochondrial

Identifiers

PMID35077545
PMCPMC9122653
OpenAlexW4210595279

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.