Evidence map›Paper›PMID 32160291›Full record

ArticleHuman molecular genetics2020

DNA methylation QTL analysis identifies new regulators of human longevity.

Silke Szymczak, Janina Dose, Guillermo G Torres, Femke-Anouska Heinsen, Geetha Venkatesh, Paul Datlinger, Marianne Nygaard, Jonas Mengel-From, Friederike Flachsbart, Wolfram Klapper and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. The landscape of aging.Science China. Life sciences · 2022
    Review
  3. Article
  4. Role of the mtDNA Mutations and Mitophagy in Inflammaging.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Association ofCells · 2021
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

17 authors at 7 institutions in 3 countries.

Silke SzymczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Janina DoseInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Guillermo G TorresInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Femke-Anouska HeinsenInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Geetha VenkateshInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Paul DatlingerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, A-1090 Vienna, Austria.
Marianne NygaardResearch Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, DK-5000 Odense C, Denmark.
Jonas Mengel-FromResearch Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, DK-5000 Odense C, Denmark.
Friederike FlachsbartInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Wolfram KlapperInstitute of Pathology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Kaare ChristensenResearch Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, DK-5000 Odense C, Denmark.
Wolfgang LiebInstitute of Epidemiology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Stefan SchreiberInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Robert HäslerInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, A-1090 Vienna, Austria.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
Almut NebelInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, D-24105 Kiel, Germany.
University of Lübeck · DEKiel University · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Southern Denmark · DKAustrian Academy of Sciences · ATMedical University of Vienna · ATOdense University Hospital · DK

Funding

TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI YASHIN, ANATOLIY I · 1990 to 2008
$17.5M
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
NIA NIH HHS P01 AG008761NIA NIH HHS R01 AG037985
6 · The paper itself

Abstract

Human longevity is a complex trait influenced by both genetic and environmental factors, whose interaction is mediated by epigenetic mechanisms like DNA methylation. Here, we generated genome-wide whole-blood methylome data from 267 individuals, of which 71 were long-lived (90-104 years), by applying reduced representation bisulfite sequencing. We followed a stringent two-stage analysis procedure using discovery and replication samples to detect differentially methylated sites (DMSs) between young and long-lived study participants. Additionally, we performed a DNA methylation quantitative trait loci analysis to identify DMSs that underlie the longevity phenotype. We combined the DMSs results with gene expression data as an indicator of functional relevance. This approach yielded 21 new candidate genes, the majority of which are involved in neurophysiological processes or cancer. Notably, two candidates (PVRL2, ERCC1) are located on chromosome 19q, in close proximity to the well-known longevity- and Alzheimer's disease-associated loci APOE and TOMM40. We propose this region as a longevity hub, operating on both a genetic (APOE, TOMM40) and an epigenetic (PVRL2, ERCC1) level. We hypothesize that the heritable methylation and associated gene expression changes reported here are overall advantageous for the LLI and may prevent/postpone age-related diseases and facilitate survival into very old age.

Indexed as

Aged, 80 and overApolipoproteins EDNA-Binding ProteinsDNA MethylationEndonucleasesEpigenesis, GeneticEpigenomeFemaleGene Expression RegulationGenome, HumanHumansLongevityMaleMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsNectinsApoE protein, humanApolipoproteins EDNA-Binding ProteinsEndonucleasesERCC1 protein, humanMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsNECTIN2 protein, humanNectinsTOMM40 protein, human

Identifiers

PMID32160291
PMCPMC7206852
OpenAlexW3010910497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.