Evidence map›Paper›PMID 24846842›Full record

ReviewCurrent opinion in genetics & development2014

Epigenetic inheritance of metabolic state.

Rebecca A Somer, Carl S Thummel

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
  6. The Glucagon-Like Adipokinetic Hormone inFrontiers in physiology · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Rebecca A SomerDepartment of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Rm 2100, Salt Lake City, UT 84112, USA.
Carl S ThummelDepartment of Human Genetics, University of Utah School of Medicine, 15 N 2030 E, Rm 2100, Salt Lake City, UT 84112, USA. Electronic address: carl.thummel@genetics.utah.edu.

Funding

Interdisciplinary Training Program in MetabolismT32DK091317 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI SCOTT A SUMMERS · 2011 to 2026
$4.8M
Epigenetic regulation of metabolism in DrosophilaR01DK095346 · NIDDK · UNIVERSITY OF UTAH · PI THUMMEL, CARL S. · 2013 to 2016
$1.1M
NIDDK NIH HHS 1R01 DK095346NIDDK NIH HHS R01 DK095346NIDDK NIH HHS T32 DK091317
6 · The paper itself

Abstract

As the incidence of complex metabolic disease increases in developed countries, so too does the need to understand the causes and risk factors for these disorders. In addition to the well-known contribution of genetics and environment to metabolic dysfunction, many studies have demonstrated that a significant degree of non-genetic heritable risk can be transmitted from parents to offspring over multiple generations. Understanding the mechanisms by which this occurs could change how we study and treat complex metabolic disorders. In this review, we summarize recent advances in this field utilizing Drosophila, mice, and humans, and propose potential molecular mechanisms that underlie the transgenerational inheritance of metabolic state.

Indexed as

Epigenesis, GeneticAnimalsDiabetes MellitusDisease Models, AnimalHumansMetabolic SyndromeObesity

Identifiers

PMID24846842
PMCPMC4125520

What OpenQuestion holds

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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.