Evidence map›Paper›PMID 23915718›Full record

ReviewTrends in genetics : TIG2013

How old is my gene?

John A Capra, Maureen Stolzer, Dannie Durand, Katherine S Pollard

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. GETdb: A comprehensive database for genetic and evolutionary features of drug targets.Computational and structural biotechnology journal · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Decoding the effects of synonymous variants.Nucleic acids research · 2021
    Article
  12. Cancer progression as a sequence of atavistic reversions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2021
    Article
  13. Article
  14. Article
  15. Autism risk genes are evolutionarily ancient and maintain a unique feature landscape that echoes their function.Autism research : official journal of the International Society for Autism Research · 2019
    Article
  16. Article
  17. The Evolutionary Traceability of a Protein.Genome biology and evolution · 2019
    Article
  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

4 authors.

John A CapraCenter for Human Genetics Research and Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, USA.
Maureen Stolzer
Dannie Durand
Katherine S Pollard

Funding

The Epigenetic Landscape of Heart DevelopmentU01HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BOYER, LAURIE A, BRUNEAU, BENOIT GAETAN · 2009 to 2014
$10.0M
The Epigenetic Landscape of Heart DevelopmentUM1HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BRUNEAU, BENOIT GAETAN, POLLARD, KATHERINE S. · 2015 to 2019
$4.7M
NHLBI NIH HHS HL098179NHLBI NIH HHS U01 HL098179NHLBI NIH HHS UM1 HL098179
6 · The paper itself

Abstract

Gene functions, interactions, disease associations, and ecological distributions are all correlated with gene age. However, it is challenging to estimate the intricate series of evolutionary events leading to a modern-day gene and then to reduce this history to a single age estimate. Focusing on eukaryotic gene families, we introduce a framework that can be used to compare current strategies for quantifying gene age, discuss key differences between these methods, and highlight several common problems. We argue that genes with complex evolutionary histories do not have a single well-defined age. As a result, care must be taken to articulate the goals and assumptions of any analysis that uses gene age estimates. Recent algorithmic advances offer the promise of gene age estimates that are fast, accurate, and consistent across gene families. This will enable a shift to integrated genome-wide analyses of all events in gene evolutionary histories in the near future.

Indexed as

Evolution, MolecularModels, GeneticComputational BiologyDatabases, GeneticGenesPaleontologyPhylogenyeukaryotesgene agemolecular clockphylogenetics

Identifiers

PMID23915718
PMCPMC3812327

What OpenQuestion holds

Textmetadata
LicenceTDM
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.