Evidence map›Paper›PMID 24614309›Full record

ReviewNature reviews. Genetics2014

Cryptic genetic variation: evolution's hidden substrate.

Annalise B Paaby, Matthew V Rockman

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 224 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 1 pooled it
35.7field-weighted citation impact, top 1% 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

224 citing papers in PubMed, 1 synthesis or guideline pooled it, 528 citations in OpenAlex.

  1. Pooled it
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  19. Cryptic genetic variation in brain gene expression precedes the evolution of cannibalism in spadefoot toad tadpoles.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

164 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Annalise B PaabyDepartment of Biology, and Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York 10003, USA.
Matthew V RockmanDepartment of Biology, and Center for Genomics and Systems Biology, New York University, 12 Waverly Place, New York 10003, USA.
New York University · US

Funding

Discovery and Characterization of Quantitative Trait NucleotidesR01GM089972 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2009 to 2013
$1.5M
Discovering buffered developmental networks underlying C. elegans embryogenesisF32GM090557 · NIGMS · NEW YORK UNIVERSITY · PI PAABY, ANNALISE BLOSS · 2010 to 2012
$115k
NIGMS NIH HHS F32 GM090557NIGMS NIH HHS R01 GM089972NIGMS NIH HHS R01GM089972
6 · The paper itself

Abstract

Cryptic genetic variation (CGV) is invisible under normal conditions, but it can fuel evolution when circumstances change. In theory, CGV can represent a massive cache of adaptive potential or a pool of deleterious alleles that are in need of constant suppression. CGV emerges from both neutral and selective processes, and it may inform about how human populations respond to change. CGV facilitates adaptation in experimental settings, but does it have an important role in the real world? Here, we review the empirical support for widespread CGV in natural populations, including its potential role in emerging human diseases and the growing evidence of its contribution to evolution.

Indexed as

Evolution, MolecularGenetic VariationAdaptation, BiologicalAnimalsEpigenesis, GeneticEpistasis, GeneticGene-Environment InteractionHumansModels, GeneticPhenotypeSelection, Genetic

Identifiers

PMID24614309
PMCPMC4737706
OpenAlexW2053817355

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.