Evidence map›Paper›PMID 27936291›Full record

ReviewAnnals of the New York Academy of Sciences2017

Pleiotropy, constraint, and modularity in the evolution of life histories: insights from genomic analyses.

Kimberly A Hughes, Jeff Leips

Open access · greenAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  4. Pathogen growth and virulence dynamics drive the host evolution against coinfections.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  5. Review
  6. Article
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  13. Article
  14. Life-history traits ofEcology and evolution · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Article
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  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 at 2 institutions in 1 country.

Kimberly A HughesDepartment of Biological Science, Florida State University, Tallahassee, Florida.
Jeff LeipsDepartment of Biological Sciences, University of Maryland, Baltimore County, Baltimore, Maryland.
Florida State University · USUniversity of Maryland, Baltimore County · US

Funding

Genetic control of quantitative traits associated with the metabolic syndromeR01DK084219 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DE LUCA, MARIA · 2010 to 2013
$1.3M
GENETIC VARIATION IN MATURATION AND SECONDARY SEX TRAITSF32GM016990 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI HUGHES, KIMBERLY A. · 1994 to 1996
–
NIDDK NIH HHS R01 DK084219NIGMS NIH HHS F32 GM016990
6 · The paper itself

Abstract

Multicellular organisms display an enormous range of life history (LH) strategies and present an evolutionary conundrum; despite strong natural selection, LH traits are characterized by high levels of genetic variation. To understand the evolution of life histories and maintenance of this variation, the specific phenotypic effects of segregating alleles and the genetic networks in which they act need to be elucidated. In particular, the extent to which LH evolution is constrained by the pleiotropy of alleles contributing to LH variation is generally unknown. Here, we review recent empirical results that shed light on this question, with an emphasis on studies employing genomic analyses. While genome-scale analyses are increasingly practical and affordable, they face limitations of genetic resolution and statistical power. We describe new research approaches that we believe can produce new insights and evaluate their promise and applicability to different kinds of organisms. Two approaches seem particularly promising: experiments that manipulate selection in multiple dimensions and measure phenotypic and genomic response and analytical approaches that take into account genome-wide associations between markers and phenotypes, rather than applying a traditional marker-by-marker approach.

Indexed as

Genetic PleiotropyGenetics, PopulationGenetic VariationGenomicsAnimalsBiological EvolutionDrosophila melanogasterGenomeGenome-Wide Association StudyHumansPlantsQuantitative Trait LociSelection, Geneticage-specific variationGWASpopulation genomicsQTLtrade-off

Identifiers

PMID27936291
PMCPMC5318229
OpenAlexW2561916096

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.