Evidence map›Paper›PMID 26003631›Full record

ReviewBriefings in functional genomics2015

Adaptive potential of genomic structural variation in human and mammalian evolution.

David W Radke, Charles Lee

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Polar bear evolution is marked by rapid changes in gene copy number in response to dietary shift.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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.

David W Radke
Charles Lee

Funding

An Integrative Analysis of Structural Variation for the 1000 Genomes ProjectU41HG007497 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES · 2013 to 2017
$13.0M
NHGRI NIH HHS U41 HG007497
6 · The paper itself

Abstract

Because phenotypic innovations must be genetically heritable for biological evolution to proceed, it is natural to consider new mutation events as well as standing genetic variation as sources for their birth. Previous research has identified a number of single-nucleotide polymorphisms that underlie a subset of adaptive traits in organisms. However, another well-known class of variation, genomic structural variation, could have even greater potential to produce adaptive phenotypes, due to the variety of possible types of alterations (deletions, insertions, duplications, among others) at different genomic positions and with variable lengths. It is from these dramatic genomic alterations, and selection on their phenotypic consequences, that adaptations leading to biological diversification could be derived. In this review, using studies in humans and other mammals, we highlight examples of how phenotypic variation from structural variants might become adaptive in populations and potentially enable biological diversification. Phenotypic change arising from structural variants will be described according to their immediate effect on organismal metabolic processes, immunological response and physical features. Study of population dynamics of segregating structural variation can therefore provide a window into understanding current and historical biological diversification.

Indexed as

Biological EvolutionAdaptation, PhysiologicalAnimalsGenomicsGenomic Structural VariationHumansPhenotypeSelection, Geneticadaptive variantcopy number variationevolutiongenomic structural variationnonpathogenic phenotypesegregating polymorphisms

Identifiers

PMID26003631
PMCPMC6278953

What OpenQuestion holds

Textmetadata
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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.