Evidence map›Paper›PMID 32848059›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Detecting selection with a genetic cross.

Hunter B Fraser

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  11. Review
  12. Article
  13. Caution in testing phenotypic selection.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Reply to Zhang and Xu: Environment is indeed important in any phenotypic study.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Hunter B FraserDepartment of Biology, Stanford University, Stanford, CA 94305 hbfraser@stanford.edu.
Stanford University · US

Funding

High-throughput precision genome editing to characterize natural genetic variantsR01GM134228 · NIGMS · STANFORD UNIVERSITY · PI FRASER, HUNTER B · 2019 to 2022
$1.8M
NIGMS NIH HHS R01 GM134228
6 · The paper itself

Abstract

Distinguishing which traits have evolved under natural selection, as opposed to neutral evolution, is a major goal of evolutionary biology. Several tests have been proposed to accomplish this, but these either rely on false assumptions or suffer from low power. Here, I introduce an approach to detecting selection that makes minimal assumptions and only requires phenotypic data from ∼10 individuals. The test compares the phenotypic difference between two populations to what would be expected by chance under neutral evolution, which can be estimated from the phenotypic distribution of an F

Indexed as

Crosses, GeneticModels, GeneticAnimalsCrops, AgriculturalDrosophilaEvolution, MolecularGenetic VariationHumansPhenotypeQuantitative Trait, HeritableQuantitative Trait LociSaccharomyces cerevisiaeSelection, GeneticSkin Pigmentationevolutiongenetic crossnatural selectionvariance

Identifiers

PMID32848059
PMCPMC7486746
OpenAlexW3081089046

What OpenQuestion holds

Textmetadata
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.