Evidence map›Paper›PMID 34603492›Full record

ArticleEvolutionary applications2021

Meta-analysis: Congruence of genomic and phenotypic differentiation across diverse natural study systems.

Zachary T Wood, Andrew K Wiegardt, Kayla L Barton, Jonathan D Clark, Jared J Homola, Brian J Olsen, Benjamin L King, Adrienne I Kovach, Michael T Kinnison

Abstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

9 authors.

Zachary T WoodSchool of Biology and Ecology University of Maine Orono ME USA.ORCID https://orcid.org/0000-0001-7369-9199
Andrew K WiegardtDepartment of Natural Resources and the Environment University of New Hampshire Durham NH USA.
Kayla L BartonDepartment of Molecular & Biomedical Sciences University of Maine Orono ME USA.ORCID https://orcid.org/0000-0001-6446-8997
Jonathan D ClarkDepartment of Natural Resources and the Environment University of New Hampshire Durham NH USA.
Jared J HomolaDepartment of Fisheries and Wildlife Michigan State University East Lansing MI USA.
Brian J OlsenMaine Center for Genetics in the Environment Orono ME USA.
Benjamin L KingDepartment of Molecular & Biomedical Sciences University of Maine Orono ME USA.
Adrienne I KovachDepartment of Natural Resources and the Environment University of New Hampshire Durham NH USA.
Michael T KinnisonSchool of Biology and Ecology University of Maine Orono ME USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linking genotype to phenotype is a primary goal for understanding the genomic underpinnings of evolution. However, little work has explored whether patterns of linked genomic and phenotypic differentiation are congruent across natural study systems and traits. Here, we investigate such patterns with a meta-analysis of studies examining population-level differentiation at subsets of loci and traits putatively responding to divergent selection. We show that across the 31 studies (88 natural population-level comparisons) we examined, there was a moderate (

Indexed as

candidate gene approachesFSTGWASnatural selectionoutlier analysisPST

Identifiers

PMID34603492
PMCPMC8477602

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Registered trials

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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.