Evidence map›Paper›PMID 30679259›Full record

ArticleGenetics2019

Detecting Adaptive Differentiation in Structured Populations with Genomic Data and Common Gardens.

Emily B Josephs, Jeremy J Berg, Jeffrey Ross-Ibarra, Graham Coop

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluating the roles of drift and selection in trait loss along an elevational gradient.Evolution; international journal of organic evolution · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Error rates inbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Local adaptation: Causal agents of selection and adaptive trait divergence.Annual review of ecology, evolution, and systematics · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 275 years of forestry meets genomics inEvolutionary applications · 2020
    Review
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

4 authors.

Emily B JosephsDepartment of Evolution and Ecology, University of California, Davis, California 95616 josep993@msu.edu.
Jeremy J BergDepartment of Biological Sciences, Columbia University, New York, New York 10027.
Jeffrey Ross-IbarraDepartment of Plant Sciences, University of California, Davis, California 95616.ORCID 0000-0003-1656-4954
Graham CoopDepartment of Evolution and Ecology, University of California, Davis, California 95616.ORCID 0000-0001-8431-0302

Funding

Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
Population genetic modeling of the genetic architecture of complex diseaseF32GM126787 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BERG, JEREMY JACKSON · 2018 to 2018
$55k
NIGMS NIH HHS F32 GM126787NIGMS NIH HHS R01 GM108779
6 · The paper itself

Abstract

Adaptation in quantitative traits often occurs through subtle shifts in allele frequencies at many loci-a process called polygenic adaptation. While a number of methods have been developed to detect polygenic adaptation in human populations, we lack clear strategies for doing so in many other systems. In particular, there is an opportunity to develop new methods that leverage datasets with genomic data and common garden trait measurements to systematically detect the quantitative traits important for adaptation. Here, we develop methods that do just this, using principal components of the relatedness matrix to detect excess divergence consistent with polygenic adaptation, and using a conditional test to control for confounding effects due to population structure. We apply these methods to inbred maize lines from the United States Department of Agriculture germplasm pool and maize landraces from Europe. Ultimately, these methods can be applied to additional domesticated and wild species to give us a broader picture of the specific traits that contribute to adaptation and the overall importance of polygenic adaptation in shaping quantitative trait variation.

Indexed as

EcosystemModels, GeneticAdaptation, PhysiologicalEvolution, MolecularGenome, PlantMultifactorial InheritanceQuantitative Trait, HeritableZea maysLocal adaptationmaizepolygenic adaptationpopulation geneticsquantitative genetics

Identifiers

PMID30679259
PMCPMC6404252

What OpenQuestion holds

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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.