Evidence map›Paper›PMID 34229867›Full record

ReviewTrends in genetics : TIG2021

From QTL to gene: C. elegans facilitates discoveries of the genetic mechanisms underlying natural variation.

Kathryn S Evans, Marijke H van Wijk, Patrick T McGrath, Erik C Andersen, Mark G Sterken

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. High-Throughput Toxicity Screening withEnvironmental science & technology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Influences ofFoods (Basel, Switzerland) · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Foods (Basel, Switzerland) · 2024
    Article
  18. Article
  19. High-content phenotypic analysis ofbioRxiv : the preprint server for biology · 2024
    Article
  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

5 authors.

Kathryn S EvansMolecular Biosciences, Northwestern University, Evanston, IL 60208, USA; Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL 60208, USA.
Marijke H van WijkLaboratory of Nematology, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands.
Patrick T McGrathSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Erik C AndersenMolecular Biosciences, Northwestern University, Evanston, IL 60208, USA. Electronic address: erik.andersen@northwestern.edu.
Mark G SterkenLaboratory of Nematology, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands. Electronic address: mark.sterken@wur.nl.

Funding

CELLULAR &MOLECULAR BASIS OF DISEASE TRAINING PROGRAMT32GM008061 · NIGMS · NORTHWESTERN UNIVERSITY · PI CARTHEW, RICHARD W. · 1985 to 2022
$17.1M
Discovery of conserved molecular mechanisms underlying population-wide variation in toxin responsesR01ES029930 · NIEHS · NORTHWESTERN UNIVERSITY · PI ANDERSEN, ERIK CHRISTIAN, BAUGH, LARRY RYAN · 2019 to 2023
$3.2M
Identification of natural variants that influence responses to ethanol in C. elegansR01AA026658 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BETTINGER, JILL C, KAMMENGA, JAN · 2018 to 2022
$1.7M
Mechanistic understanding of age-dependent genetic architectureR01GM114170 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MCGRATH, PATRICK T · 2015 to 2019
$1.5M
NIAAA NIH HHS R01 AA026658NIEHS NIH HHS R01 ES029930NIGMS NIH HHS R01 GM114170NIGMS NIH HHS T32 GM008061
6 · The paper itself

Abstract

Although many studies have examined quantitative trait variation across many species, only a small number of genes and thereby molecular mechanisms have been discovered. Without these data, we can only speculate about evolutionary processes that underlie trait variation. Here, we review how quantitative and molecular genetics in the nematode Caenorhabditis elegans led to the discovery and validation of 37 quantitative trait genes over the past 15 years. Using these data, we can start to make inferences about evolution from these quantitative trait genes, including the roles that coding versus noncoding variation, gene family expansion, common versus rare variants, pleiotropy, and epistasis play in trait variation across this species.

Indexed as

AnimalsCaenorhabditis elegansGenetic VariationModels, AnimalPhenotypeQuantitative Trait LociCaenorhabditis elegansevolutionary geneticsQTGQTLQTVquantitative genetics

Identifiers

PMID34229867
PMCPMC8864365

What OpenQuestion holds

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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.