Evidence map›Paper›PMID 35134197›Full record

ReviewGenetics2022

Natural genetic variation as a tool for discovery in Caenorhabditis nematodes.

Erik C Andersen, Matthew V Rockman

Open access · hybridAbstract readReview
In one paragraph

Review in Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.8field-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

35 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  6. Article
  7. bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Review
  10. Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Nematode mind: exploring the role of the RNA interference pathway in learning, memory and beyond.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  13. The regulatory architecture of gene expression variation inbioRxiv : the preprint server for biology · 2025
    Article
  14. Conservative evolution of genetic and genomic features inbioRxiv : the preprint server for biology · 2025
    Article
  15. Faster genetic mapping of complex traits inmicroPublication biology · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. 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

2 authors at 2 institutions in 1 country.

Erik C AndersenDepartment of Molecular Biosciences, Northwestern University, Evanston, IL 60201, USA.ORCID 0000-0003-0229-9651
Matthew V RockmanDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA.ORCID 0000-0001-6492-8906
New York University · USNorthwestern University · US

Funding

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
Evolutionary Genetics of Animal DevelopmentR35GM141906 · NIGMS · NEW YORK UNIVERSITY · PI Matthew Rockman · 2021 to 2026
$2.6M
Mechanisms of radiation tolerance in Caenorhabditis from ChernobylR21ES031364 · NIEHS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2020 to 2021
$434k
NIEHS NIH HHS R01 ES029930NIEHS NIH HHS R21 ES031364NIGMS NIH HHS R35 GM141906
6 · The paper itself

Abstract

Over the last 20 years, studies of Caenorhabditis elegans natural diversity have demonstrated the power of quantitative genetic approaches to reveal the evolutionary, ecological, and genetic factors that shape traits. These studies complement the use of the laboratory-adapted strain N2 and enable additional discoveries not possible using only one genetic background. In this chapter, we describe how to perform quantitative genetic studies in Caenorhabditis, with an emphasis on C. elegans. These approaches use correlations between genotype and phenotype across populations of genetically diverse individuals to discover the genetic causes of phenotypic variation. We present methods that use linkage, near-isogenic lines, association, and bulk-segregant mapping, and we describe the advantages and disadvantages of each approach. The power of C. elegans quantitative genetic mapping is best shown in the ability to connect phenotypic differences to specific genes and variants. We will present methods to narrow genomic regions to candidate genes and then tests to identify the gene or variant involved in a quantitative trait. The same features that make C. elegans a preeminent experimental model animal contribute to its exceptional value as a tool to understand natural phenotypic variation.

Indexed as

Caenorhabditis elegansGenetic VariationAnimalsCaenorhabditisChromosome MappingGenetic LinkageGenotypePhenotypeQuantitative Trait LociCaenorhabditisgenetic variationQTL mappingquantitative geneticsrecombinant inbred linesWormBook

Identifiers

PMID35134197
PMCPMC8733454
OpenAlexW4205702565

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.