Evidence map›Paper›PMID 29066469›Full record

ArticleGenetics2017

Polygenicity and Epistasis Underlie Fitness-Proximal Traits in the

Luke M Noble, Ivo Chelo, Thiago Guzella, Bruno Afonso, David D Riccardi, Patrick Ammerman, Adel Dayarian, Sara Carvalho, Anna Crist, Ania Pino-Querido and 3 more

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  5. Article
  6. Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Evolution letters · 2025
    Article
  9. Article
  10. The regulatory architecture of gene expression variation inbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Luke M NobleCenter for Genomics and Systems Biology, Department of Biology, New York University, New York 10003 lmn3@nyu.edu mrockman@nyu.edu teotonio@biologie.ens.fr.ORCID 0000-0002-5161-4059
Ivo CheloInstituto Gulbenkian de Ciência, P-2781-901 Oeiras, Portugal.ORCID 0000-0002-5414-6625
Thiago GuzellaInstitut de Biologie, École Normale Supérieure, Centre National de la Recherche Scientifique (CNRS) UMR 8197, Institut National de la Santé et de la Recherche Médicale (INSERM) U1024, F-75005 Paris, France.
Bruno AfonsoInstituto Gulbenkian de Ciência, P-2781-901 Oeiras, Portugal.
David D RiccardiCenter for Genomics and Systems Biology, Department of Biology, New York University, New York 10003.
Patrick AmmermanCenter for Genomics and Systems Biology, Department of Biology, New York University, New York 10003.
Adel DayarianKavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106.
Sara CarvalhoInstituto Gulbenkian de Ciência, P-2781-901 Oeiras, Portugal.
Anna CristInstitut de Biologie, École Normale Supérieure, Centre National de la Recherche Scientifique (CNRS) UMR 8197, Institut National de la Santé et de la Recherche Médicale (INSERM) U1024, F-75005 Paris, France.
Ania Pino-QueridoInstituto Gulbenkian de Ciência, P-2781-901 Oeiras, Portugal.
Boris ShraimanKavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106.ORCID 0000-0003-0886-8990
Matthew V RockmanCenter for Genomics and Systems Biology, Department of Biology, New York University, New York 10003 lmn3@nyu.edu mrockman@nyu.edu teotonio@biologie.ens.fr.ORCID 0000-0001-6492-8906
Henrique TeotónioInstitut de Biologie, École Normale Supérieure, Centre National de la Recherche Scientifique (CNRS) UMR 8197, Institut National de la Santé et de la Recherche Médicale (INSERM) U1024, F-75005 Paris, France lmn3@nyu.edu mrockman@nyu.edu teotonio@biologie.ens.fr.

Funding

KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
Discovery and Characterization of Quantitative Trait NucleotidesR01GM089972 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2009 to 2013
$1.5M
Genetic analysis of segregating recessive variationR01GM121828 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2017 to 2020
$1.5M
NIGMS NIH HHS R01 GM089972NIGMS NIH HHS R01 GM121828NIGMS NIH HHS R25 GM067110
6 · The paper itself

Abstract

Understanding the genetic basis of complex traits remains a major challenge in biology. Polygenicity, phenotypic plasticity, and epistasis contribute to phenotypic variance in ways that are rarely clear. This uncertainty can be problematic for estimating heritability, for predicting individual phenotypes from genomic data, and for parameterizing models of phenotypic evolution. Here, we report an advanced recombinant inbred line (RIL) quantitative trait locus mapping panel for the hermaphroditic nematode

Indexed as

Evolution, MolecularGenetic FitnessAllelesAnimalsCaenorhabditis elegansCrosses, GeneticEpistasis, GeneticHybridization, GeneticInbreedingMultifactorial InheritancePhenotypePolymorphism, Single NucleotideQuantitative Trait LociSelection, Geneticbody sizecomplex traitepistasisexperimental evolutionfertilitygenetic architectureGWASheritabilityMPPMultiparent Advanced Generation Inter-Cross (MAGIC)multiparental populationspolygenicityQTLquantitative traitselfing

Identifiers

PMID29066469
PMCPMC5714472

What Socratic 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 Socratic graph.