Evidence map›Paper›PMID 31647416›Full record

ArticleeLife2019

Extensive impact of low-frequency variants on the phenotypic landscape at population-scale.

Téo Fournier, Omar Abou Saada, Jing Hou, Jackson Peter, Elodie Caudal, Joseph Schacherer

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Téo FournierUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.ORCID 0000-0002-4860-6728
Omar Abou SaadaUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
Jing HouUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
Jackson PeterUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
Elodie CaudalUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
Joseph SchachererUniversité de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.ORCID 0000-0002-6606-6884

Funding

Genetic basis of stress tolerance in natural populations of yeastR01GM101091 · NIGMS · UNIVERSITY OF WASHINGTON · PI DUNHAM, MAITREYA J, HESS, DAVID CHARLES · 2012 to 2020
$2.0M
European Research Council Consolidator grants (772505)Fondation pour la Recherche Médicale Graduate student grantNIGMS NIH HHS R01 GM101091NIH HHS R01 GM101091-01
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) allow to dissect complex traits and map genetic variants, which often explain relatively little of the heritability. One potential reason is the preponderance of undetected low-frequency variants. To increase their allele frequency and assess their phenotypic impact in a population, we generated a diallel panel of 3025 yeast hybrids, derived from pairwise crosses between natural isolates and examined a large number of traits. Parental versus hybrid regression analysis showed that while most phenotypic variance is explained by additivity, a third is governed by non-additive effects, with complete dominance having a key role. By performing GWAS on the diallel panel, we found that associated variants with low frequency in the initial population are overrepresented and explain a fraction of the phenotypic variance as well as an effect size similar to common variants. Overall, we highlighted the relevance of low-frequency variants on the phenotypic variation.

Indexed as

Genetic VariationGenome, FungalQuantitative Trait, HeritableQuantitative Trait LociAllelesBiological EvolutionChimeraChromosome MappingCrosses, GeneticPhenotypeSaccharomyces cerevisiaeSelection, Geneticgenetic architecturegeneticsgenomicsGWASlow-frequency variantsS. cerevisiae

Identifiers

PMID31647416
PMCPMC6892612

What OpenQuestion 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 OpenQuestion graph.