Evidence map›Paper›PMID 27804950›Full record

ArticleNature communications2016

Powerful decomposition of complex traits in a diploid model.

Johan Hallin, Kaspar Märtens, Alexander I Young, Martin Zackrisson, Francisco Salinas, Leopold Parts, Jonas Warringer, Gianni Liti

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  19. Bayesian Diallel Analysis RevealsG3 (Bethesda, Md.) · 2018
    Article
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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

8 authors.

Johan HallinInstitute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, 06107 Nice, France.
Kaspar MärtensInstitute of Computer Science, University of Tartu, 50090 Tartu, Estonia.
Alexander I YoungWellcome Trust Centre for Human Genetics, University of Oxford, OX3 7BN Oxford, UK.
Martin ZackrissonDepartment of Chemistry and Molecular Biology, Gothenburg University, 405 30 Gothenburg, Sweden.
Francisco SalinasInstitute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, 06107 Nice, France.ORCID 0000-0002-8391-8145
Leopold PartsInstitute of Computer Science, University of Tartu, 50090 Tartu, Estonia.
Jonas WarringerDepartment of Chemistry and Molecular Biology, Gothenburg University, 405 30 Gothenburg, Sweden.ORCID 0000-0001-6144-2740
Gianni LitiInstitute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, 06107 Nice, France.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Explaining trait differences between individuals is a core and challenging aim of life sciences. Here, we introduce a powerful framework for complete decomposition of trait variation into its underlying genetic causes in diploid model organisms. We sequence and systematically pair the recombinant gametes of two intercrossed natural genomes into an array of diploid hybrids with fully assembled and phased genomes, termed Phased Outbred Lines (POLs). We demonstrate the capacity of this approach by partitioning fitness traits of 6,642 Saccharomyces cerevisiae POLs across many environments, achieving near complete trait heritability and precisely estimating additive (73%), dominance (10%), second (7%) and third (1.7%) order epistasis components. We map quantitative trait loci (QTLs) and find nonadditive QTLs to outnumber (3:1) additive loci, dominant contributions to heterosis to outnumber overdominant, and extensive pleiotropy. The POL framework offers the most complete decomposition of diploid traits to date and can be adapted to most model organisms.

Indexed as

DiploidyModels, GeneticChromosome MappingHybridization, GeneticHybrid VigorQuantitative Trait, HeritableQuantitative Trait LociSaccharomyces cerevisiae

Identifiers

PMID27804950
PMCPMC5097135

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.