Evidence map›Paper›PMID 26139839›Full record

ArticleGenetics2015

Multiple-Line Inference of Selection on Quantitative Traits.

Nico Riedel, Bhavin S Khatri, Michael Lässig, Johannes Berg

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Nico RiedelInstitut für Theoretische Physik, University of Cologne, 50937 Köln, Germany nriedel@thp.uni-koeln.de.
Bhavin S KhatriInstitut für Theoretische Physik, University of Cologne, 50937 Köln, Germany.
Michael LässigInstitut für Theoretische Physik, University of Cologne, 50937 Köln, Germany.
Johannes BergInstitut für Theoretische Physik, University of Cologne, 50937 Köln, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trait differences between species may be attributable to natural selection. However, quantifying the strength of evidence for selection acting on a particular trait is a difficult task. Here we develop a population genetics test for selection acting on a quantitative trait that is based on multiple-line crosses. We show that using multiple lines increases both the power and the scope of selection inferences. First, a test based on three or more lines detects selection with strongly increased statistical significance, and we show explicitly how the sensitivity of the test depends on the number of lines. Second, a multiple-line test can distinguish between different lineage-specific selection scenarios. Our analytical results are complemented by extensive numerical simulations. We then apply the multiple-line test to QTL data on floral character traits in plant species of the Mimulus genus and on photoperiodic traits in different maize strains, where we find a signature of lineage-specific selection not seen in two-line tests.

Indexed as

Quantitative Trait LociSelection, GeneticChromosome MappingCrosses, GeneticFlowersGenes, PlantGenetics, PopulationMimulusModels, Genetichypothesis testingnatural selectionquantitative traits

Identifiers

PMID26139839
PMCPMC4566270

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.