Evidence map›Paper›PMID 30068600›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Preferences in a trait decision determined by transcription factor variants.

Michael W Dorrity, Josh T Cuperus, Jolie A Carlisle, Stanley Fields, Christine Queitsch

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Kar4 acts as a Ste12 regulator inbioRxiv : the preprint server for biology · 2025
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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

5 authors.

Michael W DorrityDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.
Josh T CuperusDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.
Jolie A CarlisleDepartment of Genome Sciences, University of Washington, Seattle, WA 98195.
Stanley FieldsDepartment of Genome Sciences, University of Washington, Seattle, WA 98195; fields@uw.edu queitsch@uw.edu.
Christine QueitschDepartment of Genome Sciences, University of Washington, Seattle, WA 98195; fields@uw.edu queitsch@uw.edu.ORCID 0000-0002-0905-4705

Funding

A yeast model of complex disease geneticsR01GM114166 · NIGMS · UNIVERSITY OF WASHINGTON · PI QUEITSCH, CHRISTINE · 2015 to 2018
$1.2M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM114166
6 · The paper itself

Abstract

Few mechanisms are known that explain how transcription factors can adjust phenotypic outputs to accommodate differing environments. In

Indexed as

DNA-Binding ProteinsModels, GeneticQuantitative Trait, HeritableResponse ElementsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsAmino Acid SubstitutionMutation, MissenseDNA-Binding ProteinsSaccharomyces cerevisiae ProteinsSTE12 protein, S cerevisiaeTEC1 protein, S cerevisiaeTranscription Factorsevolutionary trade-offfungal invasionfungal matingtranscription factoryeast

Identifiers

PMID30068600
PMCPMC6112720

What OpenQuestion 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 OpenQuestion graph.