Evidence map›Paper›PMID 29183975›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

High-resolution mapping of

Ryosuke Kita, Sandeep Venkataram, Yiqi Zhou, Hunter B Fraser

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

40 citing papers in PubMed, 65 citations in OpenAlex.

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  14. Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 1 institution in 1 country.

Ryosuke KitaDepartment of Biology, Stanford University, Stanford, CA 94305.
Sandeep VenkataramDepartment of Biology, Stanford University, Stanford, CA 94305.
Yiqi ZhouDepartment of Biology, Stanford University, Stanford, CA 94305.
Hunter B FraserDepartment of Biology, Stanford University, Stanford, CA 94305 hbfraser@stanford.edu.
Stanford University · US

Funding

Yeast as a model for understanding gene expression adaptationR01GM097171 · NIGMS · STANFORD UNIVERSITY · PI FRASER, HUNTER B · 2012 to 2024
$4.2M
NIGMS NIH HHS R01 GM097171
6 · The paper itself

Abstract

Genetic variants affecting gene-expression levels are a major source of phenotypic variation. The approximate locations of these variants can be mapped as expression quantitative trait loci (eQTLs); however, a major limitation of eQTLs is their low resolution, which precludes investigation of the causal variants and their molecular mechanisms. Here we report RNA-seq and full genome sequences for 85 diverse isolates of the yeast

Indexed as

Chromosomes, FungalGene Expression Regulation, FungalGenetic VariationQuantitative Trait LociBiofilmsChromosome MappingGenome-Wide Association StudyHumansMycosesRegulatory Sequences, Nucleic AcidRNA, FungalSaccharomyces cerevisiaeSelection, GeneticSequence Analysis, RNARNA, FungaleQTLevolutiongene expressionpopulationyeast

Identifiers

PMID29183975
PMCPMC5740631
OpenAlexW2950680407

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.