Evidence map›Paper›PMID 26467711›Full record

ReviewBriefings in functional genomics2016

Population perspectives on functional genomic variation in yeast.

Daniel A Skelly, Paul M Magwene

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2016. 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. Article
  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

2 authors.

Daniel A Skelly
Paul M Magwene

Funding

High throughput S. cerevisiae HAM, GWA & QT/QTL architectureR01GM098287 · NIGMS · DUKE UNIVERSITY · PI DIETRICH, FRED S, MAGWENE, PAUL MITAARI · 2011 to 2014
$2.1M
Functional Variation in a Conserved Pathway Influencing Cellular DifferentiationF32GM110997 · NIGMS · DUKE UNIVERSITY · PI SKELLY, DANIEL A · 2014 to 2016
$135k
NIGMS NIH HHS F32GM110997NIGMS NIH HHS R01 GM098287NIGMS NIH HHS R01GM098287
6 · The paper itself

Abstract

Advances in high-throughput sequencing have facilitated large-scale surveys of genomic variation in the budding yeast,Saccharomyces cerevisiae These surveys have revealed extensive sequence variation between yeast strains. However, much less is known about how such variation influences the amount and nature of variation for functional genomic traits within and between yeast lineages. We review population-level studies of functional genomic variation, with a particular focus on how population functional genomic approaches can provide insights into both genome function and the evolutionary process. Although variation in functional genomics phenotypes is pervasive, our understanding of the consequences of this variation, either in physiological or evolutionary terms, is still rudimentary and thus motivates increased attention to appropriate null models. To date, much of the focus of population functional genomic studies has been on gene expression variation, but other functional genomic data types are just as likely to reveal important insights at the population level, suggesting a pressing need for more studies that go beyond transcription. Finally, we discuss how a population functional genomic perspective can be a powerful approach for developing a mechanistic understanding of the processes that link genomic variation to organismal phenotypes through gene networks.

Indexed as

Genetic VariationGenome, FungalEvolution, MolecularFungal ProteinsGenomicsPhenotypeSaccharomyces cerevisiaeTranscription, GeneticYeastsFungal Proteinsevolutiongene expressiongenomicssystems geneticsvariation

Identifiers

PMID26467711
PMCPMC5065358

What OpenQuestion holds

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Registered trials

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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.