Evidence map›Paper›PMID 28931559›Full record

ArticleGenetics2017

Variation in Position Effect Variegation Within a Natural Population.

Keegan J P Kelsey, Andrew G Clark

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

2 authors.

Keegan J P KelseyDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853 kjk86@cornell.edu.ORCID 0000-0002-6384-7220
Andrew G ClarkDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853.

Funding

Heterochromatin and satellite repeat sequence variation in natural populationsR01GM119125 · NIGMS · CORNELL UNIVERSITY · PI BARBASH, DANIEL A, CLARK, ANDREW G · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM119125
6 · The paper itself

Abstract

Changes in chromatin state may drive changes in gene expression, and it is of growing interest to understand the population genetic forces that drive differences in chromatin state. Here, we use the phenomenon of position effect variegation (PEV), a well-studied proxy for chromatin state, to survey variation in PEV among a naturally derived population. Further, we explore the genetic architecture of natural variation in factors that modify PEV. While previous mutation screens have identified over 150 suppressors and enhancers of PEV, it remains unknown to what extent allelic variation in these modifiers mediate interindividual variation in PEV. Is natural variation in PEV mediated by segregating genetic variation in known Su(var) and E(var) genes, or is the trait polygenic, with many variants mapping elsewhere in the genome? We designed a dominant mapping study that directly answers this question and suggests that the bulk of the variance in PEV does not map to genes with prior annotated impact to PEV. Instead, we find enrichment of top

Indexed as

Chromosomal Position EffectsGenetic VariationAnimalsChromatinDrosophilaFemaleGenes, DominantMalePhenotypeChromatinchromatinenhancer of variegationnatural variationphenotypic variancePosition Effect Variegation (PEV)suppressor of variegation

Identifiers

PMID28931559
PMCPMC5676239

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.