Evidence map›Paper›PMID 28183275›Full record

ArticleBMC genomics2017

Diversity and regulatory impact of copy number variation in the primate Macaca fascicularis.

Andreas R Gschwind, Anjali Singh, Ulrich Certa, Alexandre Reymond, Tobias Heckel

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Andreas R GschwindCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Anjali SinghRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, 4070, Basel, Switzerland.
Ulrich CertaRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, 4070, Basel, Switzerland.
Alexandre ReymondCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland. Alexandre.Reymond@unil.ch.
Tobias HeckelRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, 4070, Basel, Switzerland. tobias.heckel@roche.com.
Roche (Switzerland) · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variations (CNVs) are a significant source of genetic diversity and commonly found in mammalian genomes. We have generated a genome-wide CNV map for Cynomolgus monkeys (Macaca fascicularis). This crab-eating macaque is the closest animal model to humans that is used in biomedical research.

resultsWe show that Cynomolgus monkey CNVs are in general much smaller in size than gene loci and are specific to the population of origin. Genome-wide expression data from five vitally important organs demonstrates that CNVs in close proximity to transcription start sites associate strongly with expression changes. Among these eQTL genes we find an overrepresentation of genes involved in metabolism, receptor activity, and transcription.

conclusionThese results provide evidence that CNVs shape tissue transcriptomes in monkey populations, potentially offering an adaptive advantage. We suggest that this genetic diversity should be taken into account when using Cynomolgus macaques as models.

Indexed as

DNA Copy Number VariationsAnimalsGene Expression ProfilingGenotypeMacaca fascicularisQuantitative Trait LociCNVCynomolgus monkeyeQTLGene expressionOlfactory receptors

Identifiers

PMID28183275
PMCPMC5301398
OpenAlexW2587671919

What OpenQuestion holds

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LicenceCC BY
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.