Evidence map›Paper›PMID 30374157›Full record

ArticleScientific reports2018

Non-invasive genotyping with a massively parallel sequencing panel for the detection of SNPs in HPA-axis genes.

D R Gutleb, J Ostner, O Schülke, W Wajjwalku, M Sukmak, C Roos, A Noll

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 3 countries.

D R GutlebDepartment of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, University of Goettingen, Göttingen, Germany. daria@gutleb.at.ORCID http://orcid.org/0000-0002-9133-4027
J OstnerDepartment of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, University of Goettingen, Göttingen, Germany.
O SchülkeDepartment of Behavioral Ecology, Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, University of Goettingen, Göttingen, Germany.
W WajjwalkuDepartment of Farm Resources and Production Medicine, Faculty of Veterinary Medicine, Kasetsart University, Nakhon Pathom, Thailand.
M SukmakDepartment of Farm Resources and Production Medicine, Faculty of Veterinary Medicine, Kasetsart University, Nakhon Pathom, Thailand.
C RoosGene Bank of Primates, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.ORCID http://orcid.org/0000-0003-0190-4266
A NollPrimate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany.
German Primate Center · DEKasetsart University · TH

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) OS201/8-1 and 254142454/GRK 2070
6 · The paper itself

Abstract

We designed a genotyping panel for the investigation of the genetic underpinnings of inter-individual differences in aggression and the physiological stress response. The panel builds on single nucleotide polymorphisms (SNPs) in genes involved in the three subsystems of the hypothalamic-pituitary-adrenal (HPA)-axis: the catecholamine, serotonin and corticoid metabolism. To promote the pipeline for use with wild animal populations, we used non-invasively collected faecal samples from a wild population of Assamese macaques (Macaca assamensis). We targeted loci of 46 previously reported SNPs in 21 candidate genes coding for elements of the HPA-axis and amplified and sequenced them using next-generation Illumina sequencing technology. We compared multiple bioinformatics pipelines for variant calling and variant effect prediction. Based on this strategy and the application of different quality thresholds, we identified up to 159 SNPs with different types of predicted functional effects among our natural study population. This study provides a massively parallel sequencing panel that will facilitate integrating large-scale SNP data into behavioural and physiological studies. Such a multi-faceted approach will promote understanding of flexibility and constraints of animal behaviour and hormone physiology.

Indexed as

Polymorphism, Single NucleotideAnimalsComputational BiologyDNAFecesFemaleGenotypeHigh-Throughput Nucleotide SequencingHypothalamo-Hypophyseal SystemMacacaMalePituitary-Adrenal SystemSequence Analysis, DNADNA

Identifiers

PMID30374157
PMCPMC6206064
OpenAlexW2896122862

What OpenQuestion holds

Textmetadata
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.