Evidence map›Paper›PMID 28824697›Full record

ArticleFrontiers in genetics2017

Environment-Dependent Genotype-Phenotype Associations in Avian Breeding Time.

Phillip Gienapp, Veronika N Laine, A C Mateman, Kees van Oers, Marcel E Visser

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 38 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 1 institution in 1 country.

Phillip GienappDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW)Wageningen, Netherlands.
Veronika N LaineDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW)Wageningen, Netherlands.
A C MatemanDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW)Wageningen, Netherlands.
Kees van OersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW)Wageningen, Netherlands.
Marcel E VisserDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW)Wageningen, Netherlands.
Netherlands Institute of Ecology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how genes shape phenotypes is essential to assess the evolutionary potential of a trait. Identifying the genes underlying quantitative behavioral or life-history traits has, however, proven to be a major challenge. The majority of these traits are phenotypically plastic and different parts of the genome can be involved in shaping the trait under different environmental conditions. These variable genotype-phenotype associations could be one explanation for the limited success of genome-wide association studies in such traits. We here use avian seasonal timing of breeding, a trait that is highly plastic in response to spring temperature, to explore effects of such genotype-by-environment interactions in genome-wide association studies. We genotyped 2045 great tit females for 384081 single nucleotide polymorphisms (SNPs) and recorded their egg-laying dates in the wild. When testing for associations between SNPs and egg-laying dates, no SNP reached genome-wide significance. We then explored whether SNP effects were modified by annual spring temperature by formally testing for an interaction between SNP effect and temperature. The models including the SNP

Indexed as

avian breeding timegenotype-by-environment interactionGWASParus majorphenotypic plasticitywild population

Identifiers

PMID28824697
PMCPMC5543038
OpenAlexW2742981471

What OpenQuestion holds

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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.