Evidence map›Paper›PMID 28241430›Full record

ReviewInternational journal of molecular sciences2017

The Importance of Endophenotypes to Evaluate the Relationship between Genotype and External Phenotype.

Marinus F W Te Pas, Ole Madsen, Mario P L Calus, Mari A Smits

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. Regulating appetite in broilers for improving body and muscle development - A review.Journal of animal physiology and animal nutrition · 2020
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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

4 authors.

Marinus F W Te PasAnimal Breeding and Genomics Centre, Wageningen UR Livestock Research, 6700AH Wageningen, The Netherlands. marinus.tepas@wur.nl.
Ole MadsenAnimal Breeding and Genomics, Wageningen University, 6700AH Wageningen, The Netherlands. ole.madsen@wur.nl.
Mario P L CalusAnimal Breeding and Genomics Centre, Wageningen UR Livestock Research, 6700AH Wageningen, The Netherlands. mario.calus@wur.nl.
Mari A SmitsAnimal Breeding and Genomics Centre, Wageningen UR Livestock Research, 6700AH Wageningen, The Netherlands. mari.smits@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the exception of a few Mendelian traits, almost all phenotypes (traits) in livestock science are quantitative or complex traits regulated by the expression of many genes. For most of the complex traits, differential expression of genes, rather than genomic variation in the gene coding sequences, is associated with the genotype of a trait. The expression profiles of the animal's transcriptome, proteome and metabolome represent endophenotypes that influence/regulate the externally-observed phenotype. These expression profiles are generated by interactions between the animal's genome and its environment that range from the cellular, up to the husbandry environment. Thus, understanding complex traits requires knowledge about not only genomic variation, but also environmental effects that affect genome expression. Gene products act together in physiological pathways and interaction networks (of pathways). Due to the lack of annotation of the functional genome and ontologies of genes, our knowledge about the various biological systems that contribute to the development of external phenotypes is sparse. Furthermore, interaction with the animals' microbiome, especially in the gut, greatly influences the external phenotype. We conclude that a detailed understanding of complex traits requires not only understanding of variation in the genome, but also its expression at all functional levels.

Indexed as

EndophenotypesGenetic Association StudiesGenotypePhenotypeAnimalsEpigenomicsGene Regulatory NetworksGenomicsLivestockMetabolomicsProteomicsQuantitative Trait, HeritableQuantitative Trait LociSignal Transductionbioinformaticsgenomic variation and environmentintegrationlivestock sciencemetabolomemethylomephenomeproteomesystems biologytranscriptome

Identifiers

PMID28241430
PMCPMC5344004

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.