Evidence map›Paper›PMID 28926971›Full record

ReviewInternational journal of environmental research and public health2017

Mini-Review: The Contribution of Intermediate Phenotypes to GxE Effects on Disorders of Body Composition in the New OMICS Era.

Edna J Nava-Gonzalez, Esther C Gallegos-Cabriales, Irene Leal-Berumen, Raul A Bastarrachea

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 2 countries.

Edna J Nava-GonzalezFacultad de Salud Pública y Nutrición (FASPyN), Universidad Autónoma de Nuevo León, Monterrey 64290, Mexico. ednajnava@hotmail.com.
Esther C Gallegos-CabrialesFacultad de Enfermería, Universidad Autónoma de Nuevo León, Monterrey 64290, Mexico. esther.gallegosc@gmail.com.
Irene Leal-BerumenFacultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua, México 31110, Mexico. ilealb62@yahoo.com.mx.
Raul A BastarracheaDepartment of Genetics and Southwest National Primate Center, Texas Biomedical Research Institute, San Antonio, TX 78227, USA. raul@TxBiomed.org.
Universidad Autónoma de Nuevo León · MXAutonomous University of Chihuahua · MXTexas Biomedical Research Institute · US

Funding

Defining the Normal Range of Postprandial Metabolic Risk: Multi-omic and multi-tissue Analysis after a Mixed MealR56DK114703 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BASTARRACHEA, RAUL A, KENT, JOHN W · 2017 to 2018
$545k
NIDDK NIH HHS R56 DK114703
6 · The paper itself

Abstract

Studies of gene-environment (GxE) interactions describe how genetic and environmental factors influence the risk of developing disease. Intermediate (molecular or clinical) phenotypes (IPs) are traits or metabolic biomarkers that mediate the effects of gene-environment influences on risk behaviors. Functional systems genomics discovery offers mechanistic insights into how DNA variations affect IPs in order to detect genetic causality for a given disease. Disorders of body composition include obesity (OB), Type 2 diabetes (T2D), and osteoporosis (OSTP). These pathologies are examples of how a GxE interaction contributes to their development. IPs as surrogates for inherited genotypes play a key role in models of genetic and environmental interactions in health outcomes. Such predictive models may unravel relevant genomic and molecular pathways for preventive and therapeutic interventions for OB, T2D, and OSTP. Annotation strategies for genomes, in contrast to phenomes, are well advanced. They generally do not measure specific aspects of the environment. Therefore, the concepts of deep phenotyping and the exposome generate new avenues to exploit with high-resolution technologies for analyzing this sophisticated phenome. With the successful characterization of phenomes, exposomes, and genomes, environmental and genetic determinants of chronic diseases can be united with multi-OMICS studies that better examine GxE interactions.

Indexed as

Gene-Environment InteractionPhenotypeBody CompositionDiabetes Mellitus, Type 2HumansObesityOsteoporosisdiabetesexposomeGxE interactionsintermediate phenotypesobesityOMICSosteoporosisphenome

Identifiers

PMID28926971
PMCPMC5615616
OpenAlexW2755789607

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.