Evidence map›Paper›PMID 21660115›Full record

ArticlePersonalized medicine2011

Genotype-environment interactions and their translational implications.

Tesfaye M Baye, Tilahun Abebe, Russell A Wilke

Abstract read
In one paragraph

Article in Personalized medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  14. Current State of Modeling Human Psychiatric Disorders Using Zebrafish.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
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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

3 authors.

Tesfaye M BayeCincinnati Children's Hospital Medical Center, Division of Asthma Research, Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.
Tilahun Abebe
Russell A Wilke

Funding

Pharmacogenetics of obesity and endocannabinergic modulation (POEM)R01DK080007 · NIDDK · VANDERBILT UNIVERSITY · PI WILKE, RUSSELL A. · 2009 to 2012
$1.2M
Admixture mapping in African American Asthmatic ChildrenK01HL103165 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2010 to 2014
$648k
NHLBI NIH HHS K01 HL103165NIDDK NIH HHS R01 DK080007
6 · The paper itself

Abstract

Organisms frequently encounter different environmental conditions. The physiological and behavioral responses to these conditions depend on the genetic make up of individuals. Genotype generally remains constant from one environment to another, although occasional spontaneous mutations may occur which cause it to change. However, when the same genotype is subjected to different environments, it can produce a wide range of phenotypes. These phenotypic variations are attributable to the effect of the environment on the expression and function of genes influencing the trait. Changes in the relative performance of genotypes across different environments are referred to as genotype-environment interactions (GEI). A general argument for research on the impact of GEI in common diseases is that it provides insights into disease processes at the population, individual and molecular levels. In humans, GEI is complicated by multiple factors including phenocopies, genocopies, epigenetics and imprinting. A better understanding of GEI is essential if patients are to make informed health choices guided by their genomic information. In this article, we clarify the role of the environment on phenotype, we describe how human population structure can obscure the resolution of GEI and we discuss how emerging biobanks across the globe can be coordinated to further our understanding of genotype-phenotype associations within the context of varying environment.

Identifiers

PMID21660115
PMCPMC3108095

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Registered trials

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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.