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Gene × environment interactions in obesity: the state of the evidence.

Ahmad, Shafqat LU ; V Varga, Tibor LU and Franks, Paul LU (2013) In Human Heredity 75(2-4). p.106-115
Abstract
Background/Aims: Obesity is a pervasive and highly prevalent disease that poses substantial health risks to those it affects. The rapid emergence of obesity as a global epidemic and the patterns and distributions of the condition within and between populations suggest that interactions between inherited biological factors (e.g. genes) and relevant environmental factors (e.g. diet and physical activity) may underlie the current obesity epidemic. Methods: We discuss the rationale for the assertion that gene × lifestyle interactions cause obesity, systematically appraise relevant literature, and consider knowledge gaps future studies might seek to bridge. Results: We identified >200 relevant studies, of which most are relatively small... (More)
Background/Aims: Obesity is a pervasive and highly prevalent disease that poses substantial health risks to those it affects. The rapid emergence of obesity as a global epidemic and the patterns and distributions of the condition within and between populations suggest that interactions between inherited biological factors (e.g. genes) and relevant environmental factors (e.g. diet and physical activity) may underlie the current obesity epidemic. Methods: We discuss the rationale for the assertion that gene × lifestyle interactions cause obesity, systematically appraise relevant literature, and consider knowledge gaps future studies might seek to bridge. Results: We identified >200 relevant studies, of which most are relatively small scale and few provide replication data. Conclusion: Although studies on gene × lifestyle interactions in obesity point toward the presence of such interactions, improved data standardization, appropriate pooling of data and resources, innovative study designs, and the application of powerful statistical methods will be required if translatable examples of gene × lifestyle interactions in obesity are to be identified. Future studies, of which most will be observational, should ideally be accompanied by appropriate replication data and, where possible, by analogous findings from experimental settings where clinically relevant traits (e.g. weight regain and weight cycling) are outcomes. © 2013 S. Karger AG, Basel. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Human Heredity
volume
75
issue
2-4
pages
106 - 115
publisher
Karger
external identifiers
  • wos:000325236000005
  • pmid:24081226
  • scopus:84885011484
  • pmid:24081226
ISSN
1423-0062
DOI
10.1159/000351070
language
English
LU publication?
yes
id
257a193d-7834-419b-8d91-a15ef22a0fd1 (old id 4143803)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/24081226?dopt=Abstract
date added to LUP
2016-04-01 10:53:26
date last changed
2022-04-28 02:40:33
@article{257a193d-7834-419b-8d91-a15ef22a0fd1,
  abstract     = {{Background/Aims: Obesity is a pervasive and highly prevalent disease that poses substantial health risks to those it affects. The rapid emergence of obesity as a global epidemic and the patterns and distributions of the condition within and between populations suggest that interactions between inherited biological factors (e.g. genes) and relevant environmental factors (e.g. diet and physical activity) may underlie the current obesity epidemic. Methods: We discuss the rationale for the assertion that gene × lifestyle interactions cause obesity, systematically appraise relevant literature, and consider knowledge gaps future studies might seek to bridge. Results: We identified >200 relevant studies, of which most are relatively small scale and few provide replication data. Conclusion: Although studies on gene × lifestyle interactions in obesity point toward the presence of such interactions, improved data standardization, appropriate pooling of data and resources, innovative study designs, and the application of powerful statistical methods will be required if translatable examples of gene × lifestyle interactions in obesity are to be identified. Future studies, of which most will be observational, should ideally be accompanied by appropriate replication data and, where possible, by analogous findings from experimental settings where clinically relevant traits (e.g. weight regain and weight cycling) are outcomes. © 2013 S. Karger AG, Basel.}},
  author       = {{Ahmad, Shafqat and V Varga, Tibor and Franks, Paul}},
  issn         = {{1423-0062}},
  language     = {{eng}},
  number       = {{2-4}},
  pages        = {{106--115}},
  publisher    = {{Karger}},
  series       = {{Human Heredity}},
  title        = {{Gene × environment interactions in obesity: the state of the evidence.}},
  url          = {{http://dx.doi.org/10.1159/000351070}},
  doi          = {{10.1159/000351070}},
  volume       = {{75}},
  year         = {{2013}},
}