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Putting the Genome in Context : Gene-Environment Interactions in Type 2 Diabetes

Franks, Paul W. LU and Paré, Guillaume (2016) In Current Diabetes Reports 16(7).
Abstract

The genome is often the conduit through which environmental exposures convey their effects on health and disease. Whilst not all diseases act by directly perturbing the genome, the phenotypic responses are often genetically determined. Hence, whilst diseases are often defined has having differing degrees of genetic determination, genetic and environmental factors are, with few exceptions, inseparable features of most diseases, not least type 2 diabetes. It follows that to optimize diabetes, prevention and treatment will require that the etiological roles of genetic and environmental risk factors be jointly considered. As we discuss here, studies focused on quantifying gene-environment and gene-treatment interactions are gathering... (More)

The genome is often the conduit through which environmental exposures convey their effects on health and disease. Whilst not all diseases act by directly perturbing the genome, the phenotypic responses are often genetically determined. Hence, whilst diseases are often defined has having differing degrees of genetic determination, genetic and environmental factors are, with few exceptions, inseparable features of most diseases, not least type 2 diabetes. It follows that to optimize diabetes, prevention and treatment will require that the etiological roles of genetic and environmental risk factors be jointly considered. As we discuss here, studies focused on quantifying gene-environment and gene-treatment interactions are gathering momentum and may eventually yield data that helps guide health-related choices and medical interventions for type 2 diabetes and other complex diseases.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cardiometabolic, Gene-lifestyle interaction, Genomic, Genotype-based recall, Obesity, Recall by genotype, Systems biology, Variance heterogeneity
in
Current Diabetes Reports
volume
16
issue
7
article number
57
publisher
Current Science, Inc.
external identifiers
  • scopus:84966312197
  • pmid:27155607
  • wos:000377938700002
ISSN
1534-4827
DOI
10.1007/s11892-016-0758-y
language
English
LU publication?
yes
id
d15b3e16-ca47-4cfd-9634-37786e2530bf
date added to LUP
2016-05-31 13:27:11
date last changed
2024-04-05 00:00:49
@article{d15b3e16-ca47-4cfd-9634-37786e2530bf,
  abstract     = {{<p>The genome is often the conduit through which environmental exposures convey their effects on health and disease. Whilst not all diseases act by directly perturbing the genome, the phenotypic responses are often genetically determined. Hence, whilst diseases are often defined has having differing degrees of genetic determination, genetic and environmental factors are, with few exceptions, inseparable features of most diseases, not least type 2 diabetes. It follows that to optimize diabetes, prevention and treatment will require that the etiological roles of genetic and environmental risk factors be jointly considered. As we discuss here, studies focused on quantifying gene-environment and gene-treatment interactions are gathering momentum and may eventually yield data that helps guide health-related choices and medical interventions for type 2 diabetes and other complex diseases.</p>}},
  author       = {{Franks, Paul W. and Paré, Guillaume}},
  issn         = {{1534-4827}},
  keywords     = {{Cardiometabolic; Gene-lifestyle interaction; Genomic; Genotype-based recall; Obesity; Recall by genotype; Systems biology; Variance heterogeneity}},
  language     = {{eng}},
  month        = {{07}},
  number       = {{7}},
  publisher    = {{Current Science, Inc.}},
  series       = {{Current Diabetes Reports}},
  title        = {{Putting the Genome in Context : Gene-Environment Interactions in Type 2 Diabetes}},
  url          = {{http://dx.doi.org/10.1007/s11892-016-0758-y}},
  doi          = {{10.1007/s11892-016-0758-y}},
  volume       = {{16}},
  year         = {{2016}},
}