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The heritable basis of gene–environment interactions in cardiometabolic traits

Poveda, Alaitz LU ; Chen, Yan LU ; Brändström, Anders; Engberg, Elisabeth; Hallmans, Göran; Johansson, Ingegerd; Renström, Frida LU ; Kurbasic, Azra LU and Franks, Paul W. LU (2017) In Diabetologia 60(3). p.442-452
Abstract

Aims/hypothesis: Little is known about the heritable basis of gene–environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype–environment interactions. Methods: Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. Results: All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense... (More)

Aims/hypothesis: Little is known about the heritable basis of gene–environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype–environment interactions. Methods: Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. Results: All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h2) ranging from 24% to 47%. Genotype–environment interactions were detected for age and sex (for the majority of traits), physical activity (for triacylglycerols, 2 h glucose and diastolic BP), smoking (for weight), alcohol intake (for weight, BMI and 2 h glucose) and diet pattern (for weight, BMI, glycaemic traits and systolic BP). Genotype–age interactions for weight and systolic BP, genotype–sex interactions for BMI and triacylglycerols and genotype–alcohol intake interactions for weight remained significant after multiple test correction. Conclusions/interpretation: Age, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cardiometabolic traits, Environment, Extended pedigrees, Gene, Heritability, Interaction, VIKING study
in
Diabetologia
volume
60
issue
3
pages
442 - 452
publisher
Springer Verlag
external identifiers
  • scopus:85006954128
  • wos:000394462100010
ISSN
0012-186X
DOI
10.1007/s00125-016-4184-0
language
English
LU publication?
yes
id
c2d419ca-cadf-40a6-ba8e-92c94c9b3640
date added to LUP
2017-01-11 12:30:38
date last changed
2018-03-18 05:08:09
@article{c2d419ca-cadf-40a6-ba8e-92c94c9b3640,
  abstract     = {<p>Aims/hypothesis: Little is known about the heritable basis of gene–environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype–environment interactions. Methods: Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. Results: All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h<sup>2</sup>) ranging from 24% to 47%. Genotype–environment interactions were detected for age and sex (for the majority of traits), physical activity (for triacylglycerols, 2 h glucose and diastolic BP), smoking (for weight), alcohol intake (for weight, BMI and 2 h glucose) and diet pattern (for weight, BMI, glycaemic traits and systolic BP). Genotype–age interactions for weight and systolic BP, genotype–sex interactions for BMI and triacylglycerols and genotype–alcohol intake interactions for weight remained significant after multiple test correction. Conclusions/interpretation: Age, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease.</p>},
  author       = {Poveda, Alaitz and Chen, Yan and Brändström, Anders and Engberg, Elisabeth and Hallmans, Göran and Johansson, Ingegerd and Renström, Frida and Kurbasic, Azra and Franks, Paul W.},
  issn         = {0012-186X},
  keyword      = {Cardiometabolic traits,Environment,Extended pedigrees,Gene,Heritability,Interaction,VIKING study},
  language     = {eng},
  number       = {3},
  pages        = {442--452},
  publisher    = {Springer Verlag},
  series       = {Diabetologia},
  title        = {The heritable basis of gene–environment interactions in cardiometabolic traits},
  url          = {http://dx.doi.org/10.1007/s00125-016-4184-0},
  volume       = {60},
  year         = {2017},
}