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Sugar-sweetened beverage consumption and genetic predisposition to obesity in 2 Swedish cohorts

Brunkwall, Louise LU ; Chen, Yan LU ; Hindy, George LU ; Rukh, Gull LU ; Ericson, Ulrika LU ; Barroso, Ines E.; Johansson, Ingegerd; Franks, Paul W. LU ; Orho-Melander, Marju LU and Renström, Frida LU (2016) In American Journal of Clinical Nutrition 104(3). p.809-815
Abstract

Background: The consumption of sugar-sweetened beverages (SSBs), which has increased substantially during the last decades, has been associated with obesity and weight gain. Objective: Common genetic susceptibility to obesity has been shown to modify the association between SSB intake and obesity risk in 3 prospective cohorts from the United States. We aimed to replicate these findings in 2 large Swedish cohorts. Design: Data were available for 21,824 healthy participants from the Malmö Diet and Cancer study and 4902 healthy participants from the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk Study. Self-reported SSB intake was categorized into 4 levels (seldom, low, medium, and high). Unweighted and... (More)

Background: The consumption of sugar-sweetened beverages (SSBs), which has increased substantially during the last decades, has been associated with obesity and weight gain. Objective: Common genetic susceptibility to obesity has been shown to modify the association between SSB intake and obesity risk in 3 prospective cohorts from the United States. We aimed to replicate these findings in 2 large Swedish cohorts. Design: Data were available for 21,824 healthy participants from the Malmö Diet and Cancer study and 4902 healthy participants from the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk Study. Self-reported SSB intake was categorized into 4 levels (seldom, low, medium, and high). Unweighted and weighted genetic risk scores (GRSs) were constructed based on 30 body mass index [(BMI) in kg/m2]- Associated loci, and effect modification was assessed in linear regression equations by modeling the product and marginal effects of the GRS and SSB intake adjusted for age-, sex-, and cohort-specific covariates, with BMI as the outcome. In a secondary analysis, models were additionally adjusted for putative confounders (total energy intake, alcohol consumption, smoking status, and physical activity). Results: In an inverse variance-weighted fixed-effects metaanalysis, each SSB intake category increment was associated with a 0.18 higher BMI (SE = 0.02; P = 1.7 3 10220; n = 26,726). In the fully adjusted model, a nominal significant interaction between SSB intake category and the unweighted GRS was observed (P-interaction = 0.03). Comparing the participants within the top and bottom quartiles of the GRS to each increment in SSB intake was associated with 0.24 (SE = 0.04; P = 2.9 3 1028; n = 6766) and 0.15 (SE = 0.04; P = 1.3 3 1024; n = 6835) higher BMIs, respectively. Conclusions: The interaction observed in the Swedish cohorts is similar in magnitude to the previous analysis in US cohorts and indicates that the relation of SSB intake and BMI is stronger in people genetically predisposed to obesity. Am J Clin Nutr 2016;104:809-15.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bmi, Gene-lifestyle interaction, Genetic risk score, Sugar-sweetened beverage, Sweden
in
American Journal of Clinical Nutrition
volume
104
issue
3
pages
7 pages
publisher
American Society for Clinical Nutrition
external identifiers
  • Scopus:84985960367
ISSN
0002-9165
DOI
10.3945/ajcn.115.126052
language
English
LU publication?
yes
id
6628380e-4321-498e-9620-dab5c091823f
date added to LUP
2016-09-28 15:06:35
date last changed
2016-10-27 13:02:26
@misc{6628380e-4321-498e-9620-dab5c091823f,
  abstract     = {<p>Background: The consumption of sugar-sweetened beverages (SSBs), which has increased substantially during the last decades, has been associated with obesity and weight gain. Objective: Common genetic susceptibility to obesity has been shown to modify the association between SSB intake and obesity risk in 3 prospective cohorts from the United States. We aimed to replicate these findings in 2 large Swedish cohorts. Design: Data were available for 21,824 healthy participants from the Malmö Diet and Cancer study and 4902 healthy participants from the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk Study. Self-reported SSB intake was categorized into 4 levels (seldom, low, medium, and high). Unweighted and weighted genetic risk scores (GRSs) were constructed based on 30 body mass index [(BMI) in kg/m2]- Associated loci, and effect modification was assessed in linear regression equations by modeling the product and marginal effects of the GRS and SSB intake adjusted for age-, sex-, and cohort-specific covariates, with BMI as the outcome. In a secondary analysis, models were additionally adjusted for putative confounders (total energy intake, alcohol consumption, smoking status, and physical activity). Results: In an inverse variance-weighted fixed-effects metaanalysis, each SSB intake category increment was associated with a 0.18 higher BMI (SE = 0.02; P = 1.7 3 10220; n = 26,726). In the fully adjusted model, a nominal significant interaction between SSB intake category and the unweighted GRS was observed (P-interaction = 0.03). Comparing the participants within the top and bottom quartiles of the GRS to each increment in SSB intake was associated with 0.24 (SE = 0.04; P = 2.9 3 1028; n = 6766) and 0.15 (SE = 0.04; P = 1.3 3 1024; n = 6835) higher BMIs, respectively. Conclusions: The interaction observed in the Swedish cohorts is similar in magnitude to the previous analysis in US cohorts and indicates that the relation of SSB intake and BMI is stronger in people genetically predisposed to obesity. Am J Clin Nutr 2016;104:809-15.</p>},
  author       = {Brunkwall, Louise and Chen, Yan and Hindy, George and Rukh, Gull and Ericson, Ulrika and Barroso, Ines E. and Johansson, Ingegerd and Franks, Paul W. and Orho-Melander, Marju and Renström, Frida},
  issn         = {0002-9165},
  keyword      = {Bmi,Gene-lifestyle interaction,Genetic risk score,Sugar-sweetened beverage,Sweden},
  language     = {eng},
  month        = {09},
  number       = {3},
  pages        = {809--815},
  publisher    = {ARRAY(0x9022490)},
  series       = {American Journal of Clinical Nutrition},
  title        = {Sugar-sweetened beverage consumption and genetic predisposition to obesity in 2 Swedish cohorts},
  url          = {http://dx.doi.org/10.3945/ajcn.115.126052},
  volume       = {104},
  year         = {2016},
}