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Genetic susceptibility to obesity and diet intakes: association and interaction analyses in the Malmö Diet and Cancer Study.

Rukh, Gull LU ; Sonestedt, Emily LU ; Melander, Olle LU ; Hedblad, Bo LU ; Wirfält, Elisabet LU ; Ericson, Ulrika LU and Orho-Melander, Marju LU (2013) In Genes & Nutrition 8(6). p.535-547
Abstract
Gene-environment interactions need to be studied to better understand the obesity. We aimed at determining whether genetic susceptibility to obesity associates with diet intake levels and whether diet intakes modify the genetic susceptibility. In 29,480 subjects of the population-based Malmö Diet and Cancer Study (MDCS), we first assessed association between 16 genome-wide association studies identified obesity-related single-nucleotide polymorphisms (SNPs) with body mass index (BMI) and associated traits. We then conducted association analyses between a genetic risk score (GRS) comprising of 13 replicated SNPs and the individual SNPs, and relative dietary intakes of fat, carbohydrates, protein, fiber and total energy intake, as well as... (More)
Gene-environment interactions need to be studied to better understand the obesity. We aimed at determining whether genetic susceptibility to obesity associates with diet intake levels and whether diet intakes modify the genetic susceptibility. In 29,480 subjects of the population-based Malmö Diet and Cancer Study (MDCS), we first assessed association between 16 genome-wide association studies identified obesity-related single-nucleotide polymorphisms (SNPs) with body mass index (BMI) and associated traits. We then conducted association analyses between a genetic risk score (GRS) comprising of 13 replicated SNPs and the individual SNPs, and relative dietary intakes of fat, carbohydrates, protein, fiber and total energy intake, as well as interaction analyses on BMI and associated traits among 26,107 nondiabetic MDCS participants. GRS associated strongly with increased BMI (P = 3.6 × 10(-34)), fat mass (P = 6.3 × 10(-28)) and fat-free mass (P = 1.3 × 10(-24)). Higher GRS associated with lower total energy intake (P = 0.001) and higher intake of fiber (P = 2.3 × 10(-4)). No significant interactions were observed between GRS and the studied dietary intakes on BMI or related traits. Of the individual SNPs, after correcting for multiple comparisons, NEGR1 rs2815752 associated with diet intakes and BDNF rs4923461 showed interaction with protein intake on BMI. In conclusion, our study does not provide evidence for a major role for macronutrient-, fiber- or total energy intake levels in modifying genetic susceptibility to obesity measured as GRS. However, our data suggest that the number of risk alleles as well as some of the individual obesity loci may have a role in regulation of food and energy intake and that some individual loci may interact with diet. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Genes & Nutrition
volume
8
issue
6
pages
535 - 547
publisher
New Century Health Publishers
external identifiers
  • wos:000326103200002
  • pmid:23861046
  • scopus:84887228295
ISSN
1555-8932
DOI
10.1007/s12263-013-0352-8
language
English
LU publication?
yes
id
f6249e7d-bf57-4ade-86b7-d341e634c232 (old id 3955850)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23861046?dopt=Abstract
date added to LUP
2016-04-01 10:25:49
date last changed
2020-10-07 01:37:55
@article{f6249e7d-bf57-4ade-86b7-d341e634c232,
  abstract     = {Gene-environment interactions need to be studied to better understand the obesity. We aimed at determining whether genetic susceptibility to obesity associates with diet intake levels and whether diet intakes modify the genetic susceptibility. In 29,480 subjects of the population-based Malmö Diet and Cancer Study (MDCS), we first assessed association between 16 genome-wide association studies identified obesity-related single-nucleotide polymorphisms (SNPs) with body mass index (BMI) and associated traits. We then conducted association analyses between a genetic risk score (GRS) comprising of 13 replicated SNPs and the individual SNPs, and relative dietary intakes of fat, carbohydrates, protein, fiber and total energy intake, as well as interaction analyses on BMI and associated traits among 26,107 nondiabetic MDCS participants. GRS associated strongly with increased BMI (P = 3.6 × 10(-34)), fat mass (P = 6.3 × 10(-28)) and fat-free mass (P = 1.3 × 10(-24)). Higher GRS associated with lower total energy intake (P = 0.001) and higher intake of fiber (P = 2.3 × 10(-4)). No significant interactions were observed between GRS and the studied dietary intakes on BMI or related traits. Of the individual SNPs, after correcting for multiple comparisons, NEGR1 rs2815752 associated with diet intakes and BDNF rs4923461 showed interaction with protein intake on BMI. In conclusion, our study does not provide evidence for a major role for macronutrient-, fiber- or total energy intake levels in modifying genetic susceptibility to obesity measured as GRS. However, our data suggest that the number of risk alleles as well as some of the individual obesity loci may have a role in regulation of food and energy intake and that some individual loci may interact with diet.},
  author       = {Rukh, Gull and Sonestedt, Emily and Melander, Olle and Hedblad, Bo and Wirfält, Elisabet and Ericson, Ulrika and Orho-Melander, Marju},
  issn         = {1555-8932},
  language     = {eng},
  number       = {6},
  pages        = {535--547},
  publisher    = {New Century Health Publishers},
  series       = {Genes & Nutrition},
  title        = {Genetic susceptibility to obesity and diet intakes: association and interaction analyses in the Malmö Diet and Cancer Study.},
  url          = {https://lup.lub.lu.se/search/ws/files/1839875/4178387.pdf},
  doi          = {10.1007/s12263-013-0352-8},
  volume       = {8},
  year         = {2013},
}