TY - JOUR
T1 - Genetic polymorphisms in the hypothalamic pathway in relation to subsequent weight change--the DiOGenes study
AU - Du, Huaidong
AU - Ängquist, Lars Henrik
AU - Vimaleswaran, Karani S
AU - Hansen, Rikke D
AU - van der, Daphne L
AU - Holst, Claus
AU - Tjønneland, Anne
AU - Overvad, Kim
AU - Jakobsen, Marianne Uhre
AU - Boeing, Heiner
AU - Meidtner, Karina
AU - Palli, Domenico
AU - Masala, Giovanna
AU - Bouatia-Naji, Nabila
AU - Saris, Wim H M
AU - Feskens, Edith J M
AU - Wareham, Nicolas J
AU - Sørensen, Thorkild I A
AU - Loos, Ruth J F
PY - 2011
Y1 - 2011
N2 - Background: Single nucleotide polymorphisms (SNPs) in genes encoding the components involved in the hypothalamic pathway may influence weight gain and dietary factors may modify their effects. Aim: We conducted a case-cohort study to investigate the associations of SNPs in candidate genes with weight change during an average of 6.8 years of follow-up and to examine the potential effect modification by glycemic index (GI) and protein intake. Methods and Findings: Participants, aged 20-60 years at baseline, came from five European countries. Cases ('weight gainers') were selected from the total eligible cohort (n = 50,293) as those with the greatest unexplained annual weight gain (n = 5,584). A random subcohort (n = 6,566) was drawn with the intention to obtain an equal number of cases and noncases (n = 5,507). We genotyped 134 SNPs that captured all common genetic variation across the 15 candidate genes; 123 met the quality control criteria. Each SNP was tested for association with the risk of being a 'weight gainer' (logistic regression models) in the case-noncase data and with weight gain (linear regression models) in the random subcohort data. After accounting for multiple testing, none of the SNPs was significantly associated with weight change. Furthermore, we observed no significant effect modification by dietary factors, except for SNP rs7180849 in the neuromedin β gene (NMB). Carriers of the minor allele had a more pronounced weight gain at a higher GI (P = 2×10-7). Conclusions: We found no evidence of association between SNPs in the studied hypothalamic genes with weight change. The interaction between GI and NMB SNP rs7180849 needs further confirmation.
AB - Background: Single nucleotide polymorphisms (SNPs) in genes encoding the components involved in the hypothalamic pathway may influence weight gain and dietary factors may modify their effects. Aim: We conducted a case-cohort study to investigate the associations of SNPs in candidate genes with weight change during an average of 6.8 years of follow-up and to examine the potential effect modification by glycemic index (GI) and protein intake. Methods and Findings: Participants, aged 20-60 years at baseline, came from five European countries. Cases ('weight gainers') were selected from the total eligible cohort (n = 50,293) as those with the greatest unexplained annual weight gain (n = 5,584). A random subcohort (n = 6,566) was drawn with the intention to obtain an equal number of cases and noncases (n = 5,507). We genotyped 134 SNPs that captured all common genetic variation across the 15 candidate genes; 123 met the quality control criteria. Each SNP was tested for association with the risk of being a 'weight gainer' (logistic regression models) in the case-noncase data and with weight gain (linear regression models) in the random subcohort data. After accounting for multiple testing, none of the SNPs was significantly associated with weight change. Furthermore, we observed no significant effect modification by dietary factors, except for SNP rs7180849 in the neuromedin β gene (NMB). Carriers of the minor allele had a more pronounced weight gain at a higher GI (P = 2×10-7). Conclusions: We found no evidence of association between SNPs in the studied hypothalamic genes with weight change. The interaction between GI and NMB SNP rs7180849 needs further confirmation.
U2 - 10.1371/journal.pone.0017436
DO - 10.1371/journal.pone.0017436
M3 - Journal article
SN - 1932-6203
VL - 6
SP - e17436
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 2
ER -