Variation in genes related to hepatic lipid metabolism and changes in waist circumference and body weight

• Published in: Genes & nutrition 2014-03, Vol.9 (2), p.385-385, Article 385
• Main Authors: Meidtner, Karina, Fisher, Eva, Ängquist, Lars, Holst, Claus, Vimaleswaran, Karani S, Boer, Jolanda M. A, Halkjær, Jytte, Masala, Giovanna, Østergaard, Jane N, Mortensen, Lotte M, van der A, Daphne L, Tjønneland, Anne, Palli, Domenico, Overvad, Kim, Wareham, Nicholas J, Loos, Ruth J. F, Sørensen, Thorkild I. A, Boeing, Heiner
• Format: Article
• Language: English
• Subjects: body mass index; carbohydrate intake; energy balance; genes; genetic variation; linear models; lipid metabolism; polyunsaturated fatty acids; regression analysis; Research Paper; single nucleotide polymorphism; waist circumference; weight gain
• ISSN: 1555-8932; 1865-3499
• DOI: 10.1007/s12263-014-0385-7

We analysed single nucleotide polymorphisms (SNPs) tagging the genetic variability of six candidate genes (ATF6, FABP1, LPIN2, LPIN3, MLXIPL and MTTP) involved in the regulation of hepatic lipid metabolism, an important regulatory site of energy balance for associations with body mass index (BMI) and changes in weight and waist circumference. We also investigated effect modification by sex and dietary intake. Data of 6,287 individuals participating in the European prospective investigation into cancer and nutrition were included in the analyses. Data on weight and waist circumference were followed up for 6.9 ± 2.5 years. Association of 69 tagSNPs with baseline BMI and annual changes in weight as well as waist circumference were investigated using linear regression analysis. Interactions with sex, GI and intake of carbohydrates, fat as well as saturated, monounsaturated and polyunsaturated fatty acids were examined by including multiplicative SNP-covariate terms into the regression model. Neither baseline BMI nor annual weight or waist circumference changes were significantly associated with variation in the selected genes in the entire study population after correction for multiple testing. One SNP (rs1164) in LPIN2 appeared to be significantly interacting with sex (p = 0.0003) and was associated with greater annual weight gain in men (56.8 ± 23.7 g/year per allele, p = 0.02) than in women (−25.5 ± 19.8 g/year per allele, p = 0.2). With respect to gene–nutrient interaction, we could not detect any significant interactions when accounting for multiple testing. Therefore, out of our six candidate genes, LPIN2 may be considered as a candidate for further studies.