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

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• 作者：Karina Meidtner (1) (2)
  Eva Fisher (3)
  Lars ?ngquist (4)
  Claus Holst (4)
  Karani S. Vimaleswaran (14) (5) (6)
  Jolanda M. A. Boer (7)
  Jytte Halkj?r (8)
  Giovanna Masala (9)
  Jane N. ?stergaard (10) (11)
  Lotte M. Mortensen (10) (11)
  Daphne L. van der A (7)
  Anne Tj?nneland (8)
  Domenico Palli (9)
  Kim Overvad (10) (11)
  Nicholas J. Wareham (5)
  Ruth J. F. Loos (12) (5)
  Thorkild I. A. S?rensen (13) (4)
  Heiner Boeing (1)
  
• 关键词：LPIN2 ; Obesity ; Weight gain ; Gene–diet interaction
• 刊名：Genes & Nutrition
• 出版年：2014
• 出版时间：March 2014
• 年：2014
• 卷：9
• 期：2
• 全文大小：393 KB
• 作者单位：Karina Meidtner (1) (2)
  Eva Fisher (3)
  Lars ?ngquist (4)
  Claus Holst (4)
  Karani S. Vimaleswaran (14) (5) (6)
  Jolanda M. A. Boer (7)
  Jytte Halkj?r (8)
  Giovanna Masala (9)
  Jane N. ?stergaard (10) (11)
  Lotte M. Mortensen (10) (11)
  Daphne L. van der A (7)
  Anne Tj?nneland (8)
  Domenico Palli (9)
  Kim Overvad (10) (11)
  Nicholas J. Wareham (5)
  Ruth J. F. Loos (12) (5)
  Thorkild I. A. S?rensen (13) (4)
  Heiner Boeing (1)
  
  1. Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
  2. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
  3. Administrative Office of the Commission on Genetic Testing, Robert Koch-Institute, Berlin, Germany
  4. Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Capital Region, Copenhagen, Denmark
  14. Hugh Sinclair Unit of Human Nutrition, Department of Food & Nutritional Sciences, School of Chemistry, Food & Pharmacy, University of Reading, Reading, UK
  5. MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK
  6. Centre for Paediatric Epidemiology and Biostatistics, MRC Centre of Epidemiology for Child Health, UCL Institute of Child Health, London, UK
  7. Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
  8. Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
  9. Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy
  10. Department of Cardiology, Centre for Cardiovascular Research, Aalborg Hospital, Aalborg University Hospital, Aalborg, Denmark
  11. Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
  12. Genetics of Obesity and Related Metabolic Traits Program, Department of Preventive Medicine, The Charles Bronfman Institute for Personalized Medicine, Institute of Child Health and Development, Mount Sinai School of Medicine, New York, NY, USA
  13. Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
  
• ISSN：1865-3499

文摘

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 (?5.5?±?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.