Effects of MC4R, FTO, and NMB Gene Variants to Obesity, Physical Activity, and Eating Behavior Phenotypes


Kirac D., Cakir Ö. , Avcilar T., Deyneli O., KURTEL H. , Yazici D., ...Daha Fazla

IUBMB LIFE, cilt.68, sa.10, ss.806-816, 2016 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 68 Konu: 10
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1002/iub.1558
  • Dergi Adı: IUBMB LIFE
  • Sayfa Sayıları: ss.806-816

Özet

Obesity is a major contributory factor of morbidity and mortality. It has been suggested that biological systems may be involved in the tendency to be and to remain physically inactive also behaviors such as food and beverage preferences and nutrient intake may at least partially genetically determined. Consequently, besides environment, genetic factors may also contribute to the level of physical activity and eating behaviors thus effect obesity. Therefore the aim of this study is to investigate the effect of various gene mutations on obesity, physical activity levels and eating behavior phenotypes. One hundred patients and 100 controls were enrolled to the study. Physical activity levels were measured with an actical acceloremeter device. Eating behaviors were evaluated using Three-Factor Eating questionnaire (TFEQ). Associations between eating behavior scores and physical characteristics were also evaluated. The information about other obesity risk factors were also collected. Mutations were investigated with PCR, direct sequencing and Real-Time PCR. rs1051168, rs8050146-2778C>T mutations were found statistically significant in patients, rs1121980 was found statistically significant in controls. 21 mutations were found in MC4R and near MC4R of which 18 of them are novel and 8 of them cause amino acid change. In addition, it was found that, some obesity related factors and questions of TFEQ are associated with various investigated gene mutations. Any relation between gene mutations and physical activity levels were not detected. It is thought that, due to the genotype data and eating behaviors, it may be possible to recommend patients for proper eating patterns to prevent obesity. (C) 2016 IUBMB Life, 68(10):806-816, 2016