English
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Gene 2012-Mar

Associations of variants of CNR1 with obesity and obesity-related traits in Chinese women.

Only registered users can translate articles
Log In/Sign up
The link is saved to the clipboard
Maoqiang Zhuang
Yajun Yang
Feifei Cao
Ming Lu
Xiaofeng Wang
Juan Zhang
Xingdong Chen
Ping Cheng
Nana Zhang
Weimin Ye

Keywords

Abstract

The aim of this study was to investigate associations of two candidate gene SNPs of the endocannabinoid receptor type 1 gene (CNR1) with overweight, obesity and obesity-related traits in Chinese retired women. The study subjects were a subsample of the Taizhou Retiree Women Cohort, consisting of 2812 retired women aged 50-64 years recruited from Taizhou, Jiangsu, China. Neither rs2023239 nor rs806381 polymorphism was significantly associated with body mass index-defined overweight and obesity or waist-to-hip-ratio-defined obesity. For obesity-related traits, rs2023239 was significantly associated with glutamate pyruvate transaminase (GPT) (median, 18.00 vs 17.00 for TT and TC genotypes, respectively, P=0.043). The rs806381 also showed significant association with triglyceride (TG) (mean±SD, 1.46±0.20 vs 1.53±0.20 for GA and GG+AA genotypes, respectively, P=0.013) under the dominant genetic model. In conclusion, the rs2023239 and rs806381 polymorphisms of CNR1 were not associated with increased overweight and obesity risk. But the rs2023239 polymorphism was significantly associated with GPT, and the rs806381 polymorphism was significantly associated with TG.

Join our facebook page

The most complete medicinal herbs database backed by science

  • Works in 55 languages
  • Herbal cures backed by science
  • Herbs recognition by image
  • Interactive GPS map - tag herbs on location (coming soon)
  • Read scientific publications related to your search
  • Search medicinal herbs by their effects
  • Organize your interests and stay up do date with the news research, clinical trials and patents

Type a symptom or a disease and read about herbs that might help, type a herb and see diseases and symptoms it is used against.
*All information is based on published scientific research

Google Play badgeApp Store badge