Table of Contents Author Guidelines Submit a Manuscript
International Journal of Endocrinology
Volume 2014, Article ID 674069, 9 pages
http://dx.doi.org/10.1155/2014/674069
Research Article

Effect of GAS6 and AXL Gene Polymorphisms on Adiposity, Systemic Inflammation, and Insulin Resistance in Adolescents

1Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei City 110, Taiwan
2Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
3Department of Physiology and Biophysics, National Defense Medical Center, Taipei City 114, Taiwan
4School of Public Health Department, National Defense Medical Center, Taipei City 114, Taiwan
5Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA 90509, USA
6Department of Oral Diagnosis and Pathology, School of Dentistry, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
7Division of Endocrinology and Metabolism, Wan Fang Hospital, Taipei Medical University, Taipei City 116, Taiwan

Received 18 October 2013; Revised 21 December 2013; Accepted 7 January 2014; Published 18 February 2014

Academic Editor: Yi-Hao Yu

Copyright © 2014 Fone-Ching Hsiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

In order to explore the effects of GAS6/ AXL gene polymorphisms on adiposity, systemic inflammation, and insulin resistance, we genotyped 727 adolescents’ GAS6 rs8191973, GAS6 rs8191974, AXL rs4802113, and AXL rs2304232 polymorphisms from the Taipei Children Heart Study-III. The studied adolescents were categorized into subgroups based on their GAS6 rs8191973 genotype (CC, CG, and GG), GAS6 rs8191974 genotype (GG, GA, and AA), AXL rs4802113 genotype (CC, CT, and TT), and AXL rs2304232 (AA, AG, and GG) with gender specification. All comparisons between anthropometric and biochemistry data across GAS6 and AXL polymorphisms were presented in Supplemental Tables 1-4. To determine whether the AXL SNPs are predictors of obesity and obesity-associated complications, logistic regression analysis was used to calculate the odds ratio and 95% confidence interval for each genotype. The results were present in Supplemental Table 5.

  1. Supplementary Material