philpan1c

PhilSPEN Online Journal of Parenteral and Enteral Nutrition

Back to Abstracts List

Submitted Abstracts

PENSA 2017 Congress

Submitted: August 15, 2017

Abstract ID = 55 | Classification: (4) - Disease specific nutrition issues

Title: Association between common obesity-associated variants and clinical phenotypes in Thai adults

Author(s): Chaichana C (1), Khumkhana N (1), Pimsen K (1), Chanprasert C (2), Tangjittipokin W (3), Plengvidhya N (2), Yenchitsomanus PT (4), Homsanit M (5), Densupsoontorn N (6), Santiprabhob J (7), Yamwong P (1), and Pramyothin P (1)

Institution where study was conducted:

  1. Division of Nutrition, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  2. Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  3. Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  4. Division of Molecular Medicine, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  5. Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  6. Division of Nutrition, Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  7. Division of Endocrinology and Metabolism, Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Keywords: Obesity; Body mass index (BMI); Genotype; High-resolution melting analysis (HRM)

Background: Obesity is recognized as a major health problem worldwide. Genome-wide association studies in other populations have identified multiple SNPs to be associated with obesity, however limited data is available in the Thai population.

Objectives: The goal of this study was to explore the association between BMI-associated genetic variants and clinical phenotype in Thai adults.

Methods: Obese (BMI ≥30 kg/m2) and lean adults (BMI 18–23 kg/m2) were enrolled. All participants were subjected to careful evaluation including personal and family history, anthropometry and biochemical profiles. Variants of BMI-associated loci including FTO rs17817449, MC4R rs6567160, GNPDA2 rs10938397, CDKAL1 rs9356744, BDNF rs6265, PAX6 rs652722, GP2 rs12597579 and PCSK1 rs261967 were screened by high resolution melting (HRM) analysis.

Results: The study consisted of 276 obese subjects (age 39.8±13.1 years, 62% female, BMI 41.3±10.4 kg/m2) and 206 lean controls (age 31.9±6.6 years, 85% female, BMI 19.5±1.5 kg/m2). The G/G genotype of FTO rs17817449, GNPDA2 rs10938397 and BDNF rs6265 loci were significantly associated with obesity with odds ratios of 2.64 (95%CI: 1.21-5.78, p=0.015), 2.47 (95%CI: 1.25-4.86, p=0.009) and 2.10 (95%CI: 1.24-3.55, p=0.006), respectively, using logistic regression analysis with codominant models. Compared with the A/A phenotype, the G/G phenotype of GNPDA2 rs10938397 was significantly correlated with higher levels of high-density cholesterol (0.94, 95% CI:0.89-0.99, p=0.031) and high-sensitivity C-reactive protein (0.81, 95%CI:0.70-0.93, p=0.002) in the obese group.

Conclusion: Our study indicates that the multiple variants SNP may contribute to the risk of obesity and may predict obesity-related metabolic traits in Thai subjects.

Email: pornpoj.pra@mahidol.ac.th

Top