Preference of Protein Intake and FTO rs1558902 Gene Polymorphism Among Women Obese

Universitas Diponegoro

Status

Completed

Conditions

Obesity Adult Onset

Treatments

Diagnostic Test: fto gene testing

Study type

Observational

Funder types

Other

Identifiers

NCT04740528

FTO

Details and patient eligibility

About

The concept personalized gene-based nutrition combines genetic information with specific dietary intake that is crucial in managing obesity. Obesity experienced by adult women is generally caused by inapproriate diet and sedentary lifestyle. Variations in the fat mass and obesity-related gene (FTO) has been linked with susceptibility to obesity, but diet seems to change the relationship. A single nucleotide polymorphism (SNP) in the fat mass and obesity-associated gene (FTO) is a potent predictor of human obesity. Higher protein diets were more appropriate than standard protein diets, and frequently recommended as a weight loss plan as it prevents the loss of lean tissue mass. Nevertheless, high intakes of proteins may adversely affect metabolic functions. Multi studies have explored associated FTO polymorphisms with obesity in different populations. However, the contribution of the FTO common variants to obesity is controversial in Asian people, some studies showed rs1558902 was statistically associated with BMI, but other results reported FTO gene is not statistically associated with obesity. Given the diversity of Asian populations, the investigators generated a hypothesis whether relations between preference protein intake and FTO rs1558902 gene polymorphism exist in selected Indonesian obesity women

Full description

The sample size was calculated based on the difference in the proportion of variation of the gene FTO rs1558902 allele A between obese participants, which previous study estimated to be approximately 6% for populations from Malaysia. Using a power of 80% and a level of significance of 5%, the investigators required 100 obese participants.

BMI and body fat which were assessed by SECA body analyzer (SECA 201). Blood samples were collected after a 12-h minimum fast by Prodia Laboratory for DNA isolation and biochemical analysis

Enrollment

130 patients

Sex

Female

Ages

35 to 45 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria