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ADRB3 polymorphism associated with BMI gain in Japanese men
Shouhei Takeuchi1, Takahiko Katoh, Takenori Yamauchi
1Department of Public Health, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki 889-1692, Japan.
The beta3-adrenergic receptor (ADRB3) Trp64Arg polymorphism is linked to annual BMI gain in Japanese men. Specifically, the Arg/Arg genotype, along with LDL levels and age, showed a statistical association with BMI changes over time.
Area of Science:
- Genetics and Human Physiology
- Metabolic Health Research
- Population Health Studies
Background:
- The beta3-adrenergic receptor (ADRB3) plays a role in regulating metabolism.
- Genetic variations, such as the Trp64Arg polymorphism (rs4994), may influence individual metabolic responses.
- Understanding these genetic associations is crucial for personalized health strategies.
Purpose of the Study:
- To investigate the association between the ADRB3 Trp64Arg polymorphism and Body Mass Index (BMI).
- To examine the relationship between this polymorphism and various anthropometric and serological markers in a healthy Japanese population.
- To identify potential genetic contributors to BMI changes over time.
Main Methods:
- Analysis of 1355 healthy Japanese participants from a manufacturing facility.
- Collection of anthropometric, serological, and lifestyle data via health checks and questionnaires.
- Genotyping of the ADRB3 Trp64Arg polymorphism using the PCR-RFLP method.
Main Results:
- Genotype frequencies: Trp/Trp (67.9%), Trp/Arg (29.1%), Arg/Arg (3.05%).
- Multivariate analysis indicated a weak overall significance between annual BMI gain and age, LDL, or ADRB3 polymorphism in men.
- Specific associations were observed for LDL, age, and the Arg/Arg genotype with annual BMI gain in men.
Conclusions:
- The Arg/Arg genotype of the ADRB3 polymorphism is statistically associated with annual BMI gain in Japanese men.
- LDL levels and age were also identified as significant factors associated with annual BMI gain in this cohort.
- These findings highlight the role of specific genetic variants and metabolic factors in longitudinal BMI changes.
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