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BMI prediction within a Korean population.

Jin Sol Lee1,2, Hyun Sub Cheong3, Hyoung-Doo Shin1,2,3

  • 1Research Institute for Basic Science, Sogang University, Seoul, Republic of Korea.

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|July 5, 2017
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Summary
This summary is machine-generated.

This study identified nine single nucleotide polymorphisms (SNPs) associated with Body Mass Index (BMI) in ethnic Koreans. These genetic markers show potential for predicting BMI and related health risks.

Keywords:
BMIPredictionwGRS

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Area of Science:

  • Genetics
  • Human Health
  • Obesity Research

Background:

  • Body Mass Index (BMI) is a key indicator for obesity and associated diseases like Type 2 diabetes and cardiovascular conditions.
  • Accurate BMI assessment is crucial for public health and personalized medicine.

Purpose of the Study:

  • To identify genetic markers associated with Body Mass Index (BMI) in the Korean population.
  • To evaluate the predictive utility of identified genetic markers for BMI.

Main Methods:

  • Utilized genome-wide association study (GWAS) data from 6,011 ethnic Korean subjects.
  • Selected nine single nucleotide polymorphisms (SNPs) for their association with BMI using a 10-fold cross-validation approach.
  • Calculated weighted genetic risk scores based on the identified SNPs.

Main Results:

  • Identified nine significant SNPs (e.g., rs12566985, rs6545809, rs7202116) associated with BMI.
  • Demonstrated a significant upward trend in BMI values (P < 0.0001, R² > 0.22) during cross-validation.
  • Validated the predictive power of the genetic risk score in a separate validation set (R² > 0.46), including gender-specific analyses.

Conclusions:

  • The identified set of nine SNPs can potentially be used for the prospective prediction of Body Mass Index (BMI).
  • These findings contribute to understanding the genetic architecture of BMI in the Korean population.
  • The identified SNPs may aid in early identification of individuals at risk for obesity-related diseases.