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BMI prediction within a Korean population
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Journal Article
BMI prediction within a Korean population
2017
Overview
Body Mass Index (BMI) is widely regarded as an important clinical trait for obesity and other diseases such as Type 2 diabetes, coronary heart disease, and osteoarthritis.
This study uses 6,011 samples of genotype data from ethnic Korean subjects. The data was retrieved from the Korea Association Resource. To identify the BMI-related markers within the Korean population, we collected genome-wide association study (GWAS) markers using a GWAS catalog and also obtained other markers from nearby regions. Of the total 6,011 samples, 5,410 subjects were used as part of a single nucleotide polymorphism (SNP) selection set in order to identify the overlapping BMI-associated SNPs within a 10-fold cross validation.
We selected nine SNPs (
(
),
(
),
(located near
),
(located near
),
(
),
(
),
(
),
(
), and
(located near
) to assist in BMI prediction. The calculated weighted genetic risk scores based on the selected 9 SNPs within the SNP selection set were applied to the final validation set consisting of 601 samples. Our results showed upward trends in the BMI values (
< 0.0001) within the 10-fold cross validation process for
> 0.22. These trends were also observed within the validation set for all subjects, as well as within the validation sets divided by gender (
< 0.0001,
> 0.46).
The set of nine SNPs identified in this study may be useful for prospective predictions of BMI.
Publisher
PeerJ. Ltd,PeerJ, Inc,PeerJ Inc
Subject
