Journal of Genetics and DNA Research

Prediction of Fasting Blood Glucose Level within a Korean Population

Abstract

Hyoung Doo Shin*, Yeon Su Kim, In Ki Baek and Hyun Sub Cheong

Fasting blood glucose (FBG) level is prevalent trait to predict several diseases. In the present study, We identified markers for prediction of blood glucose level. The genotype data of a total of 5,013 samples (2,373 men and 2,640 women) were obtained from the Korea Association Resource (KARE) project. We collected markers from a genome-wide association study (GWAS) catalog which included additional markers from nearby regions of GWAS catalog markers. In order to establish a FBG prediction model, we selected significant single nucleotide polymorphisms (SNPs) using a 10-fold cross-validation. In addition, we validated our prediction model using the final validation set. We selected a total of 7 SNP comprised of 2 SNPs (rs7754840 and rs12699673) for the men and 5 SNPs (rs102275, rs1574285, rs2908289, rs6494307 and rs917793) for the women from the 10-fold cross-validation process. The results of the 10-fold across-validation process in the men and the women indicated upward trends of FBG levels. Also, we validated our prediction model using the final validation set. In the final validation set, increased trends were observed across all of the sets. Our prediction model for FBG may be helpful to further FBG related studies.