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Genome‐wide association study for the interaction between BMR and BMI in Korean obese females (628.24)
Author(s) -
Choi Jung Ran,
Kwon Dae Young,
Kim MyungSunny,
Lee Myoungsook
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.628.24
Subject(s) - single nucleotide polymorphism , body mass index , basal metabolic rate , genome wide association study , obesity , genetic association , biology , snp , genetics , statistical significance , medicine , gene , endocrinology , genotype
Basal metabolic rate (BMR), and the closely related resting metabolic rate (RMR), is the amount of energy expended daily by humans and other animals at rest. BMR accounts for approximately 45% to 70% of total energy expenditure in most healthy adults and affect by age, gender, body surface area, body and genetic composition, and hormonal status directly. The aim of this study was to identify the genetic factors associated with the interaction of BMR and body mass index (BMI) in obese women. A genome‐wide association analysis of 678,839 single nucleotide polymorphisms (SNPs) in 77 Korean obese and normal weight females was performed. Using regression and stepwise analysis, we investigated what factors preferentially involved in the interaction of BMR and BMI. Quantitative trait association analyses (PLINK) for BMR and BMI in 77 obese individuals (BMR>1426.3kcal/day and BMI>23kg/m 2 ) and normal‐weight controls (BMR<1426.3kcal/day and BMI<23kg/m 2 ) were performed. 140 SNPs achieved formal genome‐wide statistical significance in this study (P<1x10 ‐4 ). There was a significant association between NRG3 gene SNPs in the 10q23.1 chromosomal region and BMR (rs10786764, P=8.0x10 ‐7 ). FGGY gene SNP rs6676078 also reached genome‐wide significance (P=8.3x10 ‐5 ). Weaker associations (P<1x10 ‐5 ) with BMR were found in TNR, B3GNT2, FZD7, OR2Y1, MGAT1, NPAS3, PKD1L2 and SETBP1 genes. Seven other genes‐related to BMI (HSD52, TMA16, MARCH1, DGKI, NRG1, NRXN3 and STK4) yielded P<10x10 ‐4 . The five genes associated with BMR and BMI were NRG3, OR8U8, BCL2L2‐PABPN1, PABPN1, and SLC22A17 (P<1x10 ‐4 ) in common. Twenty‐two genes/chromosome regions reached genome‐wide association significance (P<1x10 ‐4 , 44 SNPs) in our GWAS. Five common genes (NRG3, OR8U8, BCL2L2‐PABPN1, PABPN1, and SLC22A17) yielded P < 1 x 10 ‐5 in BMR and BMI. Our findings provide new insights into the genetic etiology of obesity related to BMR. These results will serve as a resource for replication and validation identified with BMR and BMI. Grant Funding Source : This work was supported by KFRI 2011(11162KFDA154) and funded by the MEST (2010‐0000147).