PMID- 28591028
OWN - NLM
STAT- MEDLINE
DCOM- 20170706
LR  - 20231112
IS  - 1536-5964 (Electronic)
IS  - 0025-7974 (Print)
IS  - 0025-7974 (Linking)
VI  - 96
IP  - 23
DP  - 2017 Jun
TI  - Haplotype-based interaction of the PPARGC1A and UCP1 genes is associated with 
      impaired fasting glucose or type 2 diabetes mellitus.
PG  - e6941
LID - 10.1097/MD.0000000000006941 [doi]
LID - e6941
AB  - The aim of this study is to evaluate the effect of single-nucleotide 
      polymorphisms (SNPs) of the PPARGC1A and UCP1 genes on impaired fasting glucose 
      (IFG) or type 2 diabetes mellitus (T2DM) and the haplotype-based interaction 
      between these genes.A cross-sectional study was conducted by cluster sampling in 
      Henan province, China. Based on the level of fasting plasma glucose (FPG) and the 
      history of T2DM, the participants were divided into 2 groups; 83 individuals were 
      in the IFG+DM group (those with IFG or T2DM) and 445 individuals were in the NFPG 
      group (those with normal FPG). Kernel canonical correlation analysis (KCCA), a 
      haplotype-based gene-gene interaction method, which can increase the biological 
      interpretability and extract nonlinear characteristics of SNPs, was used to 
      analyze the correlation and interaction between PPARGC1A and UCP1 genes.The age, 
      BMI, total cholesterol and triglycerides were statistically different between 2 
      groups (P </= .001). Haplotype analysis showed no significant difference in 
      frequency distribution between the 2 groups when the PPARGC1A or UCP1 gene was 
      tested (P > .05). KCCA analysis showed that the maximum kernel canonical 
      correlation coefficient of the PPARGC1A and UCP1 genes was 0.9977 and 0.9995 in 
      the IFG+DM and NPFG groups, respectively. A haplotype-based gene-gene interaction 
      was observed significantly (U = -6.28, P < .001), indicating the possibility of 
      an interaction between haplotype AAG of the PPARGC1A gene and haplotypes CTCG 
      (odds ratio [OR] = 1.745, 95% confidence interval [95% CI] 1.069-2.847) and CTCA 
      (OR = 0.239, 95% CI 0.060-0.958) of the UCP1 gene.Haplotype-based interaction 
      between the PPARGC1A and UCP1 genes is associated with IFG or T2DM among 
      residents in Henan, China.
FAU - Pei, Xiaoting
AU  - Pei X
AD  - College of Public Health School of Basic Medical Sciences, Zhengzhou University, 
      Zhengzhou, China.
FAU - Liu, Li
AU  - Liu L
FAU - Cai, Jialin
AU  - Cai J
FAU - Wei, Wenkai
AU  - Wei W
FAU - Shen, Yan
AU  - Shen Y
FAU - Wang, Yaxuan
AU  - Wang Y
FAU - Chen, Yanzi
AU  - Chen Y
FAU - Sun, Panpan
AU  - Sun P
FAU - Imam, Mustapha Umar
AU  - Imam MU
FAU - Ping, Zhiguang
AU  - Ping Z
FAU - Fu, Xiaoli
AU  - Fu X
LA  - eng
PT  - Journal Article
PT  - Observational Study
PL  - United States
TA  - Medicine (Baltimore)
JT  - Medicine
JID - 2985248R
RN  - 0 (Blood Glucose)
RN  - 0 (PPARGC1A protein, human)
RN  - 0 (Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha)
RN  - 0 (UCP1 protein, human)
RN  - 0 (Uncoupling Protein 1)
SB  - IM
MH  - Asian People/genetics
MH  - Blood Chemical Analysis
MH  - Blood Glucose/*genetics
MH  - Body Mass Index
MH  - China
MH  - Cross-Sectional Studies
MH  - Diabetes Mellitus, Type 2/*blood/*genetics
MH  - Fasting/blood
MH  - Female
MH  - Genetic Association Studies
MH  - Genetic Predisposition to Disease
MH  - Haplotypes
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Odds Ratio
MH  - Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/*genetics
MH  - *Polymorphism, Single Nucleotide
MH  - Surveys and Questionnaires
MH  - Uncoupling Protein 1/*genetics
PMC - PMC5466206
COIS- The authors have no conflicts of interest to disclose.
EDAT- 2017/06/08 06:00
MHDA- 2017/07/07 06:00
PMCR- 2017/06/08
CRDT- 2017/06/08 06:00
PHST- 2017/06/08 06:00 [entrez]
PHST- 2017/06/08 06:00 [pubmed]
PHST- 2017/07/07 06:00 [medline]
PHST- 2017/06/08 00:00 [pmc-release]
AID - 00005792-201706090-00004 [pii]
AID - MD-D-17-00389 [pii]
AID - 10.1097/MD.0000000000006941 [doi]
PST - ppublish
SO  - Medicine (Baltimore). 2017 Jun;96(23):e6941. doi: 10.1097/MD.0000000000006941.