PMID- 31294628
OWN - NLM
STAT- MEDLINE
DCOM- 20191213
LR  - 20191217
IS  - 1945-0257 (Electronic)
IS  - 1945-0257 (Linking)
VI  - 23
IP  - 7
DP  - 2019 Jul
TI  - Identification of Novel CXCL12 Genetic Polymorphisms Associated with Type 2 
      Diabetes Mellitus: A Chinese Sib-Pair Study.
PG  - 435-441
LID - 10.1089/gtmb.2018.0149 [doi]
AB  - Aims: To discover possible relationships between CXCL12 single nucleotide 
      polymorphisms (SNPs) and type 2 diabetes mellitus (T2DM) and its risk factors. 
      Methods: The present sib-pair study was conducted in a rural community of 
      Beijing, China. SNPs rs2297630, rs1746048, and rs1801157 located within or nearby 
      the CXCL12 gene were genotyped using the allele-specific polymerase chain 
      reaction method. Haseman-Elston regression was used to investigate linkages 
      between these SNPs and T2DM. A generalized estimating equation logistic 
      regression model was used to discover associations between the SNPs, T2DM, and 
      its risk factors. Results: A total of 3171 participants were recruited, 
      comprising 2277 sib pairs. After Bonferroni correction (alpha = 0.016), rs2297630 was 
      found to be significantly linked to (p = 0.003) and associated with T2DM (AA vs. 
      GG/GA: OR = 2.26, 95% CI: 1.31-3.88, p = 0.003). There were interactions between 
      rs2297630 and dyslipidemia (p < 0.001) and between rs1746048 and hypertension 
      (p = 0.011). Compared to dyslipidemia-free subjects with rs2297630 GG/GA 
      genotypes, dyslipidemia patients with rs2297630 AA had a higher risk of T2DM 
      (OR = 4.15, 95% CI: 2.24-7.67, p < 0.001). Compared to hypertension-free subjects 
      with rs1746048 CC genotypes, hypertension-free subjects with rs1746048 CT/TT had 
      a decreased risk of T2DM (OR = 0.77, 95% CI: 0.60-0.99, p = 0.045). Conclusions: 
      A novel linkage and association was found between rs2297630 and T2DM. Moreover, 
      novel interactions were found between rs2297630 and dyslipidemia as well as 
      rs1746048 and hypertension. These findings will help identify individuals at 
      higher risk of developing T2DM.
FAU - Yin, Qiongzhou
AU  - Yin Q
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Sun, Kexin
AU  - Sun K
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Xiang, Xiao
AU  - Xiang X
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Juan, Juan
AU  - Juan J
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Cao, Yaying
AU  - Cao Y
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Song, Jing
AU  - Song J
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Yang, Yanfen
AU  - Yang Y
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Shi, Moye
AU  - Shi M
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Tian, Yaohua
AU  - Tian Y
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Liu, Kuo
AU  - Liu K
AD  - 2 Department of Epidemiology & Biostatistics, Capital Medical University, 
      Beijing, China.
FAU - Fang, Kai
AU  - Fang K
AD  - 3 Beijing Center for Disease Prevention and Control, Beijing, China.
FAU - Li, Jing
AU  - Li J
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Tang, Xun
AU  - Tang X
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Wu, Yiqun
AU  - Wu Y
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Qin, Xueying
AU  - Qin X
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Wu, Tao
AU  - Wu T
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Chen, Dafang
AU  - Chen D
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
FAU - Hu, Yonghua
AU  - Hu Y
AD  - 1 Department of Epidemiology and Biostatistics, School of Public Public Health, 
      Peking University, Beijing, China.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Genet Test Mol Biomarkers
JT  - Genetic testing and molecular biomarkers
JID - 101494210
RN  - 0 (CXCL12 protein, human)
RN  - 0 (Chemokine CXCL12)
SB  - IM
MH  - Chemokine CXCL12/*genetics
MH  - China
MH  - Diabetes Mellitus, Type 2/*genetics
MH  - Dyslipidemias/genetics
MH  - Female
MH  - Gene-Environment Interaction
MH  - Genetic Association Studies
MH  - Humans
MH  - Life Style
MH  - Logistic Models
MH  - Male
MH  - Middle Aged
MH  - Polymorphism, Single Nucleotide
MH  - Risk Factors
OTO - NOTNLM
OT  - sib pair
OT  - single nucleotide polymorphisms
OT  - type 2 diabetes mellitus
EDAT- 2019/07/12 06:00
MHDA- 2019/12/18 06:00
CRDT- 2019/07/12 06:00
PHST- 2019/07/12 06:00 [entrez]
PHST- 2019/07/12 06:00 [pubmed]
PHST- 2019/12/18 06:00 [medline]
AID - 10.1089/gtmb.2018.0149 [doi]
PST - ppublish
SO  - Genet Test Mol Biomarkers. 2019 Jul;23(7):435-441. doi: 10.1089/gtmb.2018.0149.