PMID- 32016123
OWN - NLM
STAT- MEDLINE
DCOM- 20201120
LR  - 20220412
IS  - 2314-6753 (Electronic)
IS  - 2314-6745 (Print)
VI  - 2020
DP  - 2020
TI  - Pleiotropic Effects of a KCNQ1 Variant on Lipid Profiles and Type 2 Diabetes: A 
      Family-Based Study in China.
PG  - 8278574
LID - 10.1155/2020/8278574 [doi]
LID - 8278574
AB  - OBJECTIVE: The genetic variant rs2237895, located in the Potassium Voltage-Gated 
      Channel Subfamily Q Member 1 (KCNQ1) gene, has been replicated to be associated 
      with type 2 diabetes mellitus (T2DM) susceptibility, but the relationship with 
      lipids is conflicting. Furthermore, the common genetic predisposition to T2DM and 
      lipids was not fully detected. METHODS: In total, 5839 individuals (2220 were 
      T2DM patients) across 2885 families were included. The effect of rs2237895 on 
      T2DM and lipids was estimated using linear regression and logistic regression 
      models after adjustment for multiple covariates. Mediation analysis was then used 
      to test whether KCNQ1 participated in T2DM pathogenesis via lipid-mediated 
      pathways. RESULTS: Per allele-C of rs2237895 was associated with 17% (11-23%, P < 
      0.001) increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) 
      increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) 
      increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) 
      increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) 
      increased T2DM risk. Moreover, it was correlated with 5% (1-9%, P < 0.001) 
      increased T2DM risk. Moreover, it was correlated with 5% (1-9%. CONCLUSION: KCNQ1 
      had pleiotropic effects on lipids and T2DM, and the unexpected genetic effect on 
      association of HDL-C with T2DM was observed, indicating the different pathways to 
      lipids and T2DM. Further research studies are needed to verify potential 
      biological mechanisms.
CI  - Copyright (c) 2020 Xiaowen Wang et al.
FAU - Wang, Xiaowen
AU  - Wang X
AUID- ORCID: 0000-0003-4623-1608
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wu, Junhui
AU  - Wu J
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wu, Yao
AU  - Wu Y
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wang, Mengying
AU  - Wang M
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wang, Zijing
AU  - Wang Z
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wu, Tao
AU  - Wu T
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Chen, Dafang
AU  - Chen D
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Tang, Xun
AU  - Tang X
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Qin, Xueying
AU  - Qin X
AUID- ORCID: 0000-0003-3271-8618
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Wu, Yiqun
AU  - Wu Y
AUID- ORCID: 0000-0002-5554-1678
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
FAU - Hu, Yonghua
AU  - Hu Y
AUID- ORCID: 0000-0003-1631-3952
AD  - Department of Epidemiology and Biostatistics, School of Public Health, Peking 
      University Health Science Centre, Beijing, China.
AD  - Medical Informatics Center, Peking University Health Science Center, Beijing 
      100191, China.
LA  - eng
PT  - Journal Article
DEP - 20200113
PL  - England
TA  - J Diabetes Res
JT  - Journal of diabetes research
JID - 101605237
RN  - 0 (KCNQ1 Potassium Channel)
RN  - 0 (Lipids)
SB  - IM
MH  - Alleles
MH  - Case-Control Studies
MH  - China
MH  - Diabetes Mellitus, Type 2/blood/*genetics
MH  - Female
MH  - Gene Frequency
MH  - *Genetic Predisposition to Disease
MH  - Genotype
MH  - Humans
MH  - KCNQ1 Potassium Channel/*genetics
MH  - Lipids/*blood
MH  - Male
MH  - Polymorphism, Single Nucleotide
PMC - PMC6982365
COIS- The authors declare that there is no conflict of interest regarding the 
      publication of this paper.
EDAT- 2020/02/06 06:00
MHDA- 2020/11/21 06:00
PMCR- 2020/01/11
CRDT- 2020/02/05 06:00
PHST- 2019/10/10 00:00 [received]
PHST- 2020/01/03 00:00 [accepted]
PHST- 2020/02/05 06:00 [entrez]
PHST- 2020/02/06 06:00 [pubmed]
PHST- 2020/11/21 06:00 [medline]
PHST- 2020/01/11 00:00 [pmc-release]
AID - 10.1155/2020/8278574 [doi]
PST - epublish
SO  - J Diabetes Res. 2020 Jan 13;2020:8278574. doi: 10.1155/2020/8278574. eCollection 
      2020.