scholarly journals TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signaling

Author(s):  
Duan Liu ◽  
Thanh Thanh Le Nguyen ◽  
Huanyao Gao ◽  
Huaizhi Huang ◽  
Daniel C. Kim ◽  
...  

AbstractBipolar disorder (BD) and obesity are highly comorbid. We previously performed a genome-wide association study (GWAS) for BD risk accounting for the effect of body mass index (BMI), which identified a genome-wide significant single-nucleotide polymorphism (SNP) in the gene encoding the transcription factor 7 like 2 (TCF7L2). However, the molecular function of TCF7L2 in the central nervous system (CNS) and its possible role in the BD and BMI interaction remained unclear. In the present study, we demonstrated by studying human induced pluripotent stem cell (hiPSC)-derived astrocytes, cells that highly express TCF7L2 in the CNS, that the BD-BMI GWAS risk SNP is associated with glucocorticoid-dependent repression of the expression of a previously uncharacterized TCF7L2 transcript variant. That transcript is a long non-coding RNA (lncRNA-TCF7L2) that is highly expressed in the CNS but not in peripheral tissues such as the liver and pancreas that are involved in metabolism. In astrocytes, knockdown of the lncRNA-TCF7L2 resulted in decreased expression of the parent gene, TCF7L2, as well as alterations in the expression of a series of genes involved in insulin signaling and diabetes. We also studied the function of TCF7L2 in hiPSC-derived astrocytes by integrating RNA sequencing data after TCF7L2 knockdown with TCF7L2 chromatin-immunoprecipitation sequencing (ChIP-seq) data. Those studies showed that TCF7L2 directly regulated a series of BD risk genes. In summary, these results support the existence of a CNS-based mechanism underlying BD-BMI genetic risk, a mechanism based on a glucocorticoid-dependent expression quantitative trait locus that regulates the expression of a novel TCF7L2 non-coding transcript.

2015 ◽  
Vol 44 (2) ◽  
pp. 700-712 ◽  
Author(s):  
N. M. Warrington ◽  
L. D. Howe ◽  
L. Paternoster ◽  
M. Kaakinen ◽  
S. Herrala ◽  
...  

2013 ◽  
Vol 19 (9) ◽  
pp. 1010-1016 ◽  
Author(s):  
S J Winham ◽  
A B Cuellar-Barboza ◽  
A Oliveros ◽  
S L McElroy ◽  
S Crow ◽  
...  

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Emma A. D. Clifton ◽  
John R. B. Perry ◽  
Fumiaki Imamura ◽  
Luca A. Lotta ◽  
Soren Brage ◽  
...  

2015 ◽  
Vol 22 (2) ◽  
pp. 535-549 ◽  
Author(s):  
Renato Polimanti ◽  
Huiping Zhang ◽  
Andrew H. Smith ◽  
Hongyu Zhao ◽  
Lindsay A. Farrer ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenqiang Li ◽  
Chu-Yi Zhang ◽  
Jiewei Liu ◽  
Fanglin Guan ◽  
Minglong Shao ◽  
...  

Background: Shared psychopathological features and mechanisms have been observed between schizophrenia (SZ) and bipolar disorder (BD), but their common risk genes and full genetic architectures remain to be fully characterized. The genome-wide association study (GWAS) datasets offer the opportunity to explore this scientific question using combined genetic data from enormous samples, ultimately allowing a better understanding of the onset and development of these illnesses.Methods: We have herein performed a genome-wide meta-analysis in two GWAS datasets of SZ and BD respectively (24,600 cases and 40,012 controls in total, discovery sample), followed by replication analyses in an independent sample of 4,918 SZ cases and 5,506 controls of Han Chinese origin (replication sample). The risk SNPs were then explored for their correlations with mRNA expression of nearby genes in multiple expression quantitative trait loci (eQTL) datasets.Results: The single nucleotide polymorphisms (SNPs) rs1637749 and rs3800908 at 7p22.3 region were significant in both discovery and replication samples, and exhibited genome-wide significant associations when combining all East Asian SZ and BD samples (29,518 cases and 45,518 controls). The risk SNPs were also significant in GWAS of SZ and BD among Europeans. Both risk SNPs significantly predicted lower expression of MRM2 in the whole blood and brain samples in multiple datasets, which was consistent with its reduced mRNA level in the brains of SZ patients compared with normal controls. The risk SNPs were also associated with MAD1L1 expression in the whole blood sample.Discussion: We have identified a novel genome-wide risk locus associated with SZ and BD in East Asians, adding further support for the putative common genetic risk of the two illnesses. Our study also highlights the necessity and importance of mining public datasets to explore risk genes for complex psychiatric diseases.


2019 ◽  
Vol 185 (Supplement_1) ◽  
pp. 649-655
Author(s):  
Dara M Kusic ◽  
Wendy N Roberts ◽  
Joseph P Jarvis ◽  
Pan Zhang ◽  
Laura B Scheinfeldt ◽  
...  

Abstract Introduction: the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood. Materials and Methods: we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity. Results: we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI. Conclusions: the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.


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