Metabolic Effects of the Waist-To-Hip Ratio Associated Locus GRB14/COBLL1 Are Related to GRB14 Expression in Adipose Tissue
- PMID: 35955692
- PMCID: PMC9369072
- DOI: 10.3390/ijms23158558
Metabolic Effects of the Waist-To-Hip Ratio Associated Locus GRB14/COBLL1 Are Related to GRB14 Expression in Adipose Tissue
Abstract
GRB14/COBLL1 locus has been shown to be associated with body fat distribution (FD), but neither the causal gene nor its role in metabolic diseases has been elucidated. We hypothesize that GRB14/COBLL1 may act as the causal genes for FD-related SNPs (rs10195252 and rs6738627), and that they may be regulated by SNP to effect obesity-related metabolic traits. We genotyped rs10195252 and rs6738627 in 2860 subjects with metabolic phenotypes. In a subgroup of 560 subjects, we analyzed GRB14/COBLL1 gene expression in paired visceral and subcutaneous adipose tissue (AT) samples. Mediation analyses were used to determine the causal relationship between SNPs, AT GRB14/COBLL1 mRNA expression, and obesity-related traits. In vitro gene knockdown of Grb14/Cobll1 was used to test their role in adipogenesis. Both gene expressions in AT are correlated with waist circumference. Visceral GRB14 mRNA expression is associated with FPG and HbA1c. Both SNPs are associated with triglycerides, FPG, and leptin levels. Rs10195252 is associated with HbA1c and seems to be mediated by visceral AT GRB14 mRNA expression. Our data support the role of the GRB14/COBLL1 gene expression in body FD and its locus in metabolic sequelae: in particular, lipid metabolism and glucose homeostasis, which is likely mediated by AT GRB14 transcript levels.
Keywords: COBLL1; GRB14; adipose tissue; rs10195252; rs6738627.
Conflict of interest statement
The authors declared no conflict of interest.
Figures








Similar articles
-
Fat depot-specific mRNA expression of novel loci associated with waist-hip ratio.Int J Obes (Lond). 2014 Jan;38(1):120-5. doi: 10.1038/ijo.2013.56. Epub 2013 Apr 19. Int J Obes (Lond). 2014. PMID: 23670221 Free PMC article.
-
The associations of LPIN1 gene expression in adipose tissue with metabolic phenotypes in the Chinese population.Obesity (Silver Spring). 2010 Jan;18(1):7-12. doi: 10.1038/oby.2009.198. Epub 2009 Jun 18. Obesity (Silver Spring). 2010. PMID: 19543209
-
A Genome-Wide mQTL Analysis in Human Adipose Tissue Identifies Genetic Variants Associated with DNA Methylation, Gene Expression and Metabolic Traits.PLoS One. 2016 Jun 20;11(6):e0157776. doi: 10.1371/journal.pone.0157776. eCollection 2016. PLoS One. 2016. PMID: 27322064 Free PMC article.
-
Multihormonal control of ob gene expression and leptin secretion from cultured human visceral adipose tissue: increased responsiveness to glucocorticoids in obesity.J Clin Endocrinol Metab. 1998 Mar;83(3):902-10. doi: 10.1210/jcem.83.3.4644. J Clin Endocrinol Metab. 1998. PMID: 9506746 Review.
-
The genetics of fat distribution.Diabetologia. 2014 Jul;57(7):1276-86. doi: 10.1007/s00125-014-3214-z. Epub 2014 Mar 16. Diabetologia. 2014. PMID: 24632736 Review.
Cited by
-
Common and ethnic-specific derangements in skeletal muscle transcriptome associated with obesity.Int J Obes (Lond). 2024 Mar;48(3):330-338. doi: 10.1038/s41366-023-01417-y. Epub 2023 Nov 22. Int J Obes (Lond). 2024. PMID: 37993634
-
GRB14: A prognostic biomarker driving tumor progression in gastric cancer through the PI3K/AKT signaling pathway by interacting with COBLL1.Open Life Sci. 2025 Apr 29;20(1):20251084. doi: 10.1515/biol-2025-1084. eCollection 2025. Open Life Sci. 2025. PMID: 40321159 Free PMC article.
-
Genetic and Anthropometric Interplay: How Waist-to-Hip Ratio Modulates LDL-c Levels in Mexican Population.Nutrients. 2024 Oct 8;16(19):3402. doi: 10.3390/nu16193402. Nutrients. 2024. PMID: 39408369 Free PMC article.
-
Gene-Nutrient Interactions in Obesity: COBLL1 Genetic Variants Interact with Dietary Fat Intake to Modulate the Incidence of Obesity.Int J Mol Sci. 2023 Feb 13;24(4):3758. doi: 10.3390/ijms24043758. Int J Mol Sci. 2023. PMID: 36835164 Free PMC article.
References
-
- Khera A.V., Chaffin M., Aragam K.G., Haas M.E., Roselli C., Choi S.H., Natarajan P., Lander E.S., Lubitz S.A., Ellinor P.T., et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet. 2018;50:1219–1224. doi: 10.1038/s41588-018-0183-z. - DOI - PMC - PubMed
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Molecular Biology Databases