The transcription factor 7-like 2 (TCF7L2) rs7903146 T allele was previously associated with type 2 diabetes (T2D) and decreased BMI whereas haplotypes carrying the rs7903146 C and rs10885406 A alleles (HapA) were associated with increased BMI. The functional relevance of TCF7L2 polymorphisms and their effects on T2D and obesity remained to be further investigated. In white European populations, we found that the rs7903146 T allele was more associated with T2D in 3,547 non-obese individuals (odds ratio (OR) = 1.88 (1.69-2.10)) than in 1,110 class III obese subjects (OR = 1.24 (1.03-1.50)). No direct effect of the rs7903146 C allele and HapA was found on any form of obesity in 3,507 normal glucose tolerant (NGT) individuals, 1,106 pedigrees with familial obesity and 5,512 individuals from the French general population. However, in T2D subjects, the rs7903146 C allele was less prevalent in the 1,111 non-obese individuals (55.2%) compared to 659 class III obese subjects (67.5% OR = 1.69 (1.46-1.95)). Functional studies showed that the rs7903146 T allele is less prone to be bound by protein factors than the C allele in 3T3-L1, HepG2 and beta-TC3 cell lines and that TCF7L2 expression decreases in subcutaneous adipose tissue from NGT obese T/T carriers under calorie restriction. In conclusion, TCF7L2 is not a risk factor for obesity in European populations, but its effect on T2D risk is modulated by obesity. Furthermore, our data suggest that the rs7903146 T allele may be possibly functional and associated with a nominal decrease in TCF7L2 expression in adipose tissue of individuals under calorie restriction.
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http://dx.doi.org/10.1038/oby.2007.77 | DOI Listing |
Diabetes Obes Metab
January 2025
Steno Diabetes Center Copenhagen, Herlev, Denmark.
Aims: TCF7L2 rs7903146 is the most impactful single genetic risk variant for type 2 diabetes. However, its role on disease progression, complications and mortality among people with type 2 diabetes at diagnosis remains unclear.
Materials And Methods: We assessed the per allele impact of the rs7903146 T-allele on clinical characteristics and complication risk in 9231 individuals with type 2 diabetes at diagnosis and over a 10-year follow-up period.
J Ovarian Res
January 2025
Departments of Endocrinology, Sheri Kashmir Institute of Medical Sciences, Srinagar, J&K, India.
Background: A significant overlap in the pathophysiological features of polycystic ovary syndrome (PCOS) and type 2 diabetes mellitus (T2DM) has been reported; and insulin resistance is considered a central driver in both. The expression and hepatic clearance of insulin and subsequent glucose homeostasis are mediated by TCF7L2 via Wnt signaling. Studies have persistently associated TCF7L2 genetic variations with T2DM, however, its results on PCOS are sparse and inconsistent.
View Article and Find Full Text PDFCurr Issues Mol Biol
September 2024
Department of General Medical Practice, Semey Medical University, Semey 071400, Kazakhstan.
The aim of this study was to conduct a comparative analysis of the population frequencies of the minor allele of polymorphic variants in the genes (rs7903146) and (rs1801282), based on the genome-wide association studies analysis data associated with the risk of developing prediabetes, in an ethnically homogeneous Kazakh population compared to previously studied populations worldwide. This study utilized a genomic database consisting of 1800 ethnically Kazakh individuals who were considered in healthy condition. Whole-genome genotyping was performed using Illumina OmniChip 2.
View Article and Find Full Text PDFEndocr J
September 2024
Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
This umbrella review was conducted aiming to assess the association between genetic variations and the development of diabetic retinopathy (DR) by collecting and evaluating available systematic reviews and meta-analysis results. We evaluated the methodological quality using the Measurement Tool to Assess Systematic Reviews (AMSTAR) 2.0, estimated the summary effect size by using the random effects model and calculated the 95% prediction intervals (PIs).
View Article and Find Full Text PDFEndocrine
December 2024
National Research Centre Kurchatov Institute, Moscow, Russian Federation.
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