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@article{2249415,
author = {Hubacek, Jaroslav A. and Dlouha, Lucie and Adamkova, Vera and Dlouha, Dana and Pácal, Lukáš and Kaňková, Kateřina and Galuška, David and Lanska, Vera and Veleba, Jiri and Pelikanova, Terezie},
article_location = {Amsterdam},
article_number = {January 2023},
doi = {http://dx.doi.org/10.1016/j.gene.2022.146921},
keywords = {Diabetes; Polymorphism; Complications; Gene score},
language = {eng},
issn = {0378-1119},
journal = {Gene},
title = {Genetic risk score is associated with T2DM and diabetes complications risks},
url = {https://www.sciencedirect.com/science/article/pii/S0378111922007417?via%3Dihub},
volume = {849},
year = {2023}
}
TY - JOUR
ID - 2249415
AU - Hubacek, Jaroslav A. - Dlouha, Lucie - Adamkova, Vera - Dlouha, Dana - Pácal, Lukáš - Kaňková, Kateřina - Galuška, David - Lanska, Vera - Veleba, Jiri - Pelikanova, Terezie
PY - 2023
TI - Genetic risk score is associated with T2DM and diabetes complications risks
JF - Gene
VL - 849
IS - January 2023
SP - 1-8
EP - 1-8
PB - Elsevier Science
SN - 03781119
KW - Diabetes
KW - Polymorphism
KW - Complications
KW - Gene score
UR - https://www.sciencedirect.com/science/article/pii/S0378111922007417?via%3Dihub
N2 - Background: Type 2 diabetes mellitus (T2DM) is a prototypical complex disease with polygenic architecture playing an important role in determining susceptibility to develop the disease (and its complications) in subjects exposed to modifiable lifestyle factors. A current challenge is to quantify the degree of the individual's genetic risk using genetic risk scores (GRS) capturing the results of genome-wide association studies while incorporating possible ethnicity- or population-specific differences. Methods: This study included three groups of T2DM (T2DM-I, N = 1,032; T2DM-II, N = 353; and T2DM-III, N = 399) patients and 2,481 diabetes-free subjects. The status of the microvascular and macrovascular diabetes complications were known for the T2DM-I patients. Overall, 21 single nucleotide polymorphisms (SNPs) were analyzed, and selected subsets were used to determine the GRS (both weighted - wGRS and unweighted - uGRS) for T2DM risk predictions (6 SNPs) and for predicting the risks of complications (7 SNPs). Results: The strongest T2DM markers (P < 0.0001) were within the genes for TCF7L2 (transcription factor 7-like 2), FTO (fat mass and obesity associated protein) and ARAP1 (ankyrin repeat and PH domain 1). The T2DM-I subjects with uGRS values greater (Odds Ratio, 95 % Confidence Interval) than six had at least twice (2.00, 1.72-2.32) the risk of T2DM development (P < 0.0001), and these results were confirmed in the independent groups (T2DM-II 1.82, 1.45-2.27; T2DM-III 2.63, 2.11-3.27). The wGRS (>0.6) further improved (P < 0.000001) the risk estimations for all three T2DM groups. The uGRS was also a significant predictor of neuropathy (P < 0.0001), nephropathy (P < 0.005) and leg ischemia (P < 0.0005). Conclusions: If carefully selected and specified, GRS, both weighted and unweighted, could be significant predictors of T2DM development, as well as the diabetes complications development.
ER -
HUBACEK, Jaroslav A., Lucie DLOUHA, Vera ADAMKOVA, Dana DLOUHA, Lukáš PÁCAL, Kateřina KAŇKOVÁ, David GALUŠKA, Vera LANSKA, Jiri VELEBA a Terezie PELIKANOVA. Genetic risk score is associated with T2DM and diabetes complications risks. \textit{Gene}. Amsterdam: Elsevier Science, 2023, roč.~849, January 2023, s.~1-8. ISSN~0378-1119. Dostupné z: https://dx.doi.org/10.1016/j.gene.2022.146921.
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