Genetic risk score is associated with T2DM and diabetes complications risks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F23%3A00083583" target="_blank" >RIV/00023001:_____/23:00083583 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/23:00130224 RIV/00216208:11310/23:10450073 RIV/00216208:11110/23:10450073
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0378111922007417" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378111922007417</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.gene.2022.146921" target="_blank" >10.1016/j.gene.2022.146921</a>
Alternative languages
Result language
angličtina
Original language name
Genetic risk score is associated with T2DM and diabetes complications risks
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30202 - Endocrinology and metabolism (including diabetes, hormones)
Result continuities
Project
<a href="/en/project/NV18-01-00046" target="_blank" >NV18-01-00046: Genetic score in prediction of diabetes and its complications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Gene
ISSN
0378-1119
e-ISSN
1879-0038
Volume of the periodical
849
Issue of the periodical within the volume
January 15
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
8
Pages from-to
"art. no. 146921"
UT code for WoS article
000870486700009
EID of the result in the Scopus database
2-s2.0-85139069393