2023
Genetic risk score is associated with T2DM and diabetes complications risks
HUBACEK, Jaroslav A.; Lucie DLOUHA; Vera ADAMKOVA; Dana DLOUHA; Lukáš PÁCAL et al.Základní údaje
Originální název
Genetic risk score is associated with T2DM and diabetes complications risks
Autoři
HUBACEK, Jaroslav A.; Lucie DLOUHA; Vera ADAMKOVA; Dana DLOUHA; Lukáš PÁCAL; Kateřina KAŇKOVÁ; David GALUŠKA ORCID; Vera LANSKA; Jiri VELEBA a Terezie PELIKANOVA
Vydání
Gene, Amsterdam, Elsevier Science, 2023, 0378-1119
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30101 Human genetics
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.600
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/23:00130224
Organizační jednotka
Lékařská fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
Diabetes; Polymorphism; Complications; Gene score
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 14. 2. 2024 13:07, Mgr. Tereza Miškechová
Anotace
V originále
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.
Návaznosti
| MUNI/A/1370/2022, interní kód MU |
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| MUNI/A/1391/2021, interní kód MU |
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| NV18-01-00046, projekt VaV |
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