T2DM/CKD genetic risk scores and the progression of diabetic
kidney disease in T2DM subjects

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T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects

Přehled o publikaci

J 2024

T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects

GALUŠKA, David; Lukáš PÁCAL; Katarína CHALÁSOVÁ; Petra DIVÁCKÁ; Jitka ŘEHOŘOVÁ et. al.

Basic information

Original name

T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects

Authors

GALUŠKA, David; Lukáš PÁCAL; Katarína CHALÁSOVÁ; Petra DIVÁCKÁ; Jitka ŘEHOŘOVÁ; Jan SVOJANOVSKÝ; Jaroslav A. HUBACEK; Vera LANSKA and Kateřina KAŇKOVÁ

Edition

Gene, Amsterdam, Elsevier Science, 2024, 0378-1119

Other information

Language

English

Type of outcome

Article in a journal

Country of publisher

Netherlands

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Organization

Lékařská fakulta – Repository – Repository

DOI

http://dx.doi.org/10.1016/j.gene.2024.148724

UT WoS

001262948200001

EID Scopus

2-s2.0-85196798829

Keywords in English

Genetic risk score; Diabetic kidney disease; Diabetes mellitus; Genetic predisposition; Single nucleotide polymorphism

Links

LX22NPO5104, research and development project. MUNI/A/1587/2023, interní kód Repo. NV18-01-00046, research and development project.

Changed: 14/2/2025 00:50, RNDr. Daniel Jakubík

Abstract

V originále

lt; 0.02). Our GRS did not outperform classical clinical factors in predicting progression to DKD, MCVE or ACM. More precisely, we observed an increase only in the area under the curve (AUC) in the model combining genetic and clinical factors compared to the clinical model alone, with values of 0.582 (95 % CI 0.487-0.676) and 0.645 (95 % CI 0.556-0.735), respectively. However, this difference did not reach statistical significance (P = 0.06). This study highlights the complexity of genetic predictors and their interplay with clinical factors in DKD progression. Despite the promise of personalised medicine through genetic markers, our findings suggest that current clinical factors remain paramount in the prediction of DKD. In conclusion, our results indicate that GWAS-derived GRSs for T2DM and CKD do not offer improved predictive ability over traditional clinical factors in the studied Czech T2DM population.

Files attached

https://is.muni.cz/publication/2419841/T2DM_CKD_genetic_risk_scores_and_the_progression_of_diabetic_kidney_disease_in_T2DM_subjects.pdf

Cite

GALUŠKA, David; Lukáš PÁCAL; Katarína CHALÁSOVÁ; Petra DIVÁCKÁ; Jitka ŘEHOŘOVÁ; Jan SVOJANOVSKÝ; Jaroslav A. HUBACEK; Vera LANSKA and Kateřina KAŇKOVÁ. T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects. Gene. Amsterdam: Elsevier Science, 2024, vol. 927, November 2024, p. 1-8. ISSN 0378-1119. Available from: https://dx.doi.org/10.1016/j.gene.2024.148724.

@article{62668,
   author = {Galuška, David and Pácal, Lukáš and Chalásová, Katarína and Divácká, Petra and Řehořová, Jitka and Svojanovský, Jan and Hubacek, Jaroslav A. and Lanska, Vera and Kaňková, Kateřina},
   article_location = {Amsterdam},
   article_number = {November 2024},
   doi = {http://dx.doi.org/10.1016/j.gene.2024.148724},
   keywords = {Genetic risk score; Diabetic kidney disease; Diabetes mellitus; Genetic predisposition; Single nucleotide polymorphism},
   language = {eng},
   issn = {0378-1119},
   journal = {Gene},
   title = {T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects},
   url = {https://www.sciencedirect.com/science/article/pii/S037811192400605X?via%3Dihub},
   volume = {927},
   year = {2024}
}

TY  - JOUR
ID  - 62668
AU  - Galuška, David - Pácal, Lukáš - Chalásová, Katarína - Divácká, Petra - Řehořová, Jitka - Svojanovský, Jan - Hubacek, Jaroslav A. - Lanska, Vera - Kaňková, Kateřina
PY  - 2024
TI  - T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects
JF  - Gene
VL  - 927
IS  - November 2024
SP  - 1-8
EP  - 1-8
PB  - Elsevier Science
SN  - 0378-1119
KW  - Genetic risk score
KW  - Diabetic kidney disease
KW  - Diabetes mellitus
KW  - Genetic predisposition
KW  - Single nucleotide polymorphism
UR  - https://www.sciencedirect.com/science/article/pii/S037811192400605X?via%3Dihub
N2  - lt; 0.02). Our GRS did not outperform classical clinical factors in predicting progression to DKD, MCVE or ACM. More precisely, we observed an increase only in the area under the curve (AUC) in the model combining genetic and clinical factors compared to the clinical model alone, with values of 0.582 (95 % CI 0.487-0.676) and 0.645 (95 % CI 0.556-0.735), respectively. However, this difference did not reach statistical significance (P = 0.06). This study highlights the complexity of genetic predictors and their interplay with clinical factors in DKD progression. Despite the promise of personalised medicine through genetic markers, our findings suggest that current clinical factors remain paramount in the prediction of DKD. In conclusion, our results indicate that GWAS-derived GRSs for T2DM and CKD do not offer improved predictive ability over traditional clinical factors in the studied Czech T2DM population.
ER  -

GALUŠKA, David; Lukáš PÁCAL; Katarína CHALÁSOVÁ; Petra DIVÁCKÁ; Jitka ŘEHOŘOVÁ; Jan SVOJANOVSKÝ; Jaroslav A. HUBACEK; Vera LANSKA and Kateřina KAŇKOVÁ. T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects. \textit{Gene}. Amsterdam: Elsevier Science, 2024, vol.~927, November 2024, p.~1-8. ISSN~0378-1119. Available from: https://dx.doi.org/10.1016/j.gene.2024.148724.