Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/34423
Title: Genetic risk scores identify people at high risk of developing diabetic kidney disease: A systematic review.
Austin Authors: Ali, Aleena Shujaat;Pham, Cecilia ;Morahan, Grant;Ekinci, Elif Ilhan
Affiliation: Department of Medicine, The University of Melbourne, Melbourne, Australia.;Australian Centre for Accelerating Diabetes Innovations, Melbourne, Australia.
Australian Centre for Accelerating Diabetes Innovations, Melbourne, Australia.;Diabetes Research Foundation, The University of Western Australia, Perth, Australia.
Department of Medicine, The University of Melbourne, Melbourne, Australia.;Australian Centre for Accelerating Diabetes Innovations, Melbourne, Australia.
Endocrinology
Issue Date: 1-Dec-2023
Date: 2023
Publication information: The Journal of Clinical Endocrinology and Metabolism 2023-12-01
Abstract: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD). Measures to prevent and treat DKD require better identification of patients most at risk. In this systematic review, we summarise the existing evidence of genetic risk scores (GRSs) and their utility for predicting DKD in people with type 1 or type 2 diabetes. We searched MEDLINE, Embase, Web of Science and Cochrane Reviews in June 2022 to identify all existing and relevant literature. Main data items sought were study design, sample size, population, single nucleotide polymorphisms (SNPs) of interest, DKD-related outcomes, and relevant summary measures of result. The Critical Appraisal Skills Programme checklist was used to evaluate the methodological quality of studies. We identified 400 citations of which 15 were included in this review. Overall, seven studies had positive results, five had mixed results and three had negative results. Most studies with the strongest methodological quality (nā€‰=ā€‰9) reported statistically significant and favourable findings of a GRS' association with at least one measure of DKD. This systematic review presents evidence of the utility of GRSs to identify people with diabetes that are at high risk of developing DKD. In practice, a robust GRS could be used at the first clinical encounter with a person living with diabetes in order to stratify their risk of complications. Further prospective research is needed.
URI: https://ahro.austin.org.au/austinjspui/handle/1/34423
DOI: 10.1210/clinem/dgad704
ORCID: 0000-0002-1485-9153
0000-0003-2372-395X
Journal: The Journal of Clinical Endocrinology and Metabolism
PubMed URL: 38039081
ISSN: 1945-7197
Type: Journal Article
Subjects: diabetic kidney disease
genetic risk score
polygenic risk score
Appears in Collections:Journal articles

Show full item record

Page view(s)

34
checked on Oct 8, 2024

Google ScholarTM

Check


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.