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Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies
BACKGROUND: Several genetic risk scores (GRS) for type 2 diabetes (T2DM) have been published, but not replicated. We aimed to 1) replicate previous findings on the association between GRS on prevalence of T2DM and 2) assess the association between GRS and T2DM management in a sample of community-dwe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636836/ https://www.ncbi.nlm.nih.gov/pubmed/37950303 http://dx.doi.org/10.1186/s13098-023-01204-9 |
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author | Nagarajah, Sureka Alkandari, Abdullah Marques-Vidal, Pedro |
author_facet | Nagarajah, Sureka Alkandari, Abdullah Marques-Vidal, Pedro |
author_sort | Nagarajah, Sureka |
collection | PubMed |
description | BACKGROUND: Several genetic risk scores (GRS) for type 2 diabetes (T2DM) have been published, but not replicated. We aimed to 1) replicate previous findings on the association between GRS on prevalence of T2DM and 2) assess the association between GRS and T2DM management in a sample of community-dwelling people from Switzerland. METHODS: Four waves from a prospective study conducted in Lausanne. Seven GRS related to T2DM were selected, and compared between participants with and without T2DM, and between controlled and uncontrolled participants treated for T2DM. RESULTS: Data from 5426, 4017, 2873 and 2170 participants from the baseline, first, second and third follow-ups, respectively, was used. In all study periods, participants with T2DM scored higher than participants without T2DM in six out of seven GRS. Data from 367, 437, 285 and 207 participants with T2DM was used. In all study periods, approximately half of participants treated for T2DM did not achieve adequate fasting blood glucose or HbA(1)c levels, and no difference between controlled and uncontrolled participants was found for all seven GRS. Power analyses showed that most GRS needed a sample size above 1000 to consider the difference between controlled and uncontrolled participants as statistically significant at p = 0.05. CONCLUSION: In this study, we confirmed the association between most published GRS and diabetes. Conversely, no consistent association between GRS and diabetes control was found. Use of GRS to manage patients with T2DM in clinical practice is not justified. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01204-9. |
format | Online Article Text |
id | pubmed-10636836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106368362023-11-11 Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies Nagarajah, Sureka Alkandari, Abdullah Marques-Vidal, Pedro Diabetol Metab Syndr Research BACKGROUND: Several genetic risk scores (GRS) for type 2 diabetes (T2DM) have been published, but not replicated. We aimed to 1) replicate previous findings on the association between GRS on prevalence of T2DM and 2) assess the association between GRS and T2DM management in a sample of community-dwelling people from Switzerland. METHODS: Four waves from a prospective study conducted in Lausanne. Seven GRS related to T2DM were selected, and compared between participants with and without T2DM, and between controlled and uncontrolled participants treated for T2DM. RESULTS: Data from 5426, 4017, 2873 and 2170 participants from the baseline, first, second and third follow-ups, respectively, was used. In all study periods, participants with T2DM scored higher than participants without T2DM in six out of seven GRS. Data from 367, 437, 285 and 207 participants with T2DM was used. In all study periods, approximately half of participants treated for T2DM did not achieve adequate fasting blood glucose or HbA(1)c levels, and no difference between controlled and uncontrolled participants was found for all seven GRS. Power analyses showed that most GRS needed a sample size above 1000 to consider the difference between controlled and uncontrolled participants as statistically significant at p = 0.05. CONCLUSION: In this study, we confirmed the association between most published GRS and diabetes. Conversely, no consistent association between GRS and diabetes control was found. Use of GRS to manage patients with T2DM in clinical practice is not justified. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01204-9. BioMed Central 2023-11-10 /pmc/articles/PMC10636836/ /pubmed/37950303 http://dx.doi.org/10.1186/s13098-023-01204-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nagarajah, Sureka Alkandari, Abdullah Marques-Vidal, Pedro Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title | Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title_full | Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title_fullStr | Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title_full_unstemmed | Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title_short | Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
title_sort | genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636836/ https://www.ncbi.nlm.nih.gov/pubmed/37950303 http://dx.doi.org/10.1186/s13098-023-01204-9 |
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