184Are genetic risk factors clinically useful in prognostic models for type 2 diabetes mellitus?. (2nd September 2021)
- Record Type:
- Journal Article
- Title:
- 184Are genetic risk factors clinically useful in prognostic models for type 2 diabetes mellitus?. (2nd September 2021)
- Main Title:
- 184Are genetic risk factors clinically useful in prognostic models for type 2 diabetes mellitus?
- Authors:
- Buss, Vera Helen
Barr, Margo
Varnfield, Marlien
Harris, Mark - Abstract:
- Abstract: Background: Many prognostic models exist for the prediction of type 2 diabetes mellitus. Some of these include genetic risk factors. The objective of this review was to investigate whether including genetic variables in prediction models for type 2 diabetes mellitus is clinically useful. Methods: Studies were included if they reported on prognostic prediction models for type 2 diabetes mellitus. Seven medical and bioengineering databases were searched using terms regarding risk prediction and diabetes combined via Boolean operators. In studies including genetic variables, the c-statistics of genetic and non-genetic models were compared. Results: Seventy-six studies published between 2002 and 2019 were included in the review. Twenty of these (published 2008 to 2019) included genetic variables, namely deleterious alleles and specific small nuclear polymorphisms. Study samples represented the general population. When comparing genetic to non-genetic models, one study reported a statistically significantly greater c-statistic for the genetic and four for the non-genetic models. Adding genetic risk factors to a clinical model did not substantially increase the predictive accuracy of any study. Conclusions: The use of genetic data did not show any meaningful improvements in the predictive performance for the general population compared to clinical models. Studies using genetic data were often based on small sample sizes and not externally validated, raising concernsAbstract: Background: Many prognostic models exist for the prediction of type 2 diabetes mellitus. Some of these include genetic risk factors. The objective of this review was to investigate whether including genetic variables in prediction models for type 2 diabetes mellitus is clinically useful. Methods: Studies were included if they reported on prognostic prediction models for type 2 diabetes mellitus. Seven medical and bioengineering databases were searched using terms regarding risk prediction and diabetes combined via Boolean operators. In studies including genetic variables, the c-statistics of genetic and non-genetic models were compared. Results: Seventy-six studies published between 2002 and 2019 were included in the review. Twenty of these (published 2008 to 2019) included genetic variables, namely deleterious alleles and specific small nuclear polymorphisms. Study samples represented the general population. When comparing genetic to non-genetic models, one study reported a statistically significantly greater c-statistic for the genetic and four for the non-genetic models. Adding genetic risk factors to a clinical model did not substantially increase the predictive accuracy of any study. Conclusions: The use of genetic data did not show any meaningful improvements in the predictive performance for the general population compared to clinical models. Studies using genetic data were often based on small sample sizes and not externally validated, raising concerns regarding potential overfitting and lack of generalisability. Key messages: Currently, the clinical usefulness of genetic risk scores for type 2 diabetes mellitus seems quite limited. … (more)
- Is Part Of:
- International journal of epidemiology. Volume 50(2021)Supplement 1
- Journal:
- International journal of epidemiology
- Issue:
- Volume 50(2021)Supplement 1
- Issue Display:
- Volume 50, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2021-0050-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09-02
- Subjects:
- Epidemiology -- Periodicals
614.4 - Journal URLs:
- http://ije.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/ije/dyab168.103 ↗
- Languages:
- English
- ISSNs:
- 0300-5771
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.244000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19886.xml