[HTML][HTML] An improved genome-wide polygenic score model for predicting the risk of type 2 diabetes

W Liu, Z Zhuang, W Wang, T Huang, Z Liu - Frontiers in genetics, 2021 - frontiersin.org
Polygenic risk score (PRS) has been shown to be predictive of disease risk such as type 2
diabetes (T2D). However, the existing studies on genetic prediction for T2D only had limited …

[HTML][HTML] The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort

D Shigemizu, T Abe, T Morizono, TA Johnson… - PLoS …, 2014 - journals.plos.org
Recent genome-wide association studies (GWAS) have identified several novel single
nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2D). Various models …

[HTML][HTML] Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: a machine learning analysis of population-based 10-year …

SJ Hahn, S Kim, YS Choi, J Lee, J Kang - EBioMedicine, 2022 - thelancet.com
Background Previous work on predicting type 2 diabetes by integrating clinical and genetic
factors has mostly focused on the Western population. In this study, we use genome-wide …

Genomic risk score provides predictive performance for type 2 diabetes in the UK biobank

X Chen, C Liu, S Si, Y Li, W Li, T Yuan, F Xue - Acta Diabetologica, 2021 - Springer
Abstract Aims Type 2 diabetes (T2D) is affected by a combination of genetic and
environmental factors. However, the comprehensive genomic risk scores (GRSs) for T2D …

Polygenic prediction of type 2 diabetes in Africa

T Chikowore, K Ekoru, M Vujkovi, D Gill, F Pirie… - Diabetes …, 2022 - Am Diabetes Assoc
OBJECTIVE Polygenic prediction of type 2 diabetes (T2D) in continental Africans is
adversely affected by the limited number of genome-wide association studies (GWAS) of …

[HTML][HTML] Personalized risk prediction for type 2 diabetes: the potential of genetic risk scores

K Läll, R Mägi, A Morris, A Metspalu, K Fischer - Genetics in Medicine, 2017 - nature.com
Purpose: Using effect estimates from genome-wide association studies (GWAS), we
identified a genetic risk score (GRS) that has the strongest association with type 2 diabetes …

[HTML][HTML] Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes

CHT Tam, JSK Ho, Y Wang, VKL Lam, HM Lee… - PloS one, 2013 - journals.plos.org
Background Recent genome-wide association studies (GWAS) identified more than 70
novel loci for type 2 diabetes (T2D), some of which have been widely replicated in Asian …

[HTML][HTML] Multi-trait genomic risk stratification for type 2 diabetes

PD Rohde, M Nyegaard, M Kjolby, P Sørensen - Frontiers in Medicine, 2021 - frontiersin.org
Type 2 diabetes mellitus (T2DM) is continuously rising with more disease cases every year.
T2DM is a chronic disease with many severe comorbidities and therefore remains a burden …

[HTML][HTML] Genetic risk profiling for prediction of type 2 diabetes

R Mihaescu, J Meigs, E Sijbrands, AC Janssens - PLoS Currents, 2011 - ncbi.nlm.nih.gov
Abstract Type 2 diabetes (T2D) is a common disease caused by a complex interplay
between many genetic and environmental factors. Candidate gene studies and recent …

Perspectives on genetic studies of type 2 diabetes from the genome‐wide association studies era to precision medicine

M Imamura, S Maeda - Journal of Diabetes Investigation, 2024 - Wiley Online Library
Genome‐wide association studies (GWAS) have facilitated a substantial and rapid increase
in the number of confirmed genetic susceptibility variants for complex diseases …