Fueled by the successes of genome-wide association studies, numerous studies have investigated the predictive ability of genetic risk models in type 2 diabetes. In this paper, we review these studies from a methodological perspective, focusing on the variables included in the risk models as well as the study designs and populations investigated. We argue and show that differences in study design and characteristics of the study population have an impact on the observed predictive ability of risk models. This observation emphasizes that genetic risk prediction studies should be conducted in those populations in which the prediction models will ultimately be applied, if proven useful. Of all genetic risk prediction studies to date, only a few...
Type 2 diabetes (T2D) has become a leading public health challenge worldwide. To date, a total of 83...
Purpose of reviewType 2 diabetes (T2D) is a multifactorial, heritable syndrome characterized by dysr...
A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) andmetabolite biomark...
textabstractFueled by the successes of genome-wide association studies, numerous studies have invest...
Common complex diseases are among the top leading causes of death globally. Due to their heavy burde...
The aim of this study was to measure the impact of genetic data in improving the prediction of type ...
We developed a 65 type 2 diabetes (T2D) variant-weighted gene score to examine the impact on T2D ris...
We developed a 65 type 2 diabetes (T2D) variant–weighted gene score to examine the impact on T2D ris...
Type 2 Diabetes condition is a multifactorial disorder involves the convergence of genetics, environ...
OBJECTIVE-Prediction of type 2 diabetes based on genetic testing might improve identification of hig...
<div><p>Recent genome-wide association studies (GWAS) have identified several novel single nucleotid...
OBJECTIVE: A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) and metabo...
OBJECTIVE-Prediction of type 2 diabetes based on genetic testing might improve identification of hig...
<div><p>Lifestyle and genetic factors play a large role in the development of Type 2 Diabetes (T2D)....
Genome-wide association studies (GWAS) may have reached their limit of detecting common type 2 diabe...
Type 2 diabetes (T2D) has become a leading public health challenge worldwide. To date, a total of 83...
Purpose of reviewType 2 diabetes (T2D) is a multifactorial, heritable syndrome characterized by dysr...
A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) andmetabolite biomark...
textabstractFueled by the successes of genome-wide association studies, numerous studies have invest...
Common complex diseases are among the top leading causes of death globally. Due to their heavy burde...
The aim of this study was to measure the impact of genetic data in improving the prediction of type ...
We developed a 65 type 2 diabetes (T2D) variant-weighted gene score to examine the impact on T2D ris...
We developed a 65 type 2 diabetes (T2D) variant–weighted gene score to examine the impact on T2D ris...
Type 2 Diabetes condition is a multifactorial disorder involves the convergence of genetics, environ...
OBJECTIVE-Prediction of type 2 diabetes based on genetic testing might improve identification of hig...
<div><p>Recent genome-wide association studies (GWAS) have identified several novel single nucleotid...
OBJECTIVE: A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) and metabo...
OBJECTIVE-Prediction of type 2 diabetes based on genetic testing might improve identification of hig...
<div><p>Lifestyle and genetic factors play a large role in the development of Type 2 Diabetes (T2D)....
Genome-wide association studies (GWAS) may have reached their limit of detecting common type 2 diabe...
Type 2 diabetes (T2D) has become a leading public health challenge worldwide. To date, a total of 83...
Purpose of reviewType 2 diabetes (T2D) is a multifactorial, heritable syndrome characterized by dysr...
A genetic risk score (GRS) comprised of single nucleotide polymorphisms (SNPs) andmetabolite biomark...