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Review
. 2011 Dec;11(6):511-8.
doi: 10.1007/s11892-011-0235-6.

A methodological perspective on genetic risk prediction studies in type 2 diabetes: recommendations for future research

Sara M Willems  1 , Raluca Mihaescu, Eric J G Sijbrands, Cornelia M van Duijn, A Cecile J W Janssens
Affiliations
Review

A methodological perspective on genetic risk prediction studies in type 2 diabetes: recommendations for future research

Sara M Willems et al. Curr Diab Rep. 2011 Dec.

Abstract

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 were conducted in populations that might be relevant for targeting preventive interventions.

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Figures

Fig. 1
Fig. 1
The area under the receiver operating characteristic curve (AUC) versus the number of single nucleotide polymorphisms included in the genetic risk models
Fig. 2
Fig. 2
The area under the receiver operating characteristic curve (AUC) of the genetic and clinical models in relation to differences in mean age, percentage of men, and mean body mass index (BMI) between patients and controls
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References

    1. U.S. Census Bureau: General demographic characteristics, 2009 population estimates, United States. Available at http://factfinder.census.gov/servlet/QTTable?-ds_name=PEP_2009_EST&-qr_n.... Accessed June 2011.
    1. Centers for Disease Control and Prevention: Percentage of civilian, noninstitutionalized population with diagnosed diabetes, by age, United States, 1980–2009. Available at http://www.cdc.gov/diabetes/statistics/prev/national/figbyage.htm. Accessed June 2011.
    1. Centers for Disease Control and Prevention: Age-adjusted percentage of civilian noninstitutionalized population with diagnosed diabetes, by sex, United States, 1980–2009. Available at http://www.cdc.gov/diabetes/statstics/prev/national/figbysex.htm. Accessed June 2011.
    1. Centers for Disease Control and Prevention: Prevalence of overweight, obesity, and extreme obesity among adults: United States, trends 1976–1980 through 2007–2008. Available at http://www.cdc.gov/nchs/data/hestat/obesity_adult_07_08/obesity_adult_07.... Accessed June 2011.
    1. Flegal KM, Carroll MD, Ogden CL, et al. Prevalence and trends in obesity among US adults, 1999–2008. JAMA. 2010;303:235–41. doi: 10.1001/jama.2009.2014. - DOI - PubMed