Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes.

Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes. Research Abstract Details 

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Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes. Abstract Text:

Qing Lu,Robert C Elston,

Current extensive genetic research into common complex diseases, especially with the completion of genome-wide association studies, is bringing to light many novel genetic risk loci. These new discoveries, along with previously known genetic risk variants, offer an important opportunity for researchers to improve health care. We describe a method of quick evaluation of these new findings for potential clinical practice by designing a new predictive genetic test, estimating its classification accuracy, and determining the sample size required for the verification of this accuracy. The proposed predictive test is asymptotically more powerful than tests built on any other existing method and can be extended to scenarios where loci are linked or interact. We illustrate the approach for the case of type 2 diabetes. We incorporate recently discovered risk factors into the proposed test and find a potentially better predictive genetic test. The area under the receiver operating characteristic (ROC) curve (AUC) of the proposed test is estimated to be higher (AUC = 0.671) than for the existing test (AUC = 0.580).

Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes. Publishing Authors By Initials

Q Lu,RC Elston,

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Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: American journal of human genetics

VOLUME: 82

Page Numbers: 641-51

Journal Abbreviation: Am. J. Hum. Genet.

ISSN: 1537-6605

DAY: 5

MONTH: Mar

YEAR: 2008

Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes.

AFFILIATION: Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA.

Country: United States

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MEDLINETA: Am J Hum Genet

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