publication . Article . 2009

the effect of multiple genetic variants in predicting the risk of type 2 diabetes

Lu, Qing; Song, Yeunjoo; Wang, Xuefeng; Won, Sungho; Cui, Yuehua; Elston, Robert C;
Open Access
  • Published: 01 Dec 2009 Journal: BMC Proceedings, volume 3 (eissn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
Abstract
While recently performed genome-wide association studies have advanced the identification of genetic variants predisposing to type 2 diabetes (T2D), the potential application of these novel findings for disease prediction and prevention has not been well studied. Diabetes prediction and prevention have become urgent issues owing to the rapidly increasing prevalence of diabetes and its associated mortality, morbidity, and health care cost. New prediction approaches using genetic markers could facilitate early identification of high risk sub-groups of the population so that appropriate prevention methods could be effectively applied to delay, or even prevent, dise...
Subjects
free text keywords: General Biochemistry, Genetics and Molecular Biology, General Medicine, Disease, Bioinformatics, Type 2 diabetes, medicine.disease, medicine, Diabetes mellitus, Health care, business.industry, business, Genetic marker, Population, education.field_of_study, education, Genetic association, Framingham Heart Study, Proceedings
Funded by
WT
Project
  • Funder: Wellcome Trust (WT)
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NSF| Statistical methods for mapping imprinted genes underlying complex traits
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0707031
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences
,
NIH| Case Comprehensive Cancer Center Support Grant
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 3P30CA043703-20S1
  • Funding stream: NATIONAL CANCER INSTITUTE

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