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de Miguel-Yanes, J.M.* ; Shrader, P.* ; Pencina, M.J.* ; Fox, C.S.* ; Manning, A.K.* ; Grant, R.W.* ; Dupuis, J.* ; Florez, J.C* ; D'Agostino, R.B, Sr.* ; Cupples, L.A.* ; Meigs, J.B* ; MAGIC Investigators (Grallert, H. ; Meisinger, C. ; Gieger, C. ; Thorand, B. ; Wichmann, H.-E. ; Illig, T.) ; DIAGRAM Consortium (Huth, C. ; Grallert, H. ; Gieger, C. ; Klopp, N. ; Petersen, A.-K. ; Thorand, B. ; Wichmann, H.-E. ; Illig, T.)

Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms.

Diabetes Care 34, 121-125 (2011)
DOI Verlagsversion bestellen
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
To test if knowledge of type 2 diabetes genetic variants improves disease prediction. We tested 40 single nucleotide polymorphisms (SNPs) associated with diabetes in 3,471 Framingham Offspring Study subjects followed over 34 years using pooled logistic regression models stratified by age (<50 years, diabetes cases = 144; or ≥50 years, diabetes cases = 302). Models included clinical risk factors and a 40-SNP weighted genetic risk score. We tested 40 single nucleotide polymorphisms (SNPs) associated with diabetes in 3,471 Framingham Offspring Study subjects followed over 34 years using pooled logistic regression models stratified by age (<50 years, diabetes cases = 144; or ≥50 years, diabetes cases = 302). Models included clinical risk factors and a 40-SNP weighted genetic risk score. Knowledge of common genetic variation appropriately reclassifies younger people for type 2 diabetes risk beyond clinical risk factors but not older people.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter association analysis; susceptibility loci; variants; mellitus
ISSN (print) / ISBN 0149-5992
e-ISSN 1935-5548
Zeitschrift Diabetes Care
Quellenangaben Band: 34, Heft: 1, Seiten: 121-125 Artikelnummer: , Supplement: ,
Verlag American Diabetes Association
Verlagsort Alexandria, Va.
Begutachtungsstatus Peer reviewed