Association analysis of Krüppel-like factor 11 variants with type 2 diabetes in Pima Indians.
CONTEXT: Krüppel-like factor 11 (KLF11) is a transcription factor of the zinc finger domain family that has been shown to regulate expression of the insulin gene. An initial study reported that a KLF11 variant predicting a Q62R was associated with type 2 diabetes (T2D) in French Caucasians; however, subsequent studies have failed to identify an association between this variant and T2D in subjects from a similar Northern-European ancestry. OBJECTIVE: We sought to determine whether the Q62R or other variants within KLF11 were associated with T2D in Pima Indians, a population with an extremely high prevalence of this disease. DESIGN, SETTING, AND SUBJECTS: KLF11 was sequenced in 24 Pima Indians to identify potentially novel variants. There were 18 variants genotyped in a family-based sample of 1337 Pima Indians to analyze the linkage disequilibrium pattern of this gene and identify representative variants. Four representative variants were further genotyped in a population-based sample of 3501 full-heritage Pima Indians for association analyses. Among these subjects, 413 had undergone metabolic studies when they were nondiabetic to measure traits that predict T2D. RESULTS: Neither the Q62R nor any other common variant in KLF11 was associated with T2D in the Pima population. In addition, no variant was associated with insulin secretion or insulin-stimulated glucose disposal rate. CONCLUSIONS: Common variation in KLF11 variation does not appear to influence the population-based risk for developing T2D among full-heritage Pima Indians. Thus, KLF11 is unlikely to play a major role in the etiology of T2D among this Native American population.[1]References
- Association analysis of Krüppel-like factor 11 variants with type 2 diabetes in Pima Indians. Ma, L., Hanson, R.L., Que, L.N., Mack, J.L., Franks, P.W., Infante, A.M., Kobes, S., Bogardus, C., Baier, L.J. J. Clin. Endocrinol. Metab. (2008) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg