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The Journal of Clinical Endocrinology & Metabolism Vol. 85, No. 4 1606-1610
Copyright © 2000 by The Endocrine Society


Original Studies

Studies of the Variability of the Genes Encoding the Insulin-Like Growth Factor I Receptor and Its Ligand in Relation to Type 2 Diabetes Mellitus1

Søren K. Rasmussen, Corinne Lautier2, Lars Hansen, Søren M. Echwald, Torben Hansen, Claus T. Ekstrøm, Søren A. Urhammer, Knut Borch-Johnsen, Florin Grigorescu, Robert J. Smith and Oluf Pedersen

Steno Diabetes Center and Hagedorn Research Institute (S.K.R., L.H., S.M.E., T.H., C.T.E., S.A.U., K.B.-J., O.P.), DK-2820, Gentofte, Denmark; Institut Universitaire de Recherche Clinique, Molecular Endocrinology Laboratory (C.L., F.G.), 34093 Montpellier, France; Joslin Diabetes Center, Harvard Medical School (R.J.S.), Boston, Massachusetts 02215; and Center of Preventive Medicine, Glostrup University Hospital (K.B.-J.), DK-2820 Glostrup, Denmark

Address all correspondence and requests for reprints to: Søren K. Rasmussen, M.Sc., Steno Diabetes Center and Hagedorn Research Institute, Niels Steensens Vej 2-6, DK-2820, Gentofte, Denmark.

Insulin-like growth factor I (IGF-I) is an important regulator of many aspects of growth, differentiation, and development, and as low birth weight has been associated with impaired glucose tolerance and overt type 2 diabetes in adult life, we considered the genes encoding the IGF-I and the IGF-I receptor (IGF-IR) as candidates for low birth weight, insulin resistance, and type 2 diabetes. Here we report the mutational analysis of the coding regions of the IGF-I and IGF-IR performed on genomic DNA from probands of 82 Danish type 2 diabetic families. No mutations predicting changes in the amino acid sequences of the IGF-I or IGF-IR genes were detected, but several silent and intronic polymorphisms were found. The impact of the most prevalent polymorphism, GAG1013GAA of the IGF-IR, was evaluated in a population-based sample of 349 young healthy subjects, where the variant had an allele frequency of 0.44 (95% confidence interval, 0.40–0.48). No significant relationships between this variant and birth weight, birth length, or insulin sensitivity index were detected. In addition, we did not observe any significant differences in allelic frequencies of the codon 1013 variant between 395 type 2 diabetic patients (allele frequency, 0.52; 95% confidence interval, 0.49–0.55) and 238 matched glucose-tolerant control subjects (allelic frequency, 0.47; 95% confidence interval, 0.43–0.50). In conclusion, variability in the coding regions of IGF-I and the IGF-IR does not associate with reduced birth weight, insulin sensitivity index, or type 2 diabetes in the Danish population.




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