The Arg972 variant in insulin receptor substrate-1 is associated with an increased risk of secondary failure to sulfonylurea in patients with type 2 diabetes

Variants of the interleukin-10 promoter gene are associated with obesity and insulin resistance but not type 2 diabetes in caucasian italian subjects

Interleukin (IL)-10 is a major anti-inflammatory cytokine that has been associated with obesity and type 2 diabetes. The three polymorphisms -1082G/A, -819C/T, and -592C/A in the IL10 promoter were reported to influence IL10 transcription. We investigated whether these polymorphisms were associated with type 2 diabetes and related traits in a cohort of Italian Caucasians comprising 551 type 2 diabetic and 1,131 control subjects. The -819C/T and -592C/A polymorphisms were in perfect linkage disequilibrium (r(2) = 1.0). The -1082G/A polymorphism was not associated with type 2 diabetes or related traits. Although the -592C/A polymorphism was not associated with type 2 diabetes, nondiabetic homozygous carriers of the A allele showed increased BMI and insulin resistance and lower plasma IL-10 levels compared with the other genotypes. In the nondiabetic group, the ATA haplotype was associated with an increased risk for obesity (odds ratio 1.28 [95% CI 1.02-1.60]; P = 0.02). The ATA/ATA composite genotype was associated with an increased risk for obesity (1.96 [1.16-3.31]; P = 0.01) and insulin resistance (1.99 [1.12-3.53]; P = 0.01). This study suggests that polymorphisms and haplotypes of the IL10 promoter may be associated with obesity and insulin resistance in a large sample of Italian Caucasians.

Pharmacogenetics and drug development: the path to safer and more effective drugs

Pharmacogenetics provides opportunities for informed decision-making along the pharmaceutical pipeline. There is a growing literature of retrospective studies of marketed medicines that describe efficacy or safety on the basis of patient genotypes. These studies emphasize the potential prospective use of genome information to enhance success in finding new medicines. An example of a prospective efficacy pharmacogenetic Phase-IIA proof-of-concept study is described. Inserting a rapidly performed efficacy pharmacogenetic step after initial clinical data are obtained can provide confidence for a commitment to full drug development. The rapid identification of adverse events during and after drug development using genomic mapping tools is also reviewed.