Genetic Variance in the Adiponutrin Gene Family and Childhood Obesity

AIM: The adiponutrin gene family consists of five genes (PNPLA1-5) coding for proteins with both lipolytic and lipogenic properties. PNPLA3 has previously been associated with adult obesity. Here we investigated the possible association between genetic variants in these genes and childhood and adolescent obesity. METHODS/RESULTS: Polymorphisms in the five genes of the adiponutrin gene family were selected and genotyped using the Sequenom platform in a childhood and adolescent obesity case-control study. Six variants in PNPLA1 showed association with obesity (rs9380559, rs12212459, rs1467912, rs4713951, rs10947600, and rs12199580, p0.05). When analyzing these SNPs in relation to phenotypes, two SNPs in the PNPLA3 gene showed association with insulin sensitivity (rs12483959: beta = -0.053, p = 0.016, and rs2072907: beta = -0.049, p = 0.024). No associations were seen for PNPLA2, PNPLA4, and PNPLA5. CONCLUSIONS: Genetic variation in the adiponutrin gene family does not seem to contribute strongly to obesity in children and adolescents. PNPLA1 exhibited a modest effect on obesity and PNPLA3 on insulin sensitivity. These data, however, require confirmation in other cohorts and ethnic groups

Variants in the calpain-10 gene predispose to insulin resistance and elevated free fatty acid levels.

The calpain-10 gene (CAPN10) has been associated with type 2 diabetes, but information on molecular and physiological mechanisms explaining this association is limited. Here we addressed this question by studying the role of CAPN10 for phenotypes associated with type 2 diabetes and free fatty acid (FFA) metabolism. Among 395 type 2 diabetic patients and 298 nondiabetic control subjects from Finland, the SNP-43 allele 1 (P = 0.011), SNP-63 allele 2 (P = 0.010), and the haplotype combination SNP-44/43/19/63 1121/1121 (P = 0.028) were associated with type 2 diabetes. The SNP-43 genotypes 11 and 12 were associated with higher fasting insulin and homeostasis model assessment (HOMA) insulin resistance index among control subjects (P = 0.021 and P = 0.0076) and with elevated FFA among both control subjects (P = 0.0040) and type 2 diabetic patients (P = 0.0025). Multiple regression analysis further indicated that SNP-43 is an independent predictor of FFA levels (P = 0.0037). Among 80 genotype discordant sibling pairs, the SNP-43 allele 1 was associated with elevated fasting serum insulin and HOMA index (P = 0.013 and P = 0.0068). None of the four SNPs showed distorted transmission of alleles to patients with type 2 diabetes in a qualitative transmission disequilibrium test, including 108 trios. Because FFA and insulin resistance are known to predict type 2 diabetes, the finding that variation in the CAPN10 gene influences FFA levels and insulin resistance may provide an explanation for how the CAPN10 gene increases susceptibility to type 2 diabetes

Interaction between the Asn291Ser variant of the LPL gene and insulin resistance on dyslipidaemia in high risk individuals for Type 2 diabetes mellitus

AIMS: Lipoprotein lipase (LPL) is a major regulator of triglyceride clearance. A genetic variant of the LPL gene on chromosome 8p22, Asn291Ser, has previously been associated with dyslipidaemia and an increased frequency of cardiovascular disease as well as familial disorders of lipoprotein metabolism. The aim of this study was to test whether the phenotypic expression of the LPL Asn291Ser variant is dependent upon glucose tolerance and insulin resistance. Therefore, the Asn291Ser variant was examined in 192 patients with Type 2 diabetes, 278 subjects with normal glucose tolerance who are first degree relatives of patients with Type 2 diabetes and 226 healthy control spouses without family history of diabetes. METHODS: The subjects were genotyped with an allele-specific mini-sequencing method. Insulin resistance was estimated using the homeostasis model assessment (HOMA) index. RESULTS: The frequency of the Asn/Ser genotype was significantly increased in normoglycaemic subjects with hypertriglyceridaemia (> 1.7 mmol/1), and was associated with dyslipidaemia and increased systolic blood pressure. There was a significant interaction between Asn291Ser and insulin resistance in normoglycaemic subjects, indicating that dyslipidaemia is more severe in Asn/ Ser carriers with reduced insulin sensitivity. The frequency of the Asn/Ser genotype was not increased in diabetic subjects with hypertriglyceridaemia, but was associated with increased systolic blood pressure. CONCLUSIONS: The Asn/Ser genotype of the LPL gene is associated with dyslipidaemia in normoglycaemic subjects, and the dyslipidaemic phenotype is more severe in insulin-resistant subjects. This association is not seen in diabetic subjects

The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes.

Genetic association studies are viewed as problematic and plagued by irreproducibility. Many associations have been reported for type 2 diabetes, but none have been confirmed in multiple samples and with comprehensive controls. We evaluated 16 published genetic associations to type 2 diabetes and related sub-phenotypes using a family-based design to control for population stratification, and replication samples to increase power. We were able to confirm only one association, that of the common Pro12Ala polymorphism in peroxisome proliferator-activated receptor-gamma(PPARgamma) with type 2 diabetes. By analysing over 3,000 individuals, we found a modest (1.25-fold) but significant (P=0.002) increase in diabetes risk associated with the more common proline allele (85% frequency). Moreover, our results resolve a controversy about common variation in PPARgamma. An initial study found a threefold effect, but four of five subsequent publications failed to confirm the association. All six studies are consistent with the odds ratio we describe. The data implicate inherited variation in PPARgamma in the pathogenesis of type 2 diabetes. Because the risk allele occurs at such high frequency, its modest effect translates into a large population attributable risk-influencing as much as 25% of type 2 diabetes in the general population