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Query: UMLS:C0028754 (obesity)
 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Obesity is a heritable trait and a risk factor for many common diseases such as type 2 diabetes, heart disease, and hypertension. We used a dense whole-genome scan of DNA samples from the Framingham Heart Study participants to identify a common genetic variant near the INSIG2 gene associated with obesity. We have replicated the finding in four separate samples composed of individuals of Western European ancestry, African Americans, and children. The obesity-predisposing genotype is present in 10% of individuals. Our study suggests that common genetic polymorphisms are important determinants of obesity.
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PMID:A common genetic variant is associated with adult and childhood obesity. 1721 10

Herbert et al. (Reports, 14 April 2006, p. 279) reported an association between the INSIG2 gene variant rs7566605 and obesity in four sample populations, under a recessive model. We attempted to replicate this result in 10,265 Caucasian individuals, combining family-based, case-control, and general population studies, but found no support for a major role of this variant in obesity.
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PMID:Comment on "A common genetic variant is associated with adult and childhood obesity". 1661 26

Contrary to the findings of Herbert et al. (Reports, 14 April 2006, p. 279), homozygous carriers of the C allele of the rs7566605 variant near the INSIG2 gene did not exhibit a significantly increased risk for obesity in a large population-based cross-sectional German study. A subgroup analysis, however, revealed that this allele significantly increased the risk for obesity in already overweight individuals.
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PMID:Comment on "A common genetic variant is associated with adult and childhood obesity". 1661 26

DNA microarrays have provided medical researchers with a powerful tool to study the mechanisms of complex diseases, including obesity and type 2 diabetes (T2D). The technology has been used to dissect virtually every aspect of the genetic and molecular basis of these two diseases. Gene expression profiling is the major application of DNA microarrays so far. Subcutaneous fat, visceral fat, adipocyte and preadipocyte, muscle, liver, pancreas and specific nuclei in the hypothalamus under normal and disease conditions are used in addressing the profile of gene expression in obesity and T2D. Comparisons of fat depots in humans and animal models - including ob/ob and db/db mice, diet-induced obese mice, fa/fa Zucker rats, gene knockout (plin (-/-), GLUT4 (-/-)) and transgenic mice (GLUT4-Tg) - have been employed in microarray experiments. The effects of various interventions, such as hormonal and drug treatments, exercise, and surgery, have been studied to determine the expression profile of different developmental stages in cells and the effect of treatment on the two diseases. In this review, the application of microarrays in elucidating the role of retinol binding protein 4 as a link between obesity and T2D is discussed. The possible role in obesity of a common genetic variant near the INSIG2 gene and the discovery of the BBS9 gene are also discussed. The problems and challenges are summarized under eight categories and suggestions for the future direction of research in this area are proposed.
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PMID:Application of DNA microarrays in the study of human obesity and type 2 diabetes. 1741 94

A SNP upstream of the INSIG2 gene, rs7566605, was recently found to be associated with obesity as measured by body mass index (BMI) by Herbert and colleagues. The association between increased BMI and homozygosity for the minor allele was first observed in data from a genome-wide association scan of 86,604 SNPs in 923 related individuals from the Framingham Heart Study offspring cohort. The association was reproduced in four additional cohorts, but was not seen in a fifth cohort. To further assess the general reproducibility of this association, we genotyped rs7566605 in nine large cohorts from eight populations across multiple ethnicities (total n = 16,969). We tested this variant for association with BMI in each sample under a recessive model using family-based, population-based, and case-control designs. We observed a significant (p < 0.05) association in five cohorts but saw no association in three other cohorts. There was variability in the strength of association evidence across examination cycles in longitudinal data from unrelated individuals in the Framingham Heart Study Offspring cohort. A combined analysis revealed significant independent validation of this association in both unrelated (p = 0.046) and family-based (p = 0.004) samples. The estimated risk conferred by this allele is small, and could easily be masked by small sample size, population stratification, or other confounders. These validation studies suggest that the original association is less likely to be spurious, but the failure to observe an association in every data set suggests that the effect of SNP rs7566605 on BMI may be heterogeneous across population samples.
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PMID:The association of a SNP upstream of INSIG2 with body mass index is reproduced in several but not all cohorts. 1746 81

Obesity is the result of an imbalance between food intake and energy expenditure resulting in the storing of energy as fat. Adipose tissue contains the largest store of energy in the body and plays important roles in regulating energy partitioning. Developments in genomics, in particular microarray-based expression profiling, have provided scientists with a number of new candidate genes whose expression in adipose tissue is regulated by obesity. Integrating expression profiles with genome-wide linkage and/or association analyses is a promising strategy to identify new genes underlying susceptibility to obesity. This article provides a comprehensive review of adipose-tissue-expressed genes implicated in predisposition to human obesity. The authors consider the following genes of particular interest: peroxisome proliferator-activated receptor gamma and, potentially, INSIG2 acting in adipogenesis; the adrenoreceptors beta 2 and 3, as well as hormone-sensitive lipase acting on lipolysis; uncoupling protein 2 acting in mitochondria energy expenditure; and among secreted molecules the cytokine tumor necrosis factor alpha and the hormone leptin. With the rapid development in genome research, we predict that additional alleles in genes regulating adipose tissue function will be established as risk factors for common obesity in the coming years. This has important implications for the prevention of obesity and may also offer new therapeutic targets.
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PMID:Obesity and polymorphisms in genes regulating human adipose tissue. 1756 63

Atypical antipsychotics are nowadays the most widely used drugs to treat schizophrenia and other psychosis. Unfortunately, some of them can cause major metabolic adverse effects, such as weight gain, dyslipidemia and type 2 diabetes. The underlying lipogenic mechanisms of the antipsychotic drugs are not known, but several studies have focused on a central effect in the hypothalamic control of appetite regulation and energy expenditure. In a functional convergent genomic approach we recently used a cellular model and demonstrated that orexigenic antipsychotics that induce weight gain activate the expression of lipid biosynthesis genes controlled by the sterol regulatory element-binding protein (SREBP) transcription factors. We therefore hypothesized that the major genes involved in the SREBP activation of fatty acids and cholesterol production (SREBF1, SREBF2, SCAP, INSIG1 and INSIG2) would be strong candidate genes for interindividual variation in drug-induced weight gain. We genotyped a total of 44 HapMap-selected tagging single nucleotide polymorphisms in a sample of 160 German patients with schizophrenia that had been monitored with respect to changes in body mass index during antipsychotic drug treatment. We found a strong association (P=0.0003-0.00007) between three markers localized within or near the INSIG2 gene (rs17587100, rs10490624 and rs17047764) and antipsychotic-related weight gain. Our finding is supported by the recent involvement of the INSIG2 gene in obesity in the general population and implicates SREBP-controlled lipogenesis in drug-induced metabolic adverse effects.
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PMID:Association between the insulin-induced gene 2 (INSIG2) and weight gain in a German sample of antipsychotic-treated schizophrenic patients: perturbation of SREBP-controlled lipogenesis in drug-related metabolic adverse effects? 1819 16

Obesity is a complex trait reflecting numerous genetic and environmental factors. Recently, a common genetic polymorphism (rs7566605) associated with a higher BMI was found in proximity to the insulin induced protein 2 (INSIG2 ) gene, with replication in four unrelated populations living in Western countries. We investigated the susceptibility to the polymorphism amongst the general Japanese population (n = 1976). The frequency of appearance of the single-nucleotide polymorphism (SNP) in the Japanese (G allele; 0.652, C allele; 0.348) was not different from that found in subjects of European origin as reported previously. However, the BMI levels in each of these genotypes did not differ significantly (GG; 23 +/- 3, GC; 24 +/- 3, CC; 24 +/- 3 kg/m(2), P = 0.906). In a separate analysis according to sex (male; P = 0.462, female; P = 0.879), age decade (40s; P = 0.057, 50s; P = 0.998, 60s; P = 0.622, 70s; 0.425, respectively), and tertiles of the BMI (1st; P = 0.409, 2nd; P = 0.088, 3rd; P = 0.780), the differences did not achieve statistical significance. The frequency of obesity did not differ among the genotypes (25 kg/m(2); 30.3, 30.8, 28.2%, P = 0.729, 30 kg/m(2); 2.9, 3.8, 2.8%, P = 0.549). No associations were also observed for related plasma markers; high-molecular weight (HMW) adiponectin (P = 0.510), high-sensitive C-reactive protein (P = 0.788), resistin (P = 0.937) and homeostasis of minimal assessment of insulin resistance (P = 0.634). These results indicate a lack of association between SNP rs7566605 and being overweight among the Japanese (in the middle-aged and elderly population).
Obesity (Silver Spring) 2008 Jan
PMID:No association between INSIG2 Gene rs7566605 polymorphism and being overweight in Japanese population. 1822 38

Obesity results from the complex interaction of environmental factors that act on a genetic background that determines the susceptibility to obesity. The identification of such obesity susceptibility genes can provide important insights into the mechanism underlying this condition. While candidate gene approaches have not been tremendously successful in identifying relevant genetic contributors to obesity, except PPAR , the advent of genome-wide strategies has recently revealed novel and unexpected genetic factors with strong associations with obesity and/or diabetes, i.e. FTO, TCF7L2, INSIG2, ENPP1, or FASN (reviewed herein), although some of them are not undebated. Considering the function of the encoded proteins, it will now be of interest to investigate the cellular and molecular mechanisms, how these genetic variations affect body weight, energy metabolism and/or obesity-associated morbidity.
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PMID:Polygenic contribution to obesity: genome-wide strategies reveal new targets. 1823 Aug 92

Herbert et al reported association with obesity of a common DNA variant rs7566605 at 10 kb upstream of the INSIG2 gene. We analyzed rs7566605 polymorphism in 3125 Chinese in a cross-sectional study. We found no significant association of rs7566605 polymorphism with body mass index (BMI) and waist circumference among all participants (P=0.52). However, if geographic location is considered, the C/C genotype of rs7566605 was marginally associated with increased levels of BMI and risk of obesity among individuals living in Shanghai (P=0.06), indicating that the C/C genotype may contribute to obesity in certain subpopulation among Chinese under certain environmental settings.
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PMID:Potential association of INSIG2 rs7566605 polymorphism with body weight in a Chinese subpopulation. 1827 May 35


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