ArticleObesity (Silver Spring, Md.)2008
Association of genetic variation in ENPP1 with obesity-related phenotypes.
Article in Obesity (Silver Spring, Md.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Epitranscriptomic regulation of lipid oxidation and liver fibrosis via ENPP1 mRNA mCellular and molecular life sciences : CMLS · 2024Article
- Association of common genetic variants with diabetes and metabolic syndrome related traits in the Arizona Insulin Resistance registry: a focus on Mexican American families in the Southwest.Human heredity · 2014Article
- Molecular basis of obesity: current status and future prospects.Current genomics · 2011Article
- Inherited destiny? Genetics and gestational diabetes mellitus.Genome medicine · 2011Article
- Possible role for ENPP1 polymorphism in obesity but not for INSIG2 and PLIN variants.Endocrine · 2009Article
- Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.Molecular & cellular proteomics : MCP · 2009Article
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Authors and funding
12 authors at 6 institutions in 2 countries.
Funding
Abstract
Ectonucleotide pyrophosphatase phosphodiesterase (ENPP1) is a positional candidate gene at chromosome 6q23 where we previously detected strong linkage with fasting-specific plasma insulin and obesity in Mexican Americans from the San Antonio Family Diabetes Study (SAFDS). We genotyped 106 single-nucleotide polymorphisms (SNPs) within ENPP1 in all 439 subjects from the linkage study, and measured association with obesity and metabolic syndrome (MS)-related traits. Of 72 polymorphic SNPs, 24 were associated, using an additive model, with at least one of eight key metabolic traits. Three traits were associated with at least four SNPs. They were high-density lipoprotein cholesterol (HDL-C), leptin, and fasting plasma glucose (FPG). HDL-C was associated with seven SNPs, of which the two most significant P values were 0.0068 and 0.0096. All SNPs and SNP combinations were analyzed for functional contribution to the traits using the Bayesian quantitative-trait nucleotide (BQTN) approach. With this SNP-prioritization analysis, HDL-C was the most strongly associated trait in a four-SNP model (P=0.00008). After accounting for multiple testing, we conclude that ENPP1 is not a major contributor to our previous linkage peak with MS-related traits in Mexican Americans. However, these results indicate that ENPP1 is a genetic determinant of these traits in this population, and are consistent with multiple positive association findings in independent studies in diverse human populations.
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