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SummaryTaste receptors (TASRs) and appetite and reward (AR) mechanisms influence eating behaviour, which in turn affects food intake and risk of obesity. In a previous study, we used next generation sequencing to identify potentially functional mutations in TASR and AR genes and found indications for genetic associations between identified variants and growth and fat deposition in a subgroup of animals (n = 38) from the UNIK resource pig population. This population was created for studying obesity and obesity‐related diseases. In the present study we validated results from our previous study by investigating genetic associations between 24 selected single nucleotide variants in TASR and AR gene variants and 35 phenotypes describing obesity and metabolism in the entire UNIK population (n = 564). Fifteen variants showed significant association with specific obesity‐related phenotypes after Bonferroni correction. Six of the 15 genes, namely SIM1, FOS, TAS2R4, TAS2R9, MCHR2 and LEPR, showed good correlation between known biological function and associated phenotype. We verified a genetic association between potentially functional variants in TASR/AR genes and growth/obesity and conclude that the combination of identification of potentially functional variants by next generation sequencing followed by targeted genotyping and association studies is a powerful and cost‐effective approach for increasing the power of genetic association studies.
Taste Receptors, Type 2, Pig, Genotyping Techniques, Sus scrofa, Appetite, High-Throughput Nucleotide Sequencing, Single nucleotide polymorphisms, Feeding Behavior, Polymorphism, Single Nucleotide, Receptors, G-Protein-Coupled, [SDV] Life Sciences [q-bio], Metabolism, Phenotype, Gene Frequency, Genetic association, GWAS, Animals, Eating behavior, Obesity, Genetic Association Studies
Taste Receptors, Type 2, Pig, Genotyping Techniques, Sus scrofa, Appetite, High-Throughput Nucleotide Sequencing, Single nucleotide polymorphisms, Feeding Behavior, Polymorphism, Single Nucleotide, Receptors, G-Protein-Coupled, [SDV] Life Sciences [q-bio], Metabolism, Phenotype, Gene Frequency, Genetic association, GWAS, Animals, Eating behavior, Obesity, Genetic Association Studies
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