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In the United States, the prevalence of obese or overweight adult dogs is 23–53%, of which about 5% are obese; [22] [23] the incidence in adult cats is 55%, [23] of which about 8% are obese. [22] In Australia, obesity is the most common nutritional disease of pets; [24] the prevalence of obesity in dogs in Australia is approximately 40%. [14]
Like many other medical conditions, obesity is the result of an interplay between environmental and genetic factors. [2] [3] Studies have identified variants in several genes that may contribute to weight gain and body fat distribution; although, only in a few cases are genes the primary cause of obesity.
As with humans, obesity can cause numerous health problems in dogs (although dogs are much less susceptible to the common cardiac and arterial consequences of obesity than humans are). According to a study published in the Journal of Veterinary Internal Medicine , the prevalence of obesity in dogs is between 22 and 40 percent.
The diet-induced obesity model (DIO model) is an animal model used to study obesity using animals that have obesity caused by being fed high-fat or high-density diets. [1] It is intended to mimic the most common cause of obesity in humans. [2] Typically mice, rats, dogs, or non-human primates are used in these models.
In population genetics, the Watterson estimator is a method for describing the genetic diversity in a population. It was developed by Margaret Wu and G. A. Watterson in the 1970s. [1] [2] It is estimated by counting the number of polymorphic sites. It is a measure of the "population mutation rate" (the product of the effective population size ...
A genetic correlation of 0 implies that the genetic effects on one trait are independent of the other, while a correlation of 1 implies that all of the genetic influences on the two traits are identical. The bivariate genetic correlation can be generalized to inferring genetic latent variable factors across > 2 traits using factor analysis ...
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Obesity is one of the most widely studied topics in nutritional genomics. Due to genetic variations among individuals, each person could respond to diet differently. By exploring the interaction between dietary pattern and genetic factors, the field aims to suggest dietary changes that could prevent or reduce obesity.