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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. [4] [5]
Dog health is viewed holistically; it encompasses many different aspects, including disease processes, genetics, and nutritional health, for example. Infectious diseases that affect dogs are important not only from a veterinary standpoint, but also because of the risk to public health ; an example of this is rabies .
The Punnett square is a visual representation of Mendelian inheritance, a fundamental concept in genetics discovered by Gregor Mendel. [10] For multiple traits, using the "forked-line method" is typically much easier than the Punnett square.
Obesity in pets is common in many countries. In the United States, 23–41% of dogs are overweight, and about 5.1% are obese. [286] The rate of obesity in cats was slightly higher at 6.4%. [286] In Australia, the rate of obesity among dogs in a veterinary setting has been found to be 7.6%. [287]
Polygenic inheritance refers to inheritance of a phenotypic characteristic (trait) that is attributable to two or more genes and can be measured quantitatively. Multifactorial inheritance refers to polygenic inheritance that also includes interactions with the environment.
In this study, however, we found a clear genetic trigger for obesity,” said lead study author Dr. Mattia Frontini, British Heart Foundation senior fellow and an associate professor in cellular ...
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 ...