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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 .
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Analysis of the pedigree using the principles of Mendelian inheritance can determine whether a trait has a dominant or recessive pattern of inheritance. Pedigrees are often constructed after a family member afflicted with a genetic disorder has been identified. This individual, known as the proband, is indicated on the pedigree by an arrow. [5]
Obesity isn’t just a matter of food and exercise — it may be in your genetic code, according to new research. “Obesity’s causes are very complex and in the majority of cases, the ...
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.
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 ...