Major
Molecular Biology
Anticipated Graduation Year
2024
Access Type
Open Access
Abstract
This paper analyzes quantitative trait loci associated with obesity and importance of polygenic risk scores in genetic counseling. Obesity risk caused by gene-environment interactions is investigated using a mouse model. Reproductive fat pad composition of F34 mice was obtained for 25 individuals after administering high-/low-fat diets to conclude the probability of obesity occurrence based on additive/dominance genetic effects. Single loci analyses based on sex, diet, and genomic locations are carried out to determine genetic effect on obesity, which highlight whether risk variation is dependent on sex/dietary environment. Advantages of polygenic risk scores in terms of personalized health care are discussed.
Faculty Mentors & Instructors
Fernando Cipriano Andrade Oliveria (Postdoc, Department of Biology), Dr. James Cheverud (Professor of Biology, Department of Biology)
Supported By
NIH grant R01 DK055736
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
POLYGENIC RISK SCORES IN THE CONTEXT OF GENETIC COUNSELING: A FOCUS ON OBESITY
This paper analyzes quantitative trait loci associated with obesity and importance of polygenic risk scores in genetic counseling. Obesity risk caused by gene-environment interactions is investigated using a mouse model. Reproductive fat pad composition of F34 mice was obtained for 25 individuals after administering high-/low-fat diets to conclude the probability of obesity occurrence based on additive/dominance genetic effects. Single loci analyses based on sex, diet, and genomic locations are carried out to determine genetic effect on obesity, which highlight whether risk variation is dependent on sex/dietary environment. Advantages of polygenic risk scores in terms of personalized health care are discussed.