TY  - GEN
AB  - Genome-wide polygenic risk scores (PRS) can now predict complex genetic disease risk with nearly the same ability as tests for monogenic diseases. Despite this, there is no clear consensus how to incorporate PRS with other known modifiable and non-modifiable risk factors at the point of care. This challenge is further complicated by the fact that the most promising diseases for early PRS adoption (e.g., coronary artery disease, type 2 diabetes, and breast cancer) share many of the same modifiable risk factors - specifically, diet-induced obesity and drug use. Interestingly, the cause of these modifiable risk factors is at least partially genetic in most people. And while evidence for a common biological basis underlying nutrient intake and drug use in humans is growing, current clinical risk prediction models for complex genetic diseases have not incorporated any of this shared biology.
AD  - Oregon Health and Science University
AU  - Stevens, Kristen
DA  - 2020
DO  - 10.6083/kh04dq40j
DO  - DOI
ED  - McWeeney, Shannon
ED  - Mentor
ID  - 8091
KW  - Diet
KW  - Precision Medicine
KW  - Point-of-Care Systems
KW  - Obesity
KW  - Substance-Related Disorders
KW  - Genome-Wide Association Study
L1  - https://digitalcollections.ohsu.edu/record/8091/files/Stevens.Kristen.2020.pdf
L2  - https://digitalcollections.ohsu.edu/record/8091/files/Stevens.Kristen.2020.pdf
L4  - https://digitalcollections.ohsu.edu/record/8091/files/Stevens.Kristen.2020.pdf
LK  - https://digitalcollections.ohsu.edu/record/8091/files/Stevens.Kristen.2020.pdf
N2  - Genome-wide polygenic risk scores (PRS) can now predict complex genetic disease risk with nearly the same ability as tests for monogenic diseases. Despite this, there is no clear consensus how to incorporate PRS with other known modifiable and non-modifiable risk factors at the point of care. This challenge is further complicated by the fact that the most promising diseases for early PRS adoption (e.g., coronary artery disease, type 2 diabetes, and breast cancer) share many of the same modifiable risk factors - specifically, diet-induced obesity and drug use. Interestingly, the cause of these modifiable risk factors is at least partially genetic in most people. And while evidence for a common biological basis underlying nutrient intake and drug use in humans is growing, current clinical risk prediction models for complex genetic diseases have not incorporated any of this shared biology.
PB  - Oregon Health and Science University
PY  - 2020
T1  - A reward system polygenic risk score for predicting obesity and substance addiction
TI  - A reward system polygenic risk score for predicting obesity and substance addiction
UR  - https://digitalcollections.ohsu.edu/record/8091/files/Stevens.Kristen.2020.pdf
Y1  - 2020
ER  -