A PRS for CHD, based on over six million genetic variants, was developed using the LDPred algorithm on individuals of European ancestry in UK Biobank by Khera et al.8 (link) Based on the publicly available weights from this published score, a PRS was created by multiplying the risk allele dosage with the weights. After restricting to single nucleotide polymorphisms (SNPs) with an imputation quality r2 greater than 0.3 in ARIC, 6,483,355 SNPs were included in an additive weighted genetic risk score calculated by summing the weighted dosages for each individual. A residual PRS was then created after adjusting for the first eleven principal components for ancestry. Individuals were further categorized into low (<20th percentile), intermediate (20th-80th percentile), and high (>80th percentile) genetic risk categories according to their self-reported race. To maximize the statistical precision and analyze the effects of low and high polygenic risk, the intermediate genetic risk category was used as the reference.
Polygenic Risk Score for Coronary Heart Disease
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Corresponding Organization :
Other organizations : The University of Texas Health Science Center at Houston, Erasmus MC, University of Mississippi Medical Center, Baylor College of Medicine, University of Minnesota, University of Kentucky
Variable analysis
- Polygenic risk score (PRS) for coronary heart disease (CHD)
- Genetic risk categories (low, intermediate, high)
- Not explicitly mentioned
- Principal components for ancestry (first eleven principal components)
- Race/ethnicity of participants
- Intermediate genetic risk category (20th-80th percentile) is used as the reference to analyze the effects of low and high polygenic risk
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!