Genome-Wide Association Studies For Coronary Artery Disease Risk
Share This:
                           

About The Author

Boxiang Liu is a Ph.D. Student in Computational Biology at Stanford University. Liu uses statistical and machine learning techniques to extract insights from big data/find hidden signals to explain disease causal mechanisms.

                       

Genome-Wide Association Studies For Coronary Artery Disease Risk

Human disease can be loosely categorized into two broad categories, monogenic and polygenic diseases. The word monogenic means mutating a single gene is sufficient to cause a disease. Cystic fibrosis and Huntington's disease are some examples that fall into this category. On the other hand, polygenic means that several genes (sometimes hundreds of genes) can influence the disease risk, and each gene only contributes a tiny fraction. It is relatively straightforward to find the causal gene for monogenic diseases. To...

Read more