“This project is an example of team science with six equally contributing first authors representing multiple cohorts and a breadth of analytical expertise,” said Brooke Wolford, Ph.D., a postdoctoral research fellow with the Department of Computational Medicine and Bioinformatics at U-M Medical School.
The work, published in Nature Genetics, provides a more complete picture of the genetic roots of CAD, outlines a list of genes and genetic variants for future study, and demonstrates an analytical framework for identifying causal genes that can be used to enhance research on other diseases involving genome-wide association studies (GWAS).
Read the full story in U-M Health Lab.