Non-linear machine learning models incorporating snps and prs improve polygenic prediction in diverse human populations

HIGHLIGHTS

• who: Michael Elgart from the s Hospital of Medicine, Mayo Clinic, Rochester, MN, USAUniversity of have published the research: Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations, in the Journal: (JOURNAL) of 19/07/2021
• what: The authors explore the use of genetic data in prediction of nine complex phenotypes: six established cardiovascular disease risk factors (total cholesterol levels19 LDL cholesterol HDL cholesterol triglycerides20 systolic blood pressure21 and diastolic blood pressure) sleep duration a phenotype of lower heritability that is also associated with cardiovascular disease22 23 body . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.