Polygenic risk modeling for prediction of epithelial ovarian cancer risk

HIGHLIGHTS

• who: Eileen O. Dareng from the (UNIVERSITY) have published the Article: Polygenic risk modeling for prediction of epithelial ovarian cancer risk, in the Journal: (JOURNAL) of 14/01/2022
• what: The authors compare these models with two commonly used methods, stepwise regression with p-value thresholding and LDPred. The approach has several benefits over alternative machine_learning methods, including its simplicity, and intrinsic robustness to minor misspecification of LD or association strength.
• how: The authors investigated transferability of the best-fitting PRS models to populations of non-European ancestries using genotype data from females . . .
  

   

  

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