A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external information,Journal of the American Statistical Association

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A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external information
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2020-10-12 , DOI: 10.1080/01621459.2020.1764849
Ting-Huei Chen ₁ , Nilanjan Chatterjee ₂ , Maria Teresa Landi ₃ , Jianxin Shi ₄

Affiliation

Large-scale genome-wide association (GWAS) studies provide opportunities for developing genetic risk prediction models that have the potential to improve disease prevention, intervention or treatme...

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