A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - Taylor & Francis
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - econpapers.repec.org
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external …
TH Chen, N Chatterjee… - Journal of the …, 2021 - pubmed.ncbi.nlm.nih.gov
Large-scale genome-wide association (GWAS) studies provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2020 - europepmc.org
Large-scale genome-wide association (GWAS) studies provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - ingentaconnect.com
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2020 - pure.johnshopkins.edu
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2020 - ideas.repec.org
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
[HTML][HTML] A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - ncbi.nlm.nih.gov
Large-scale genome-wide association (GWAS) studies provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - ideas.repec.org
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …
A Penalized Regression Framework for Building Polygenic Risk Models Based on Summary Statistics From Genome-Wide Association Studies and Incorporating …
TH Chen, N Chatterjee, MT Landi… - Journal of the American …, 2021 - ingentaconnect.com
Large-scale genome-wide association studies (GWAS) provide opportunities for developing
genetic risk prediction models that have the potential to improve disease prevention …
genetic risk prediction models that have the potential to improve disease prevention …