Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease

Summary: Genetic association studies for blood cell traits, which are key indicators of health and immune function, have identified several hundred associations and defined a complex polygenic architecture. Polygenic scores (PGSs) for blood cell traits have potential clinical utility in disease risk...

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Detalhes bibliográficos
Main Authors: Yu Xu, Dragana Vuckovic, Scott C. Ritchie, Parsa Akbari, Tao Jiang, Jason Grealey, Adam S. Butterworth, Willem H. Ouwehand, David J. Roberts, Emanuele Di Angelantonio, John Danesh, Nicole Soranzo, Michael Inouye
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2022-01-01
Colecção:Cell Genomics
Assuntos:
Polygenic score
Blood cell trait
Method
Machine learning
Population stratification
Disease assocations
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2666979X21001075
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