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

• প্রধান লেখক: Yu Xu (লেখক), Dragana Vuckovic (লেখক), Scott C. Ritchie (লেখক), Parsa Akbari (লেখক), Tao Jiang (লেখক), Jason Grealey (লেখক), Adam S. Butterworth (লেখক), Willem H. Ouwehand (লেখক), David J. Roberts (লেখক), Emanuele Di Angelantonio (লেখক), John Danesh (লেখক), Nicole Soranzo (লেখক), Michael Inouye (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Elsevier, 2022-01-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: Connect to this object online.

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...