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Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer
We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank. Among the disease conditions studied are Hypothy...
Shranjeno v:
| izdano v: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2019
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6814833/ https://ncbi.nlm.nih.gov/pubmed/31653892 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-51258-x |
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