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Efficient Bayesian mixed model analysis increases association power in large cohorts
Linear mixed models are a powerful statistical tool for identifying genetic associations and avoiding confounding. However, existing methods are computationally intractable in large cohorts, and may not optimize power. All existing methods require time cost O(MN(2)) (where N = #samples and M = #SNPs...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Nat Genet |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2015
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4342297/ https://ncbi.nlm.nih.gov/pubmed/25642633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.3190 |
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