Abstract
A strategy to reduce computational demands of genome-wide association studies fitting a mixed model is presented. Improvements are achieved by utilizing a large proportion of calculations that remain constant across the multiple analyses for individual markers involved, with estimates obtained without inverting large matrices.
| Original language | English |
|---|---|
| Pages (from-to) | 275-277 |
| Journal | Genetics |
| Volume | 190 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2012 |
Keywords
- Animal Breeding
- Genomics
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