High-Performance Mixed Models Based Genome-Wide Association Analysis with omicABEL software [v1; ref status: indexed, http://f1000r.es/40b]
To raise the power of genome-wide association studies (GWAS) and avoid false-positive results in structured populations, one can rely on mixed model based tests. When large samples are used, and when multiple traits are to be studied in the ’omics’ context, this approach becomes computationally chal...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2014-08-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | http://f1000research.com/articles/3-200/v1 |