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Research article2009Peer reviewedOpen access

Modelling dominance in a flexible intercross analysis

Rönnegård, Lars; Besnier, Francois; Carlborg, Örjan


Conclusion: We have extended FIA to include QTL dominance effects. The power of FIA was superior, or similar, to standard regression methods for QTL effects with dominance. The difference in power for FIA with or without dominance is expected to be small as long as the QTL effects are not overdominant. We suggest that FIA with only additive effects should be the standard model to be used, especially since it is more computationally efficient.

Published in

BMC Genetics
2009, Volume: 10