Modelling dominance in a flexible intercross analysis

Lars Rönnegård; Francois Besnier; Örjan Carlborg

doi:10.1186/1471-2156-10-30

Modelling dominance in a flexible intercross analysis

Lars Rönnegård
, Francois Besnier
, Örjan Carlborg

Publication: Contribution to journal › Journal article › peer-review

Abstract

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.

Original language	English
Number of pages	8
Journal	BMC Genetics
Volume	10
DOIs	https://doi.org/10.1186/1471-2156-10-30
Publication status	Published - 2009

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title = "Modelling dominance in a flexible intercross analysis",

abstract = "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.",

author = "Lars R{\"o}nneg{\aa}rd and Francois Besnier and {\"O}rjan Carlborg",

year = "2009",

doi = "10.1186/1471-2156-10-30",

language = "English",

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journal = "BMC Genetics",

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T1 - Modelling dominance in a flexible intercross analysis

AU - Rönnegård, Lars

AU - Besnier, Francois

AU - Carlborg, Örjan

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - https://res.slu.se/id/publ/49438

U2 - 10.1186/1471-2156-10-30

DO - 10.1186/1471-2156-10-30

M3 - Journal article

C2 - 19558715

SN - 1471-2156

VL - 10

JO - BMC Genetics

JF - BMC Genetics

ER -

Modelling dominance in a flexible intercross analysis

Abstract

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