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

Publikation: Bidrag till tidskrift › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

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.

Originalspråk	Engelska
Antal sidor	8
Tidskrift	BMC Genetics
Volym	10
DOI	https://doi.org/10.1186/1471-2156-10-30
Status	Publicerad - 2009

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10.1186/1471-2156-10-30

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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.",

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AU - Rönnegård, Lars

AU - Besnier, Francois

AU - Carlborg, Örjan

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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

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SN - 1471-2156

VL - 10

JO - BMC Genetics

JF - BMC Genetics

ER -