Efficiency of mapping epistatic quantitative trait loci
Ano de defesa: | 2022 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | eng |
Instituição de defesa: |
Universidade Federal de Viçosa
Genética e Melhoramento |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://locus.ufv.br//handle/123456789/30131 https://doi.org/10.47328/ufvbbt.2022.253 |
Resumo: | Previous methodological investigations on epistatic QTL mapping have shown that this procedure is powerful, efficient to control the false positive rate (FPR), and precise to localize QTLs. The objective of this simulation-based study is to show that mapping epistatic QTLs is not almost perfect. The standard procedures for the most important software available maximized the power of detection for QTLs (56-74% on average), associated with a very high FPR (65%) and a low power for the epistatic pairs (7%). Increasing the average power for epistatic pairs (14%) highly increased the related FPR. Adopting a procedure to find the best balance between power and FPR, there was a significant decrease in the power of QTL detection (17-31% on average), associated with a low average power for epistatic pairs (8%) and an average FPR of 31% for QTLs and 16% for epistatic pairs. We believe that the main reasons for these negative results are simplified modelling of the epistatic effects and no inclusion of minor genes (2/3 of the FPR for QTLs were due to minor genes). Keywords: Epistasis. QTL detection power. False positive rate. Mapping precision. |