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A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.

Kwak IY, Moore CR, Spalding EP, Broman KW - Genetics (2014)

Bottom Line: However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified the automated acquisition of numerous phenotypes, including function-valued phenotypes, such as growth measured over time.While methods exist for QTL mapping with function-valued phenotypes, they are generally computationally intensive and focus on single-QTL models.After identifying multiple QTL by these approaches, we can view the function-valued QTL effects to provide a deeper understanding of the underlying processes.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.

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(A–D) The SLOD (A), MLOD (B), EE(Wald) (C), and EE(Residual) (D) curves for the root tip angle data. A red horizontal line indicates the calculated 5% permutation-based threshold.
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fig2__A_D: (A–D) The SLOD (A), MLOD (B), EE(Wald) (C), and EE(Residual) (D) curves for the root tip angle data. A red horizontal line indicates the calculated 5% permutation-based threshold.

Mentions: The SLOD and MLOD statistics combine the results across time points, by taking the average or the maximum LOD, respectively, at each genomic location. The results are in Figure 2, A and B. Horizontal lines indicate the 5% genome-wide significance thresholds, derived by a permutation test.


A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.

Kwak IY, Moore CR, Spalding EP, Broman KW - Genetics (2014)

(A–D) The SLOD (A), MLOD (B), EE(Wald) (C), and EE(Residual) (D) curves for the root tip angle data. A red horizontal line indicates the calculated 5% permutation-based threshold.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4125409&req=5

fig2__A_D: (A–D) The SLOD (A), MLOD (B), EE(Wald) (C), and EE(Residual) (D) curves for the root tip angle data. A red horizontal line indicates the calculated 5% permutation-based threshold.
Mentions: The SLOD and MLOD statistics combine the results across time points, by taking the average or the maximum LOD, respectively, at each genomic location. The results are in Figure 2, A and B. Horizontal lines indicate the 5% genome-wide significance thresholds, derived by a permutation test.

Bottom Line: However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified the automated acquisition of numerous phenotypes, including function-valued phenotypes, such as growth measured over time.While methods exist for QTL mapping with function-valued phenotypes, they are generally computationally intensive and focus on single-QTL models.After identifying multiple QTL by these approaches, we can view the function-valued QTL effects to provide a deeper understanding of the underlying processes.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, University of Wisconsin, Madison, Wisconsin 53706.

Show MeSH