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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Theoretical efficiency of multiple-trait quantitative trait loci-assisted selection.

K Togashi1, C Y Lin

  • 1National Agricultural Research Centre in Hokkaido Region, Hitsujigaoka, Toyohira-ku, Sapporo, Japan. tkenji@naro.affrc.go.jp

Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
|January 16, 2010
PubMed
Summary

Quantitative trait loci (QTL)-assisted selection is most effective for high heritability traits. Identifying QTL for low heritability traits is not economical for improving net merit, unlike single-trait marker-assisted selection (MAS).

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Area of Science:

  • Quantitative genetics
  • Animal breeding
  • Genomic selection

Background:

  • Genetic improvement of livestock relies on selection methods balancing multiple traits.
  • Quantitative trait loci (QTL)-assisted selection (QTL-AS) aims to enhance accuracy and efficiency in breeding programs.
  • Heritability influences the effectiveness of selection, with low heritability traits posing challenges for genetic gain.

Purpose of the Study:

  • To compare the effectiveness of five selection strategies for genetic improvement of net merit.
  • To evaluate selection methods including two-trait QTL-assisted selection, partial QTL-assisted selection, QTL-only selection, and conventional selection index.
  • To determine the optimal heritability traits for QTL identification in breeding programs.

Main Methods:

  • Simulation of 72 scenarios varying economic weights, genetic correlations, and QTL variance ratios.
  • Comparison of five selection methods: two-trait QTL-AS, partial QTL-AS (trait 1 or 2), QTL-only selection, and conventional index.
  • Analysis of genetic gain in net merit under different genetic architectures and selection pressures.

Main Results:

  • Multiple-trait QTL-AS is more crucial when index traits are negatively correlated.
  • QTL for low heritability traits contributed negligibly to total net merit, contradicting single-trait marker-assisted selection (MAS) efficiency reports.
  • Focusing QTL identification on moderate or high heritability traits is an efficient and cost-effective strategy for maximizing economic returns.

Conclusions:

  • Identifying QTL for low heritability traits is generally not economical for overall net merit improvement.
  • The most efficient selection strategy involves identifying QTL associated with moderate or high heritability traits.
  • QTL-AS principles are applicable to SNP-based genomic selection, emphasizing the importance of trait heritability in strategy development.