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Updated: Jan 13, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Haplotype applications in genomic selection
Tessa R MacNish1,2, Thomas Bergmann1,2, David Edwards3,4
1School of Biological Sciences, The University of Western Australia, Perth, 6009, Australia.
Abstract:
There is an urgent need to increase sustainable crop production. The application of molecular marker technologies such as genomic selection and machine learning based approaches are aiding accelerated crop improvement. Conventional molecular marker technologies use single nucleotide polymorphisms to predict traits, however these do not capture local epistasis and can be challenging for machine learning applications. With the growth of genome sequence data, it is possible to define haplotypes that can account for local epistatic effects and are more suitable for machine learning models. This review discusses the different methods for defining haplotype blocks and their application in plant breeding.
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