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Haplotypes-based genetic analysis: benefits and challenges

Author: Sehgal, D.
Author: Dreisigacker, S.
Year: 2019
ISSN: 2500-3259 (Print)
URI: https://hdl.handle.net/10883/20691
Format: PDF
Language: English
Publisher: Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Novosibirsk (Russia)
Pages: 803-808
Issue: 7
Volume: 23
DOI: 10.18699/VJ19.37-o
Description: The increasing availability of Single Nucleotide Polymorphisms (SNPs) discovered by Next Generation Sequencing will enable a range of new genetic analyses in crops, which was not possible before. Concomitantly, researchers will face the challenge of handling large data sets at the whole-genome level. By grouping thousands of SNPs into a few hundred haplotype blocks, complexity of the data can be reduced with fewer statistical tests and a lower probability of spurious associations. Owing to the strong genome structure present in breeding lines of most crops, the deployment of haplotypes could be a powerful complement to improve efficiency of marker-assisted and genomic selection. This review describes in brief the commonly used approaches to construct haplotype blocks and some examples in animals and crops are cited where haplotype-based dissection of traits were proven beneficial. Some important considerations and facts while working with haplotypes in crops are reviewed at the end.
Agrovoc: GENOMES
Agrovoc: MARKER-ASSISTED SELECTION
Agrovoc: SINGLE NUCLEOTIDE POLYMORPHISM
Journal: Vavilov Journal of Genetics and Breeding


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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