Advances in statistical methods to handle large data sets for GWAS in crop breeding |
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Author: | Mathew, Boby1; Sillanpää, Mikko J.2; Léon, Jens1 |
Organizations: |
1Institute of Crop Science and Resource Conservation, University of Bonn, 53115, Bonn, Germany 2Department of Mathematical Sciences and Biocenter Oulu, University of Oulu, FIN-90014, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019080923820 |
Language: | English |
Published: |
Burleigh Dodds Science Publishing,
2019
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Publish Date: | 2019-08-09 |
Description: |
AbstractOne of the most important statistical methods of handling large data sets for genome-wide association mapping (GWAS) is quantitative trait loci (QTL) analysis. Two approaches to QTL analysis are linkage analysis (LA) and linkage disequilibrium (LD) mapping. Even though association and linkage mapping are viewed as fundamentally different approaches, both methods try to make use of recombination events. This chapter discusses some of the main challenges for GWAS studies with large data sets. This chapter describes both single-locus and multilocus association models, before going on to discuss high dimensional data space in GWAS, the significance threshold for association, and dimensionality reduction methods. Finally, the chapter looks ahead to future trends in this field. see all
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Series: |
Burleigh Dodds series in agricultural science |
ISSN: | 2059-6936 |
ISSN-E: | 2059-6944 |
ISSN-L: | 2059-6936 |
ISBN: | 978-1-78676-244-3 |
Issue: | 60 |
Pages: | 437 - 450 |
DOI: | 10.19103/AS.2019.0051.20 |
OADOI: | https://oadoi.org/10.19103/AS.2019.0051.20 |
Host publication: |
Advances in breeding techniques for cereal crops |
Host publication editor: |
Ordon, Frank Friedt, Wolfgang |
Type of Publication: |
A3 Book chapter |
Field of Science: |
4111 Agronomy 112 Statistics and probability 1184 Genetics, developmental biology, physiology |
Subjects: | |
Copyright information: |
© Burleigh Dodds Science Publishing Limited, 2019. All rights reserved. Published in this repository with the kind permission of the publisher. |