2020
DOI: 10.1016/j.jare.2019.10.013
|View full text |Cite
|
Sign up to set email alerts
|

GWAS: Fast-forwarding gene identification and characterization in temperate Cereals: lessons from Barley – A review

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
238
1
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 290 publications
(244 citation statements)
references
References 102 publications
4
238
1
1
Order By: Relevance
“…GWAS was able to identify three SNPs significant at 5% at the chromosome-wide level and 54 suggestive SNPs associated with the prolificacy trait. The power of GWAS to detect the true association is determined by many factors such as phenotypic variation, the number of individuals, and allele frequency [52]. The indirect associations are the result of disequilibrium between multiple factors affecting a trait, whereas lack of statistical power can produce spurious associations that are only distantly linked to causal polymorphisms [53].…”
Section: Discussionmentioning
confidence: 99%
“…GWAS was able to identify three SNPs significant at 5% at the chromosome-wide level and 54 suggestive SNPs associated with the prolificacy trait. The power of GWAS to detect the true association is determined by many factors such as phenotypic variation, the number of individuals, and allele frequency [52]. The indirect associations are the result of disequilibrium between multiple factors affecting a trait, whereas lack of statistical power can produce spurious associations that are only distantly linked to causal polymorphisms [53].…”
Section: Discussionmentioning
confidence: 99%
“…The threshold p-value (p = .0001) was indicated by dotted red line for each track of low frequency alleles from GWAS analysis is mainly due to lack of resolution to detect association signals for functional alleles present in low frequency (usually they are ignored in analysis). Otherwise, rare alleles could significantly explain genetic variations in phenotypic traits (Alqudah, Sallam, Baenziger, & Börner, 2020). These rare variants that are unique to a specific group of individuals and would only be detected in GWAS if the frequency was greater (Brachi et al, 2011).…”
Section: F I G U R Ementioning
confidence: 99%
“…In crops such as wheat and barley, QTLs related to drought have been identified and introgressed from wild relative species [ 132 ], allowing the inclusion of new favorable alleles in the breeding populations. Another approach to identifying regions that explain the phenotypic variation of traits (e.g., drought tolerance) in plants is the Genome-Wide Association Study (GWAS), where it is possible to associate a specific single-nucleotide polymorphism (SNP)/gene with a phenotypic variation of any trait [ 133 ]. The GWAS combines phenotypic and genomic information to identify statistical associations in order to explain the phenotypic variations of the target trait.…”
Section: Methods and Approaches To Improve Crop Tolerance To Drougmentioning
confidence: 99%