Facilitating Complex Trait Analysis via Reduced Complexity Crosses.
Trends Genet
; 36(8): 549-562, 2020 08.
Article
em En
| MEDLINE
| ID: mdl-32482413
ABSTRACT
Genetically diverse inbred strains are frequently used in quantitative trait mapping to identify sequence variants underlying trait variation. Poor locus resolution and high genetic complexity impede variant discovery. As a solution, we explore reduced complexity crosses (RCCs) between phenotypically divergent, yet genetically similar, rodent substrains. RCCs accelerate functional variant discovery via decreasing the number of segregating variants by orders of magnitude. The simplified genetic architecture of RCCs often permit immediate identification of causal variants or rapid fine-mapping of broad loci to smaller intervals. Whole-genome sequences of substrains make RCCs possible by supporting the development of array- and targeted sequencing-based genotyping platforms, coupled with rapid genome editing for variant validation. In summary, RCCs enhance discovery-based genetics of complex traits.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Herança Multifatorial
/
Cruzamentos Genéticos
/
Polimorfismo de Nucleotídeo Único
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Cromossomos de Mamíferos
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Locos de Características Quantitativas
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Trends Genet
Assunto da revista:
GENETICA
Ano de publicação:
2020
Tipo de documento:
Article