Facilitating Complex Trait Analysis via Reduced Complexity Crosses.
Trends Genet
; 36(8): 549-562, 2020 08.
Article
en 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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Herencia Multifactorial
/
Cruzamientos Genéticos
/
Polimorfismo de Nucleótido Simple
/
Cromosomas de los Mamíferos
/
Sitios de Carácter Cuantitativo
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Trends Genet
Asunto de la revista:
GENETICA
Año:
2020
Tipo del documento:
Article