Facilitating Complex Trait Analysis via Reduced Complexity Crosses
| Autor: | Kathleen M. Kantak, Desmond J. Smith, M. Imad Damaj, Megan K. Mulligan, Hao Chen, Robert W. Williams, Camron D. Bryant, Thaddeus S. Nowak, Eva E. Redei |
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| Rok vydání: | 2020 |
| Předmět: |
Multifactorial Inheritance
Positional cloning Genotype QTL Quantitative Trait Loci Locus (genetics) Genome-wide association study Rodentia Computational biology rat genetics Biology Quantitative trait locus Crosses urologic and male genital diseases Polymorphism Single Nucleotide Medical and Health Sciences Article Chromosomes 03 medical and health sciences 0302 clinical medicine Genome editing Genetic Genetics Animals GWAS Polymorphism Genotyping Crosses Genetic substrain 030304 developmental biology 0303 health sciences Mammalian Chromosome Mapping positional cloning Single Nucleotide Biological Sciences Chromosomes Mammalian Genetic architecture female genital diseases and pregnancy complications Phenotype functional variant Trait 030217 neurology & neurosurgery Developmental Biology |
| Zdroj: | Trends in genetics : TIG, vol 36, iss 8 Trends Genet |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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