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Detalle de: Emerging tools in quantitative trait loci detection

Title Emerging tools in quantitative trait loci detection
Abstract

In this work, I briefly describe some of the new tools that are emerging for quantitative trait loci (QTL) and causative mutation detection. First, I summarize what has been the current trend in QTL search. The type of DNA polymorphism and the statistical techniques used have varied over the last two decades. The initial emphasis on linkage analysis using microsatellites, random amplification of polymorphic DNA (RAPD), or amplified random-length polymorphism (AFLPs) and standard statistical techniques has been substituted by a recent focus in massive single-nucleotide polymorphism (SNP) association studies where coalescence theory has a preeminent role. Then, I focus on new statistical approaches that are being developed (or should be). In particular, a unified framework that combines coalescence and mixed-model theory is badly needed. I finally emphasize the relevance of modelling in emerging experiments like genetical genomics approaches.

Apa Reference Pérez-Enciso, M. (2007). Emerging tools in quantitative trait loci detection. Acta Agriculturae Scandinavica, Section A - Animal Science, 57(4), 202-207. 10.1080/09064700801959429
Doi 10.1080/09064700801959429
Publication Date Dec 2007
Publication Type Article
Researcher Miguel Pérez Enciso
Ontology Genomics, Population genomics, Quantitative genetics
Research Groups
Tools

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