Title: a Model Selection Approach for Expression Quantitative Trait Loci (eqtl) Mapping Running Title: Model Selection for Eqtl Mapping
نویسندگان
چکیده
Identifying the genetic basis of complex traits remains an important and challenging problem with the potential to impact a broad range of biological endeavors. A number of statistical methods are available for mapping quantitative trait loci (QTL), but their application to high throughput phenotypes has been limited as most require user input and interaction. Recently, methods have been developed specifically for expression QTL (eQTL) mapping, but they too are limited in that they do not allow for interactions and QTL of moderate effect. We here propose an automated model-selection based approach that identifies multiple expression quantitative trait loci in experimental populations, allowing for eQTL of moderate effect and interactions. Output can be used to identify groups of transcripts that are likely co-regulated, as demonstrated in a study of diabetes in mouse.
منابع مشابه
A model selection approach for expression quantitative trait loci (eQTL) mapping.
Identifying the genetic basis of complex traits remains an important and challenging problem with the potential to affect a broad range of biological endeavors. A number of statistical methods are available for mapping quantitative trait loci (QTL), but their application to high-throughput phenotypes has been limited as most require user input and interaction. Recently, methods have been develo...
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