Statistical Methods for Mapping Quantitative Trait Loci From a Dense Set of Markers
نویسندگان
چکیده
منابع مشابه
Statistical methods for mapping quantitative trait loci from a dense set of markers.
Lander and Botstein introduced statistical methods for searching an entire genome for quantitative trait loci (QTL) in experimental organisms, with emphasis on a backcross design and QTL having only additive effects. We extend their results to intercross and other designs, and we compare the power of the resulting test as a function of the magnitude of the additive and dominance effects, the sa...
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Identifying the genetic basis of complex traits is an important problem with the potential to impact a broad range of biological endeavors. A number of effective statistical methods are available for quantitative trait loci (QTL) mapping that allow for the efficient identification of multiple, potentially interacting, loci under a variety of experimental conditions. Although proven useful in hu...
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Traditional genetic mapping has largely focused on the identification of loci affecting one, or at most a few, complex traits. Microarrays allow for measurement of thousands of gene expression abundances, themselves complex traits, and a number of recent investigations have considered these measurements as phenotypes in mapping studies. Combining traditional quantitative trait loci (QTL) mappin...
متن کاملNew Methods for Mapping Quantitative Trait Loci
Carlborg, Ö. 2002. New Methods for Mapping Quantitative Trait Loci. Doctoral dissertation. ISSN 1401-6257, ISBN 91-576-6362-9 This thesis presents and discusses the use of various genetic models, high performance computing, global optimization algorithms and statistical methods for mapping Quantitative Trait Loci (QTL). The aim of the work has been to develop statistically powerful and computat...
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Quantitative trait locus (QTL) mapping is usually performed using markers that follow a Mendelian segregation ratio. We developed a new method of QTL mapping that can use markers with segregation distortion (non-Mendelian markers). An EM (expectation-maximization) algorithm is used to estimate QTL and SDL (segregation distortion loci) parameters. The joint analysis of QTL and SDL is particularl...
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ژورنال
عنوان ژورنال: Genetics
سال: 1999
ISSN: 1943-2631
DOI: 10.1093/genetics/151.1.373