TDT statistics for mapping quantitative trait loci
نویسندگان
چکیده
منابع مشابه
Score statistics for mapping quantitative trait loci.
We propose a method to detect the existence of quantitative trait loci (QTL) in a backcross population using a score test. Since the score test only uses the MLEs of parameters under the null hypothesis, it is computationally simpler than the likelihood ratio test (LRT). Moreover, because the location parameter of the QTL is unidentifiable under the null hypothesis, the distribution of the maxi...
متن کاملQuantitative trait loci mapping of panicle traits in rice
In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat ...
متن کاملQuantitative trait loci mapping of panicle traits in rice
In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat ...
متن کاملQuantitative Trait Loci Mapping
With the increasing number of polymorphic markers identified on the genetic map, positional cloning has become an extremely powerful tool, permitting the linkage and identification of a large number of disease genes. As the human genome project pro gresses and the gene map becomes as dense as the microsatellite polymorphism map, scientists will identify more disease genes through a combination...
متن کاملMultiple interval mapping for quantitative trait loci.
A new statistical method for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is presented. It uses multiple marker intervals simultaneously to fit multiple putative QTL directly in the model for mapping QTL. The MIM model is based on Cockerham's model for interpreting genetic parameters and the method of maximum likelihood for estimating genetic parameters. With t...
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ژورنال
عنوان ژورنال: Annals of Human Genetics
سال: 1998
ISSN: 0003-4800,1469-1809
DOI: 10.1046/j.1469-1809.1998.6250431.x