[PDF] Top 20 A Statistical Framework for Quantitative Trait Mapping
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A Statistical Framework for Quantitative Trait Mapping
... criterion of Kao et al. (1999) can be carried out using our software tools. It is an area that holds promise but (see appendix e), where s is the number of p-tuples one we have not adequately explored. We also note of ... See full document
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Functional Mapping of Quantitative Trait Loci Underlying the Character Process: A Theoretical Framework
... interval mapping can improve mapping precision to some extent when multiple QTL are located on the same linkage group, but their use frequently depends upon many other factors, ...interval mapping, ... See full document
12
A Unified Markov Chain Monte Carlo Framework for Mapping Multiple Quantitative Trait Loci
... QTL mapping (Hoes- methods have been proposed for variable selection, in- chele ...complex trait and the associated genetic parameters, model combination (MC 3 ) technique of Raftery et ... See full document
10
Mapping Multiple Quantitative Trait Loci by Bayesian Classification
... Simulation study: The ability to detect QTL is strongly influenced by the trait heritability, with most statistical methods being able to detect QTL for highly heritable traits. However, for many phenotypes ... See full document
14
Statistical Methods for Mapping Quantitative Trait Loci From a Dense Set of Markers
... see Ott (1991, p. 67). However, this result does not and is chosen to make the conditional probability (13) generalize to genome-wide scans involving reasonably equal to the desired confidence level. For any value x ... See full document
14
An Efficient Resampling Method for Assessing Genome-Wide Statistical Significance in Mapping Quantitative Trait Loci
... different QTL controlling this morphometric descriptor may exist. For these complicated real data, where some of our assumptions, such as normality, are likely to fail, the single-QTL analysis and K is the total number ... See full document
10
Mapping Quantitative Trait Loci With Censored Observations
... We conducted additional simulation studies to evalu- on these thresholds have proper type I error and power. ate the performance of the analytical and resampling This is true of any genetic map, with or without missing ... See full document
10
Multiple Interval Mapping for Quantitative Trait Loci
... new statistical method for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is ...QTL mapping could be ...of quantitative traits can be ... See full document
14
Multitrait Fine Mapping of Quantitative Trait Loci Using Combined Linkage Disequilibria and Linkage Analysis
... the framework of linkage analysis, rounding the gene, linkage disequilibrium between that the statistical power to detect a QTL can be in- haplotypes and QTL loci can be utilized to map QTL creased by ... See full document
6
Mapping Quantitative Trait Loci by Genotyping Haploid Tissues
... effects of the simulated QTL plus a random variable declare the existence of a QTL in the chromosomes. that is normally distributed with mean zero and variance Because outcrossing rate and QTL-allelic frequency may ... See full document
12
A Penalized Likelihood Method for Mapping Epistatic Quantitative Trait Loci With One-Dimensional Genome Searches
... epistatic quantitative trait loci (QTL) is difficult since one must search for multiple QTL simultaneously in two or more ...many statistical tests, and a high statistical threshold must be ... See full document
10
Mapping quantitative trait loci in humans: achievements and limitations
... the statistical power and efficiency of the VC method critically depend on whether the assumption that the trait values are normally distributed in the population is satis- ...of trait values) can ... See full document
7
A Haplotype-Based Algorithm for Multilocus Linkage Disequilibrium Mapping of Quantitative Trait Loci With Epistasis
... The strengths of the Bayesian approach for haplotype analysis have been demonstrated by Liu et al. (2001) and Niu et al. (2002). First, it can make a reasonable inference of haplotypes comprising a large number of ... See full document
16
Joint Linkage and Linkage Disequilibrium Mapping of Quantitative Trait Loci in Natural Populations
... rium mapping loci can be found in Terwilliger (1995), phenotypes of the genotyped mothers sampled from a McPeek and Strahs (1999), Meuwissen and Goddard natural population and used to supply the next progeny ... See full document
14
Statistical Methods for Latent Class Quantitative Trait Loci Mapping
... 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 ... See full document
9
Rank-Based Statistical Methodologies for Quantitative Trait Locus Mapping
... 1, . . . , 4. Theoretically, it is unclear whether the relative these reasons, we believe and our simulations as well efficiency of the rank sum test vs. the t-test [or, equiva- show that the rank sum-based estimators ... See full document
8
A statistical model for mapping morphological shape
... or quantitative trait loci (QTLs) for complex phenotypes ...genetic mapping will provide a powerful tool for characterizing QTLs affecting morphological ...developed quantitative genetic ... See full document
14
A General Statistical Framework for Mapping Quantitative Trait Loci in Nonmodel Systems: Issue for Characterizing Linkage Phases
... Figure 2.—The profiles of the log-likelihood ratio (LR) test sta- tistic from one random simulation replicate for QTL detection across a linkage group under one mixed- (solid curve) and four separate- phase analyses ... See full document
14
QTL Positioning of Thousand Wheat Grain Weight in Qaidam Basin
... complex quantitative genetic trait. The positioning of quantitative genetic loci is the preliminary work of molecular genetic mechanism to examine the size and trait of wheat grains; ... See full document
6
Assessing Genome-Wide Statistical Significance for Large p Small n Problems
... In summary, we proposed a new resampling approach for assessing GWS in QTL mapping. This new approach retains all the attractive features of the resampling approach of Zou et al. (2004) and outperforms it under ... See full document
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