Results 11 to 20 of about 51,866 (158)
Behavior Genetics, 2004 The standard variance components method for mapping quantitative trait loci is derived on the assumption of normality. Unsurprisingly, statistical tests based on this method do not perform so well if this assumption is not satisfied. We use the statistical concept of copulas to relax the assumption of normality and derive a test that can perform well ...
Basrak, B. +4 more
openaire +4 more sources
R/qtl: high-throughput multiple QTL mapping [PDF]
Bioinformatics, 2010 AbstractMotivation: R/qtl is free and powerful software for mapping and exploring quantitative trait loci (QTL). R/qtl provides a fully comprehensive range of methods for a wide range of experimental cross types. We recently added multiple QTL mapping (MQM) to R/qtl.
Arends, D. +3 more
openaire +3 more sources
QTL Mapping Under Ascertainment [PDF]
Annals of Human Genetics, 2006 SummaryMapping quantitative trait loci (QTL) using ascertained sibships is discussed. It is shown that under the standard normality assumption of variance components analysis the efficient scores are unchanged by ascertainment, and two different schemes of ascertainment correction suggested in the literature are asymptotically equivalent.
J, Peng, D, Siegmund
openaire +2 more sources
Human QTL linkage mapping [PDF]
Genetica, 2008 Human quantitative trait locus (QTL) linkage mapping, although based on classical statistical genetic methods that have been around for many years, has been employed for genome-wide screening for only the last 10-15 years. In this time, there have been many success stories, ranging from QTLs that have been replicated in independent studies to those for
Laura, Almasy, John, Blangero
openaire +2 more sources
QTL linkage analysis of connected populations using ancestral marker and pedigree information [PDF]
, 2012 The common assumption in quantitative trait locus (QTL) linkage mapping studies that parents of multiple connected populations are unrelated is unrealistic for many plant breeding programs.
Bink, M.C.A.M. +5 more
core +2 more sources
G3: Genes, Genomes, Genetics, 2018 We illustrate, through two case studies, that “mean-variance QTL mapping”—QTL mapping that models effects on the mean and the variance simultaneously—can discover QTL that traditional interval mapping cannot.
Robert W. Corty +4 more
doaj +1 more source
Estimating genetic variance contributed by a quantitative trait locus: A random model approach.
PLoS Computational Biology, 2022 Detecting quantitative trait loci (QTL) and estimating QTL variances (represented by the squared QTL effects) are two main goals of QTL mapping and genome-wide association studies (GWAS).
Shibo Wang, Fangjie Xie, Shizhong Xu
doaj +1 more source
Assessment of Five Chilling Tolerance Traits and GWAS Mapping in Rice Using the USDA Mini-Core Collection [PDF]
, 2017 Rice (Oryza sativa L.) is often exposed to cool temperatures during spring planting in temperate climates. A better understanding of genetic pathways regulating chilling tolerance will enable breeders to develop varieties with improved tolerance during ...
Boykin, Debbie L. +7 more
core +3 more sources
Target Enrichment Improves Mapping of Complex Traits by Deep Sequencing
G3: Genes, Genomes, Genetics, 2016 Complex traits such as crop performance and human diseases are controlled by multiple genetic loci, many of which have small effects and often go undetected by traditional quantitative trait locus (QTL) mapping.
Jianjun Guo +3 more
doaj +1 more source
A robust QTL mapping procedure [PDF]
Journal of Statistical Planning and Inference, 2009 In quantitative-trait linkage studies using experimental crosses, the conventional normal location-shift model or other parameterizations may be unnecessarily restrictive. We generalize the mapping problem to a genuine nonparametric setup and provide a robust estimation procedure for the situation where the underlying phenotype distributions are ...
Zou, Fei +3 more
openaire +3 more sources