Results 1 to 10 of about 3,776 (117)

The power of QTL mapping with RILs. [PDF]

open access: yesPLoS ONE, 2012
QTL (quantitative trait loci) mapping is commonly used to identify genetic regions responsible to important phenotype variation. A common strategy of QTL mapping is to use recombinant inbred lines (RILs), which are usually established by several ...
Shohei Takuno   +2 more
doaj   +4 more sources

postQTL: a QTL mapping R workflow to improve the accuracy of true positive loci identification

open access: yesBMC Research Notes, 2022
Objective The determination of the location of quantitative trait loci (QTL) (i.e., QTL mapping) is essential for identifying new genes. Various statistical methods are being incorporated into different QTL mapping functions.
Prashant Bhandari, Tong Geon Lee
doaj   +1 more source

Copulas in QTL Mapping [PDF]

open access: yesBehavior 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   +6 more sources

Joint QTL linkage mapping for multiple-cross mating design sharing one common parent. [PDF]

open access: yesPLoS ONE, 2011
BackgroundNested association mapping (NAM) is a novel genetic mating design that combines the advantages of linkage analysis and association mapping. This design provides opportunities to study the inheritance of complex traits, but also requires more ...
Huihui Li   +4 more
doaj   +1 more source

Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations. [PDF]

open access: yesPLoS ONE, 2015
Identification of environment-specific QTL and stable QTL having consistent genetic effects across a wide range of environments is of great importance in plant breeding. Inclusive Composite Interval Mapping (ICIM) has been proposed for additive, dominant
Shanshan Li, Jiankang Wang, Luyan Zhang
doaj   +1 more source

R/qtl: high-throughput multiple QTL mapping [PDF]

open access: yesBioinformatics, 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.
Danny Arends   +3 more
openaire   +3 more sources

Multi-QTL mapping for quantitative traits using epistatic distorted markers. [PDF]

open access: yesPLoS ONE, 2013
The interaction between segregation distortion loci (SDL) has been often observed in all kinds of mapping populations. However, little has been known about the effect of epistatic SDL on quantitative trait locus (QTL) mapping.
Shang-Qian Xie, Jia Wen, Yuan-Ming Zhang
doaj   +1 more source

Multi-parental fungal mapping population study to detect genomic regions associated with Pyrenophora teres f. teres virulence

open access: yesScientific Reports, 2023
In recent years multi-parental mapping populations (MPPs) have been widely adopted in many crops to detect quantitative trait loci (QTLs) as this method can compensate for the limitations of QTL analyses using bi-parental mapping populations.
Buddhika A. Dahanayaka, Anke Martin
doaj   +1 more source

QTL Mapping Under Ascertainment [PDF]

open access: yesAnnals 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

Estimating genetic variance contributed by a quantitative trait locus: A random model approach.

open access: yesPLoS 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

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