Statistical Methods for QTL Mapping

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A01=Zehua Chen
advanced QTL mapping techniques
Age Group_Uncategorized
Age Group_Uncategorized
Author_Zehua Chen
automatic-update
backcross
Backcross Design
Bayesian inference genetics
Bayesian models and MCMC algorithms
BIC Type Criterion
Category1=Non-Fiction
Category=PSAK
composite
Conditional Expectation
COP=United Kingdom
Crossover Interference
data complexity of QTL mapping
Delivery_Pre-order
dense marker analysis
design
Em Algorithm
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eQTL Mapping
feature selection and QTL mapping problem with dense markers
flank
Flanking Markers
fraction
genetic linkage analysis
Genetic Quantitative Traits
geneticists and statisticians specializing in QTL mapping
genetics topics and statistical principles
genome-wide multiple-QTL model approaches
Genotype Qq
genotypes
graduate level genetics
Haldane Mapping Function
Interval Mapping
Language_English
LOD Score
marker
Marker Genotypes
MCMC Procedure
methods for multi-trait QTL mapping and eQTL mapping
modern statistical methodology for QTL mapping
Multiple Interval Mapping
multiple interval mapping methods
multivariate trait mapping
one-dimensional QTL mapping approaches
PA=Not yet available
Penalized Likelihood Methods
Price_€50 to €100
PS=Forthcoming
Putative QTL
QTL Effect
QTL Genotype
QTL Mapping
quantitative
recombination
Recombination Fraction
Reversible Jump MCMC
Scad Penalty
Single Marker Analysis
Single QTL Model
softlaunch
statistical approaches for quantitative trait loci mapping
statistical genomics methods
trait

Product details

  • ISBN 9781032922683
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping.

After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures.

This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.

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