The Resource Phenotypes and genotypes : the search for influential genes, Florian Frommlet, Małgorzata Bogdam, David Ramsey

Phenotypes and genotypes : the search for influential genes, Florian Frommlet, Małgorzata Bogdam, David Ramsey

Label
Phenotypes and genotypes : the search for influential genes
Title
Phenotypes and genotypes
Title remainder
the search for influential genes
Statement of responsibility
Florian Frommlet, Małgorzata Bogdam, David Ramsey
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
This timely text presents a comprehensive guide to genetic association, a new and rapidly expanding field that aims to elucidate how our genetic code (genotypes) influences the traits we possess (phenotypes). The book provides a detailed review of methods of gene mapping used in association with experimental crosses, as well as genome-wide association studies. Emphasis is placed on model selection procedures for analyzing data from large-scale genome scans based on specifically designed modifications of the Bayesian information criterion. Topics and features: Presents a thorough introduction to the theoretical background to studies of genetic association (both genetic and statistical) Reviews the latest advances in the field, highlighting the advantages and shortcomings of the currently most commonly used methods Illustrates the properties of methods for mapping quantitative trait loci using computer simulations and the analysis of real data Discusses open challenges that remain to be solved in the future Includes an extensive statistical appendix as a reference for those who are not totally familiar with the fundamentals of statistics This important work is essential reading for researchers and graduate students wishing to enter the field of statistical genetics and/or interested in statistical issues related to the analysis of high-dimensional data. No prior background knowledge of genetics is required, although some basic mathematical and computer science skills are assumed. Dr. Florian Frommlet is a researcher in the Center for Medical Statistics, Informatics, and Intelligent Systems at the Medical University of Vienna, Austria. Dr. Małgorzata Bogdan is an Associate Professor in the Institute of Mathematics at Wrocław University, Poland. Dr. David Ramsey is a Senior Lecturer in the Department of Operations Research at Wrocław University of Technology, Poland
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Frommlet, Florian
Dewey number
576.5
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QH430
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
QU 450
http://library.link/vocab/relatedWorkOrContributorName
  • Bogdan, Małgorzata
  • Ramsey, David
Series statement
Computational biology
Series volume
volume 18
http://library.link/vocab/subjectName
  • Genetics
  • Phenotype
  • SCIENCE
  • Genetics
  • Phenotype
  • Computer Science
  • Computational Biology/Bioinformatics
  • Bioinformatics
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Genetics
  • Molecular biology
  • Probability & statistics
  • Life sciences: general issues
Label
Phenotypes and genotypes : the search for influential genes, Florian Frommlet, Małgorzata Bogdam, David Ramsey
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4471-5310-8
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Contents; Acronyms; 1 Introduction; References; 2 A Primer in Genetics; 2.1 Basic Biology; 2.1.1 Phenotypes and Genotypes; 2.1.2 Meiosis and Crossover; 2.1.3 Genetic Distance; 2.1.4 The Haldane Mapping Function; 2.1.5 Interference and Other Mapping Functions; 2.1.6 Markers and Genetic Maps; 2.2 Types of Study; 2.2.1 Crossing Experiments; 2.2.2 The Basics of QTL Mapping; 2.2.3 Association Studies; 2.2.4 Other Types of Study; References; 3 Statistical Methods in High Dimensions; 3.1 Overview; 3.2 Multiple Testing; 3.2.1 Classical Procedures Controlling FWER
  • 3.2.2 Permutation Tests and Resampling Procedures3.2.3 Controlling the False Discovery Rate; 3.2.4 Multiple Testing Under Sparsity. Minimizing the Bayesian Risk in Multiple Testing Procedures; 3.3 Model Selection; 3.3.1 The Likelihood Function; 3.3.2 Information Theoretical Approach; 3.3.3 Bayesian Model Selection and the Bayesian Information Criterion; 3.3.4 Modifications of BIC for High-Dimensional Data Under Sparsity; 3.3.5 Further Approaches to Model Selection; References; 4 Statistical Methods of QTL Mapping for Experimental Populations; 4.1 Classical Approaches
  • 4.1.1 Single Marker Tests4.1.2 Power of a Test Based on a Single Marker as a Function of the Distance Between the Marker and a QTL; 4.1.3 Genome Wide Search with Tests Based on Single Markers; 4.2 Interval Mapping; 4.2.1 Interval Mapping based on the mixture model; 4.2.2 Regression Interval Mapping; 4.2.3 Nonparametric Version of Interval Mapping; 4.2.4 Specific Models; 4.2.5 Overestimation of Genetic Effects; 4.3 Model Selection; 4.3.1 QTL mapping with mBIC; 4.3.2 Robust Version of mBIC; 4.3.3 Version of mBIC Based on Rank Regression; 4.3.4 Extensions to Generalized Linear Models
  • 4.3.5 mBIC for Dense Markers and Interval Mapping4.4 Logic Regression; 4.5 Applying mBIC in a Bayesian Approach; 4.6 Closing Remarks; References; 5 Statistical Analysis of GWAS; 5.1 Overview; 5.2 Inferring Genotypes; 5.2.1 Genotype Calling; 5.2.2 Imputation; 5.3 Single Marker Tests; 5.3.1 Case-Control Studies; 5.3.2 Quantitative Traits; 5.3.3 Covariates and Population Stratification; 5.3.4 Multiple Testing Correction; 5.3.5 Rare SNPs; 5.4 Model Selection; 5.4.1 Motivation; 5.4.2 HYPERLASSO; 5.4.3 GWASelect; 5.4.4 MOSGWA; 5.4.5 Comparison of Methods; 5.4.6 Mixed Models; 5.5 Admixture Mapping
  • 5.6 Gene -- Gene Interaction5.6.1 Analyzing Gene -- Gene Interaction via ANOVA; 5.6.2 Multifactor Dimensionality Reduction; 5.6.3 Logic Regression in GWAS; 5.7 Other Recent Advances and the Outlook for GWAS; References; 6 Appendix A: Basic Statistical Distributions; 6.1 Normal Distribution; 6.2 Important Distributions of Sample Statistics; 6.2.1 Chi-Square Distribution; 6.2.2 Student's t-Distribution; 6.2.3 F-distribution; 6.3 Gamma and Beta Distributions; 6.3.1 Exponential Distribution; 6.3.2 Inverse Gamma Distribution; 6.3.3 Beta Distribution; 6.4 Double Exponential Distribution and Extensions
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781447153108
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4471-5310-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)939519339
  • (OCoLC)ocn939519339
Label
Phenotypes and genotypes : the search for influential genes, Florian Frommlet, Małgorzata Bogdam, David Ramsey
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4471-5310-8
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface; Contents; Acronyms; 1 Introduction; References; 2 A Primer in Genetics; 2.1 Basic Biology; 2.1.1 Phenotypes and Genotypes; 2.1.2 Meiosis and Crossover; 2.1.3 Genetic Distance; 2.1.4 The Haldane Mapping Function; 2.1.5 Interference and Other Mapping Functions; 2.1.6 Markers and Genetic Maps; 2.2 Types of Study; 2.2.1 Crossing Experiments; 2.2.2 The Basics of QTL Mapping; 2.2.3 Association Studies; 2.2.4 Other Types of Study; References; 3 Statistical Methods in High Dimensions; 3.1 Overview; 3.2 Multiple Testing; 3.2.1 Classical Procedures Controlling FWER
  • 3.2.2 Permutation Tests and Resampling Procedures3.2.3 Controlling the False Discovery Rate; 3.2.4 Multiple Testing Under Sparsity. Minimizing the Bayesian Risk in Multiple Testing Procedures; 3.3 Model Selection; 3.3.1 The Likelihood Function; 3.3.2 Information Theoretical Approach; 3.3.3 Bayesian Model Selection and the Bayesian Information Criterion; 3.3.4 Modifications of BIC for High-Dimensional Data Under Sparsity; 3.3.5 Further Approaches to Model Selection; References; 4 Statistical Methods of QTL Mapping for Experimental Populations; 4.1 Classical Approaches
  • 4.1.1 Single Marker Tests4.1.2 Power of a Test Based on a Single Marker as a Function of the Distance Between the Marker and a QTL; 4.1.3 Genome Wide Search with Tests Based on Single Markers; 4.2 Interval Mapping; 4.2.1 Interval Mapping based on the mixture model; 4.2.2 Regression Interval Mapping; 4.2.3 Nonparametric Version of Interval Mapping; 4.2.4 Specific Models; 4.2.5 Overestimation of Genetic Effects; 4.3 Model Selection; 4.3.1 QTL mapping with mBIC; 4.3.2 Robust Version of mBIC; 4.3.3 Version of mBIC Based on Rank Regression; 4.3.4 Extensions to Generalized Linear Models
  • 4.3.5 mBIC for Dense Markers and Interval Mapping4.4 Logic Regression; 4.5 Applying mBIC in a Bayesian Approach; 4.6 Closing Remarks; References; 5 Statistical Analysis of GWAS; 5.1 Overview; 5.2 Inferring Genotypes; 5.2.1 Genotype Calling; 5.2.2 Imputation; 5.3 Single Marker Tests; 5.3.1 Case-Control Studies; 5.3.2 Quantitative Traits; 5.3.3 Covariates and Population Stratification; 5.3.4 Multiple Testing Correction; 5.3.5 Rare SNPs; 5.4 Model Selection; 5.4.1 Motivation; 5.4.2 HYPERLASSO; 5.4.3 GWASelect; 5.4.4 MOSGWA; 5.4.5 Comparison of Methods; 5.4.6 Mixed Models; 5.5 Admixture Mapping
  • 5.6 Gene -- Gene Interaction5.6.1 Analyzing Gene -- Gene Interaction via ANOVA; 5.6.2 Multifactor Dimensionality Reduction; 5.6.3 Logic Regression in GWAS; 5.7 Other Recent Advances and the Outlook for GWAS; References; 6 Appendix A: Basic Statistical Distributions; 6.1 Normal Distribution; 6.2 Important Distributions of Sample Statistics; 6.2.1 Chi-Square Distribution; 6.2.2 Student's t-Distribution; 6.2.3 F-distribution; 6.3 Gamma and Beta Distributions; 6.3.1 Exponential Distribution; 6.3.2 Inverse Gamma Distribution; 6.3.3 Beta Distribution; 6.4 Double Exponential Distribution and Extensions
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781447153108
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4471-5310-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)939519339
  • (OCoLC)ocn939519339

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