Handbook of statistical genetics
David J. Balding,M. J. Bishop,Chris Cannings +2 more
- 15 Jul 2004
- Iss: 1
678
TL;DR: This book presents a meta-analyses of the literature on quantitative and qualitative approaches to eukaryotic Gene Prediction and its applications to Genetics, and some of the techniques used in this work came from these reviews.
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Abstract: Editors' Preface. List of Contributors. BIOINFORMATICS. Chromosome Maps (T. Speed and H. Zhao). Statistical Significance in Biological Sequence Comparison (W. Pearson and T. Wood). Probabilistic Models for the Study of Protein Evolution (J. Thorne and N. Goldman). Statistical Approaches in Eukaryotic Gene Prediction (V. Solovyev). Protein Structure (W. Taylor). POPULATION GENETICS. Mathematical Models in Population Genetics (C. Neuhauser). Coalescent Theory (M. Nordborg). Inference Under the Coalescent (M. Stephens). Inferences from Spatial Population Genetics (F. Rousset). Analysis of Population Subdivision (L. Excoffier). Linkage Disequilibrium and Recombination (R. Hudson) EVOLUTIONARY GENETICS. Adaptive Molecular Evolution (Z. Yang). Genome Evolution (J. Brookfield). Virus Evolution (Y. Suzuki, et al.). Application of the Likelihood Function in Phylogenetic Analysis (J. Huelsenbeck and J. Bollback). Phylogenetics: Parsimony and Distance Methods (D. Penny and M. Hendy). GENETIC EPIDEMIOLOGY. Nonparametric Linkage (P. Holmans). The Transmission/Disequilibrium Test (W. Ewens and R. Spielman). Population Association (D. Clayton). Linkage Analysis (E. Thompson). ANIMAL AND PLANT GENETICS. Quantitative Trait Loci in Inbred Lines (R. Jansen). Mapping Quantitative Trait Loci in Outbred Pedigrees (I. Hoeschele). Inferences About Breeding Values (D. Gianola). Marker-Assisted Selection and Introgression (J. Whittaker). APPLICATIONS. Ethics in the Use of Statistics in Genetics (D. Beyleveld). Forensics (B. Weir). Pharmacogenetics (N. Schork, et al.). Statistical Basis of Risk Calculations (R. Chakraborty). Conservation Genetics (M. Beaumont). Genetic History of the Human Species (J. Relethford). Index
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TL;DR: The very large number of genetic variants in the human genome and the lack of detailed knowledge about the molecular and biochemical processes involved in aetiology of complex diseases or in drug response suggest that many spurious associations will be found and reported.
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Marco C. A. M. Bink,Martin P. Boer,C.J.F. ter Braak,Johannes Jansen,Roeland E. Voorrips,W.E. van de Weg +5 more
TL;DR: The Bayesian approach to analyze complex traits is presented and it was shown that estimates for QTL parameters were more accurate when non-genetic factors were included in the model and when a polygenic component was included when not all linkage groups were analyzed simultaneously.
A Unique Recent Origin of the Allotetraploid Species Arabidopsis suecica: Evidence from Nuclear DNA Markers
Mattias Jakobsson,Jenny Hagenblad,Simon Tavaré,Torbjörn Säll,Christer Halldén,Christina Lind-Halldén,Magnus Nordborg +6 more
TL;DR: It is likely that A. suecica has a recent, unique origin between 12,000 and 300,000 years ago and migrated north, perhaps in the wake of the retreating ice.
Mathematical properties of the r 2 measure of linkage disequilibrium
Jenna M. VanLiere,Noah A. Rosenberg +1 more
- 01 Jan 2008
TL;DR: The r(2) measure of LD and its mathematical relationship to allele frequencies is examined, quantifying the constraints on its maximum value and its potential to inform the interpretation of unusual LD behavior and to assist in the design of LD-based association-mapping studies.
An evaluation of HapMap sample size and tagging SNP performance in large-scale empirical and simulated data sets
Eleftheria Zeggini,W Rayner,W Rayner,Andrew P. Morris,Andrew T. Hattersley,Mark Walker,Graham A. Hitman,Panos Deloukas,Lon R. Cardon,Mark I. McCarthy,Mark I. McCarthy +10 more
TL;DR: Using large-scale empirical and simulated data sets, it is found that the sample sizes used in the HapMap project are sufficient to capture common variation, but that performance declines substantially for variants with minor allele frequencies of <5%.
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