part Part 0. Introductory Material -- chapter 1 A brief introduction to meta-analysis, genetics and genomics -- part Part I. Similar Data Types I: Genotype Data -- chapter 2 Combining information across genome-wide linkage scans -- chapter 3 Genome search meta-analysis (GSMA): a nonparametric method for meta-analysis of genome-wide linkage studies -- chapter 4 Heterogeneity in meta-analysis of quantitative trait linkage studies -- chapter 5 An empirical Bayesian framework for QTL genome-wide scans / part Part II. Similar Data Types II: Gene Expression Data -- chapter 6 Composite hypothesis testing: an approach built on intersection-union tests and Bayesian posterior probabilities -- chapter 7 Frequentist and Bayesian error pooling methods for enhancing statis- tical power in small sample microarray data analysis -- chapter 8 Significance testing for small microarray experiments -- chapter 9 Comparison of meta-analysis to combined analysis of a replicated mi- croarray study -- chapter 10 Alternative probe set definitions for combining microarray data across studies using different versions of Affymetrix oligonucleotide arrays -- chapter 11 Gene ontology-based meta-analysis of genome-scale experiments -- part Part III. Combining Different Data Types -- chapter 12 Combining genomic data in human studies -- chapter 13 An overview of statistical approaches for expression trait loci mapping -- chapter 14 Incorporating GO annotation information in expression trait loci map- ping -- chapter 15 A misclassification model for inferring transcriptional regulatory net- works -- chapter 16 Data integration for the study of protein interactions -- chapter 17 Gene trees, species trees, and species networks.