4.2.2.4 Pooled Association Tests forRare Variants4.2.2.5 A Data-Adaptive Sum Test (Consider theDirection); 4.2.2.6 Alpha Test; 4.2.2.7 Sequence Kernel Association Test (SKAT); 4.2.2.8 A General Framework forDetecting Disease Associations withRare Variants inSequencing Studies; 4.2.2.9 Haplotype-Based Collapsing Test; 4.2.2.10 Odds Ratio Weighted Sum Statistic (ORWSS); 4.2.2.11 Combining Related andUnrelated Individual Together toDetect Rare Variants; 4.3 Discussion; References; Chapter 5: Whole-Genome Association Analysis of Treatment Response from Obsessive-Compulsive Disorder.
6.3 Other Types ofQuantitative Traits6.4 Software andAlgorithm forQTL Mapping; 6.5 Applications ofQTL Mapping inGenetic Studies ofComplex Diseases; 6.6 Database or QTL Mapping Results; References; Chapter 7: From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC); 7.1 Introduction; 7.2 The Working Model; 7.3 Candidate-Gene Association Studies; 7.3.1 Apoptosis andCell Cycle Arrest Pathways; 7.3.2 Carcinogen Metabolism andDetoxification Pathways; 7.3.3 DNA Repair Pathways; 7.3.4 Cytokines andGrowth Factors; 7.3.5 Cell Adhesion.
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SUMMARY OR ABSTRACT
Text of Note
The volume provides a review of statistical development and application in the area of human genomics, including candidate gene mapping, linkage analysis, population-based genome-wide association, exon sequencing, and whole genome sequencing analysis. The authors are extremely experienced in the field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.