Applied Computational Genomics

1. Front Matter

   Pages i-xii

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2. Introduction

   • Yin Yao Shugart, Andrew Collins

   Pages 1-10

3. Concepts of Genetic Epidemiology

   • Kathleen Ries Merikangas

   Pages 11-20

4. Integration of Linkage Analysis and Next-Generation Sequencing Data

   • Francesca Lantieri, Mark A. Levenstien, Marcella Devoto

   Pages 21-34

5. From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC)

   • Timothy J. Jorgensen, Hai-De Qin, Yin Yao Shugart

   Pages 35-60

6. QTL Mapping of Molecular Traits for Studies of Human Complex Diseases

   • Chunyu Liu

   Pages 61-82

7. Renewed Interest in Haplotype: From Genetic Marker to Gene Prediction

   • Shuying Sue Li, Xinyi Cindy Zhang, Lue Ping Zhao

   Pages 83-104

8. Analytical Approaches for Exome Sequence Data

   • Andrew Collins

   Pages 105-120

9. Rare Variants Analysis in Unrelated Individuals

   • Tao Feng, Xiaofeng Zhu

   Pages 121-138

10. Gene Duplication and Functional Consequences

    • Xun Gu, Yangyun Zou, Zhixi Su

    Pages 139-156

11. From GWAS to Next-Generation Sequencing on Human Complex Diseases: The Implications for Translational Medicine and Therapeutics

    • Hai-De Qin, Alan Scott, Harold Z. Wang, Yin Yao Shugart

    Pages 157-179

12. Back Matter

    Pages 181-184

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"Applied Computational Genomics" focuses on an in-depth 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 area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. ​                        

• Gene mapping
• exon sequencing
• linkage analysis
• population-based genome-wide association
• whole genome sequencing analysis

• Bethesda, USA

  Yin Yao Shugart

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