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About this product
- DescriptionThis book presents the statistical aspects of designing, analyzing and interpreting the results of geme-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students in these fields the tools to design a powerful geme-wide study based on current techlogy. The other part of this is showing readers how to conduct analysis of the created study. Design and Analysis of Geme-Wide Association Studies provides a compendium of well-established statistical methods based upon single SNP associations. It also provides an introduction to more advanced statistical methods and issues. Kwing that techlogy, for instance large scale SNP arrays, is quickly changing, this text has significant lessons for future use with sequencing data. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the techlogy ensures its future applications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformatics tools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects.
- Author BiographyDr. Stram's interests center on the application of modern statistical methods to epidemiologic studies: his research includes methods in longitudinal analysis, meta-analysis, survival analysis, and the analysis of errors in exposure measurement and he is well known for his work on the Atomic Bomb survivors study, the Colorado Plateau Uranium Miners study, the Multiethnic Cohort study and on clinical trials of childhood cancer. He has been an investigator and collaborator on many large scale genetic association studies with an emphasis on multi-ethnic analyses, and has published widely on haplotype analysis, analysis of hidden population structure, and the design of multi-stage genotyping and genome-wide association studies.
- Author(s)Daniel O. Stram
- PublisherSpringer-Verlag New York Inc.
- Date of Publication19/08/2016
- SubjectMedicine: General
- Series TitleStatistics for Biology and Health
- Place of PublicationNew York
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Note39 black & white illustrations, 10 black & white tables, biography
- Weight539 g
- Width155 mm
- Height235 mm
- Spine19 mm
- Edition StatementSoftcover reprint of the original 1st ed. 2014
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