عنوان

Design, analysis, and interpretation of genome-wide association scans /

(Number (ISBN

1461494435 (electronic bk.)

(Number (ISBN

9781461494430 (electronic bk.)

Erroneous ISBN

9781461494423

Number

dltt

Title Proper

Design, analysis, and interpretation of genome-wide association scans /

General Material Designation

[Book]

First Statement of Responsibility

Daniel O. Stram

Specific Material Designation and Extent of Item

1 online resource (xv, 334 pages) :

Other Physical Details

illustrations.

Series Title

Statistics for Biology and Health,

ISSN of Series

1431-8776

Text of Note

Includes bibliographical references and index

Text of Note

Introduction to Genome-Wide Association Studies -- Topics of Quantitative Genetics -- An Introduction to Association Studies -- Correcting for Hidden Population Structure in Single Marker Association Testing and Estimation -- Haplotype Imputation for Association Analysis -- SNP Imputation for Association Studies -- Design of Large-scale Genetic Association Studies, Sample Size and Power -- Post-GWAS Analyses

0

Text of Note

This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-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 genome-wide study based on current technology. The other part of this is showing readers how to conduct analysis of the created study. Design and Analysis of Genome-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. Knowing that technology, 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 technology 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

Bioinformatics.

Human population genetics-- Statistical methods.

Human Genetics.

Statistical Theory and Methods.

Statistics for Life Sciences, Medicine, Health Sciences.

Statistics.

MBNS

MED090000

PBT

Number

Edition

Class number

Stram, Daniel O.

Ohio Library and Information Network.

Date of Transaction

20150224074349.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y