عنوان

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

شابک

1461494435 (electronic bk.)

شابک

9781461494430 (electronic bk.)

شابک اشتباه

9781461494423

شماره

dltt

عنوان اصلي

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

نام عام مواد

[Book]

نام نخستين پديدآور

Daniel O. Stram

نام خاص و کميت اثر

1 online resource (xv, 334 pages) :

ساير جزييات

illustrations.

عنوان فروست

Statistics for Biology and Health,

شاپا ي ISSN فروست

1431-8776

متن يادداشت

Includes bibliographical references and index

متن يادداشت

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

بدون عنوان

0

متن يادداشت

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

موضوع مستند نشده

Bioinformatics.

موضوع مستند نشده

Human population genetics-- Statistical methods.

موضوع مستند نشده

Human Genetics.

موضوع مستند نشده

Statistical Theory and Methods.

موضوع مستند نشده

Statistics for Life Sciences, Medicine, Health Sciences.

موضوع مستند نشده

Statistics.

موضوع مستند نشده

MBNS

موضوع مستند نشده

MED090000

موضوع مستند نشده

PBT

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Stram, Daniel O.

مستند نام تنالگان تاييد نشده

Ohio Library and Information Network.

تاريخ عمليات

20150224074349.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y