Permutation Testing for Isotonic Inference on Association Studies in Genetics

by Salmaso, Luigi

Type Book

Rate 0.0 /5

Details

Files

Reviews

Download

Title Statements

Full title :Permutation Testing for Isotonic Inference on Association Studies in Genetics / by Luigi Salmaso, Rosa Arboretti, Livio Corain, Dario Mazzaro.

Summary

The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and likelihood-based tests to perform case-control analyses to study allelic association between marker, disease-gene and environmental factors. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles together. Furthermore, we show simulations under different assumptions on the genetic model and analyse real data sets by simply studying one locus with the permutation test.

Edition Statements

Publication Date:2011.
Edition:1st ed. 2011

Publication Statements

Publisher(s):Imprint: Springer, Springer Berlin Heidelberg
Place of Publication:Berlin, Heidelberg
Language:eng
Publication Date:2011.

The Physical Object

Description:1 online resource (VI, 72 p. 13 illus. :) : online resource.

Edition Identifiers

ISBN:9783642205842, 3642205844, 9783642205835, 3642205836, 9783642205859, 3642205852
DOI:10.1007/978-3-642-20584-2
oclc:on1162625079
Dewey Decimal:519.5

Introduction -- Association Studies in Genetics -- The Nonparametric Permutation Methodology -- Statistical Problems of Allelic Association -- Power and Sample Size Simulations -- Case Study -- Conclusions -- References.

Subjects

bioengineering Biotechnologie Biotechnology Cytologie -- Recherche Cytology -- Research Génétique humaine Human genetics Pharmacy Psychometrics Psychométrie Statistics