Book Details


Heterogeneity in Statistical Genetics

Publication year: 2020

ISBN: 978-3-030-61121-7

Internet Resource: Please Login to download book

Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon.In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association.

Subject: Mathematics and Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Human Genetics / Heterogeneity / Mixed Models / Mixture Models / Statistical Genetics / Biostatistics / Genomic Misclassification / Genomic Classification / Next-Generation Sequencing / Phenotype Misclassification / Phenotype Classification / Phenotype Data / Longitudinal Phenotype