Open AccessPower and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification
Author(s) -
Camille M. Moore,
Sean Jacobson,
Tasha E. Fingerlin
Publication year - 2019
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000508558
Subject(s) - sample size determination , statistical power , genetic model , genetic association , type i and type ii errors , genetics , statistics , power (physics) , biology , gene , mathematics , single nucleotide polymorphism , genotype , physics , quantum mechanics
When analyzing data from large-scale genetic association studies, such as targeted or genome-wide resequencing studies, it is common to assume a single genetic model, such as dominant or additive, for all tests of association between a given genetic variant and the phenotype. However, for many variants, the chosen model will result in poor model fit and may lack statistical power due to model misspecification.