title: Statistical analysis of rare sequence variants: an overview of collapsing methods.
abstract: With the advent of novel sequencing technologies, interest in the identification of rare variants that influence common traits has increased rapidly. Standard statistical methods, such as the Cochrane-Armitage trend test or logistic regression, fail in this setting for the analysis of unrelated subjects because of the rareness of the variants. Recently, various alternative approaches have been proposed that circumvent the rareness problem by collapsing rare variants in a defined genetic region or sets of regions. We provide an overview of these collapsing methods for association analysis and discuss the use of permutation approaches for significance testing of the data-adaptive methods.
authors: Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
authors: Carmen
authors: C
authors: Dering
authors: Claudia
authors: C
authors: Hemmelmann
authors: Elizabeth
authors: E
authors: Pugh
authors: Andreas
authors: A
authors: Ziegler
mesh_terms: D020022:Genetic Predisposition to Disease; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D017720:Molecular Epidemiology / Q000379:methods*; D017421:Sequence Analysis