title: Model-free analysis and permutation tests for allelic associations.
abstract: In this short report, we address some practical problems in performing likelihood-based allelic association analysis of case-control data. Model-free statistics are proposed and their properties assessed by simulation, and procedures based on permutation tests are described for marker-marker as well as marker-disease associations. A memory-efficient algorithm is developed which enables several highly polymorphic markers to be analysed.
authors.affiliation: Department of Psychological Medicine, Institute of Psychiatry, St. Bartholomew's and Royal London School of Medicine and Dentistry, London, UK. j.zhao@iop.kcl.ac.uk
authors.forename: J H
authors.initials: JH
authors.lastname: Zhao
authors.forename: D
authors.initials: D
authors.lastname: Curtis
authors.forename: P C
authors.initials: PC
authors.lastname: Sham
mesh_terms: D000465:Algorithms; D000483:Alleles; D005838:Genotype; D006239:Haplotypes; D008957:Models, Genetic; D012984:Software