Model-free analysis and permutation tests for allelic associations.
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.
Zhao
J H
JH
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
Curtis
D
D
Sham
P C
PC
D000465:Algorithms; D000483:Alleles; D005838:Genotype; D006239:Haplotypes; D008957:Models, Genetic; D012984:Software