R. Fisher, The correlation between relatives on the supposition of mendelian inheritance. Transactions of the Roy al Society of, Edinburgh, vol.52, issue.3, pp.399-433, 1918.

H. Cordell, Properties of case/pseudocontrol analysis for genetic association studies: Effects of recombination, ascertainment, and multiple affected offspring, Genetic Epidemiology, vol.62, issue.3, pp.186-205, 2004.
DOI : 10.1002/gepi.10306

H. Cordell, B. Barratt, and D. Clayton, Case/pseudocontrol analysis in genetic association studies: A unified framework for detection of genotype and haplotype associations, gene-gene and gene-environment interactions, and parent-of-origin effects, Genetic Epidemiology, vol.54, issue.3, pp.167-185, 2004.
DOI : 10.1002/gepi.10307

H. Cordell and D. Clayton, A Unified Stepwise Regression Procedure for Evaluating the Relative Effects of Polymorphisms within a Gene Using Case/Control or Family Data: Application to HLA in Type 1 Diabetes, The American Journal of Human Genetics, vol.70, issue.1, pp.124-141, 2002.
DOI : 10.1086/338007

R. Culverhouse, B. Suarez, J. Lin, and T. Reich, A Perspective on Epistasis: Limits of Models Displaying No Main Effect, The American Journal of Human Genetics, vol.70, issue.2, pp.461-471, 2002.
DOI : 10.1086/338759

D. Ma, P. Whitehead, M. Menold, E. Martin, A. Ashley-koch et al., Identification of Significant Association and Gene-Gene Interaction of GABA Receptor Subunit Genes in Autism, The American Journal of Human Genetics, vol.77, issue.3, pp.377-388, 2005.
DOI : 10.1086/433195

M. Ochoa, A. Marti, C. Azcona, M. Chueca, M. Oyarzabal et al., Gene???gene interaction between PPAR??2 and ADR??3 increases obesity risk in children and adolescents, International Journal of Obesity, vol.28, issue.3 9, pp.37-41, 2004.
DOI : 10.1038/sj.ijo.0802803

C. Coffey, P. Hebert, M. Ritchie, H. Krumholz, J. Gaziano et al., An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene interactions on risk of myocardial infarction: The importance of model validation, BMC Bioinformatics, vol.5, issue.1, p.49, 2004.
DOI : 10.1186/1471-2105-5-49

W. Mcardle, R. Twells, and J. Todd, No evidence of association or interaction between the il4ra, il4, and il13 genes in type 1 diabetes, Am J Hum Genet, vol.76, issue.11, pp.517-521, 2005.

M. Alizadeh, M. Babron, B. Birebent, F. Matsuda, E. Quelvennec et al., Genetic interaction ofCTLA-4 with HLA-DR15 in multiple sclerosis patients, Annals of Neurology, vol.134, issue.1, pp.119-122, 2003.
DOI : 10.1002/ana.10617

A. Templeton, Epistasis and complex traits In: Wade m, brodie b iii, wolf j (eds) epistasis and the evolutionary process, p.14, 2000.

J. Moore, The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases, Human Heredity, vol.56, issue.1-3, pp.73-82, 2003.
DOI : 10.1159/000073735

R. Spielman, R. Mcginnis, and W. Ewens, Transmission test for linkage disequilibrium: The insulin gene region and insulin-dependent diabetes mellitus (iddm), Am J Hum Genet, vol.52, pp.506-516, 1993.

H. Bickeboller and F. Clerget-darpoux, Statistical properties of the allelic and genotypic transmission/disequilibrium test for multiallelic markers, Genetic Epidemiology, vol.42, issue.6, pp.865-870, 1995.
DOI : 10.1002/gepi.1370120656

W. Li and J. Reich, A Complete Enumeration and Classification of Two-Locus Disease Models, Human Heredity, vol.50, issue.6, pp.334-349, 2000.
DOI : 10.1159/000022939

R. Magi, L. Kaplinski, and M. Remm, THE WHOLE GENOME TAGSNP SELECTION AND TRANSFERABILITY AMONG HAPMAP POPULATIONS, Biocomputing 2006, pp.535-543, 2006.
DOI : 10.1142/9789812701626_0049