BMLRc whole Chromosome 6 (100 replicats) NA 0 ,
Exploiting Gene-Environment Interaction to Detect Genetic Associations, Human Heredity, vol.21, issue.2, pp.111-119, 2007. ,
DOI : 10.1002/(SICI)1097-0258(19970815)16:15<1731::AID-SIM595>3.0.CO;2-S
Gene-environment interaction in genome-wide association studies, American journal of epidemiology, vol.169, issue.2, pp.219-226, 2009. ,
Simultaneously testing for marginal genetic association and geneenvironment interaction, American journal of epidemiology, vol.176, issue.2, pp.164-173, 2012. ,
Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction, Biometrika, p.44, 2012. ,
Is it possible to detect G??E interactions in GWAS when causal exposure is unobserved?, Journal of Epidemiological Research, vol.2, issue.1, p.109, 2015. ,
DOI : 10.5430/jer.v2n1p109
URL : https://hal.archives-ouvertes.fr/hal-01255369
Ordered subset analysis in genetic linkage mapping of complex traits, Genetic epidemiology, vol.27, issue.1, pp.53-63, 2004. ,
Ordered subset analysis for case-control studies, Genetic Epidemiology, vol.27, issue.5, pp.407-417, 2010. ,
DOI : 10.1093/oxfordjournals.aje.a010093
URL : http://europepmc.org/articles/pmc2937265?pdf=render
Fast estimation of posterior probabilities in change-point analysis through a constrained hidden markov model, Computational Statistics & Data Analysis, vol.68, pp.129-140, 2013. ,
A change-point model for detecting heterogeneity in ordered survival responses. Statistical Methods in Medical Research, p.0962280217707231, 2016. ,
DOI : 10.1177/0962280217707231
URL : https://hal.archives-ouvertes.fr/hal-01287075
pROC: an open-source package for R and S+ to analyze and compare ROC curves, BMC Bioinformatics, vol.12, issue.1, p.77, 2011. ,
DOI : 10.1007/s00134-009-1641-y
URL : https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-12-77?site=bmcbioinformatics.biomedcentral.com
Basic principles of roc analysis, Seminars in nuclear medicine, pp.283-298, 1978. ,
Alternative Methods for H1 Simulations in Genome-Wide Association Studies, Human Heredity, vol.73, issue.2, pp.95-104, 2012. ,
DOI : 10.1159/000336194
URL : https://hal.archives-ouvertes.fr/hal-00915530
R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2013. ,
The international hapmap project web site, Genome research, vol.15, issue.11, pp.1592-1593, 2005. ,
al. The international hapmap project, Nature, issue.6968, pp.426789-796, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-01451933