P. Brodin and M. Davis, Human immune system variation, Nature Reviews Immunology, vol.11, issue.1, pp.21-29, 2017.
DOI : 10.1586/14789450.2014.901157

D. Jager and P. , ImmVar project: Insights and design considerations for future studies of ???healthy??? immune variation, Seminars in Immunology, vol.27, issue.1, pp.51-57, 2015.
DOI : 10.1016/j.smim.2015.03.003

A. Liston, E. Carr, and M. Linterman, Shaping Variation in the Human Immune System, Trends in Immunology, vol.37, issue.10, pp.637-646, 2016.
DOI : 10.1016/j.it.2016.08.002

M. Davis, C. Tato, and D. Furman, Systems immunology: just getting started, Nature Immunology, vol.123, issue.7, pp.725-732, 2017.
DOI : 10.1097/ALN.0000000000000887
URL : http://europepmc.org/articles/pmc5790187?pdf=render

P. Brodin, Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences, Cell, vol.160, issue.1-2, pp.37-47, 2015.
DOI : 10.1016/j.cell.2014.12.020

V. Orrù, Genetic Variants Regulating Immune Cell Levels in Health and Disease, Cell, vol.155, issue.1, pp.242-256, 2013.
DOI : 10.1016/j.cell.2013.08.041

E. Carr, The cellular composition of the human immune system is shaped by age and cohabitation, Nature Immunology, vol.486, issue.4, pp.461-468, 2016.
DOI : 10.1360/jos170001

T. Horst and R. , Host and Environmental Factors Influencing Individual Human Cytokine Responses, Cell, vol.167, issue.4, pp.1111-1124, 2016.
DOI : 10.1016/j.cell.2016.10.018

S. Shen-orr, Defective Signaling in the JAK-STAT Pathway Tracks with Chronic Inflammation and Cardiovascular Risk in Aging Humans, Cell Systems, vol.3, issue.4, pp.374-384, 2016.
DOI : 10.1016/j.cels.2016.09.009

D. Furman, Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination, Proceedings of the National Academy of Sciences, vol.146, issue.6, pp.869-874, 2014.
DOI : 10.1016/j.cell.2011.08.015
URL : https://hal.archives-ouvertes.fr/inserm-00933693

K. Kaczorowski, Continuous immunotypes describe human immune variation and predict diverse responses, Proceedings of the National Academy of Sciences, vol.12, issue.30, pp.6097-6106, 2017.
DOI : 10.1016/0169-7439(93)85002-X

J. Blazkova, Multicenter Systems Analysis of Human Blood Reveals Immature Neutrophils in Males and During Pregnancy, The Journal of Immunology, vol.38, issue.6, pp.2479-2488, 2017.
DOI : 10.1111/j.1365-2141.2005.05794.x

Y. Li, A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans, Cell, vol.167, issue.4, pp.1099-1110, 2016.
DOI : 10.1016/j.cell.2016.10.017

Y. Li, Inter-individual variability and genetic influences on cytokine responses to bacteria and fungi, Nature Medicine, vol.1, issue.8, pp.952-960, 2016.
DOI : 10.1093/bioinformatics/bts163

M. Roederer, The Genetic Architecture of the Human Immune System: A Bioresource for Autoimmunity and Disease Pathogenesis, Cell, vol.161, issue.2, pp.387-403, 2015.
DOI : 10.1016/j.cell.2015.02.046

R. Aguirre-gamboa, Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits, Cell Reports, vol.17, issue.9, pp.2474-2487, 2016.
DOI : 10.1016/j.celrep.2016.10.053

M. Lee, Common Genetic Variants Modulate Pathogen-Sensing Responses in Human Dendritic Cells, Science, vol.484, issue.7395, p.1246980, 2014.
DOI : 10.1038/nature10921

B. Fairfax, Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression, Science, vol.3, issue.1, p.1246949, 2014.
DOI : 10.1186/gm217

H. Quach, Genetic Adaptation and Neandertal Admixture Shaped the Immune System of Human Populations, Cell, vol.167, issue.3, pp.643-656, 2016.
DOI : 10.1016/j.cell.2016.09.024
URL : https://hal.archives-ouvertes.fr/pasteur-01385620

T. Raj, Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes, Science, vol.92, issue.10, pp.519-523, 2014.
DOI : 10.1016/j.ajhg.2013.03.001

Y. Nedelec, Genetic ancestry and natural selection drive population differences in immune responses to pathogens, pp.167-657, 2016.

S. Kim-hellmuth, Genetic regulatory effects modified by immune activation contribute to autoimmune disease associations, Nature Communications, vol.24, issue.1, p.266, 2017.
DOI : 10.1093/hmg/ddv077

B. Fairfax and J. Knight, Genetics of gene expression in immunity to infection, Current Opinion in Immunology, vol.30, pp.63-71, 2014.
DOI : 10.1016/j.coi.2014.07.001

M. Peters, The transcriptional landscape of age in human peripheral blood, Nature Communications, vol.44, issue.1, p.8570, 2015.
DOI : 10.1038/ng.2213

R. Jansen, Sex differences in the human peripheral blood transcriptome, BMC Genomics, vol.15, issue.1, p.33, 2014.
DOI : 10.1186/1471-2105-12-322

F. Albert and L. Kruglyak, The role of regulatory variation in complex traits and disease, Nature Reviews Genetics, vol.30, issue.4, pp.197-212, 2015.
DOI : 10.1093/molbev/mss248

M. Schaub, A. Boyle, A. Kundaje, S. Batzoglou, and M. Snyder, Linking disease associations with regulatory information in the human genome, Genome Research, vol.22, issue.9, pp.1748-1759, 2012.
DOI : 10.1101/gr.136127.111

T. Raj, Common Risk Alleles for Inflammatory Diseases Are Targets of Recent Positive Selection, The American Journal of Human Genetics, vol.92, issue.4, pp.517-529, 2013.
DOI : 10.1016/j.ajhg.2013.03.001

G. Gibson, J. Powell, and U. Marigorta, Expression quantitative trait locus analysis for translational medicine, Genome Medicine, vol.24, issue.1, p.60, 2015.
DOI : 10.1093/hmg/ddu525

J. Pickrell, Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits, The American Journal of Human Genetics, vol.94, issue.4, pp.559-573, 2014.
DOI : 10.1016/j.ajhg.2014.03.004

Y. Li, RNA splicing is a primary link between genetic variation and disease, Science, vol.24, issue.6285, pp.600-604, 2016.
DOI : 10.1093/hmg/ddv256

H. Quach and L. Quintana-murci, and its immune response, The Journal of Experimental Medicine, vol.162, issue.4, pp.877-894, 2017.
DOI : 10.1016/j.ajhg.2010.05.004

L. Barreiro, Deciphering the genetic architecture of variation in the immune response to Mycobacterium tuberculosis infection, Proceedings of the National Academy of Sciences, vol.35, issue.suppl_2, pp.1204-1209, 2012.
DOI : 10.1093/nar/gkm323

M. Çal?s¸kançal?s¸kan, S. Baker, Y. Gilad, and C. Ober, Host Genetic Variation Influences Gene Expression Response to Rhinovirus Infection, PLOS Genetics, vol.40, issue.4, p.1005111, 2015.
DOI : 10.1371/journal.pgen.1005111.s018

K. Alasoo, Shared genetic effects on chromatin and gene expression reveal widespread enhancer priming in immune response, pp.10-1101, 2017.
DOI : 10.1101/102392

S. Klein and K. Flanagan, Sex differences in immune responses, Nature Reviews Immunology, vol.533, issue.10, pp.626-638, 2016.
DOI : 10.1016/j.gene.2013.10.006

L. Steeg and S. Klein, SeXX Matters in Infectious Disease Pathogenesis, PLOS Pathogens, vol.33, issue.11, p.1005374, 2016.
DOI : 10.1371/journal.ppat.1005374.g002

A. Urrutia, Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses, Cell Reports, vol.16, issue.10, pp.2777-2791
DOI : 10.1016/j.celrep.2016.08.011
URL : https://hal.archives-ouvertes.fr/pasteur-01367555

A. Viñuela, L. Snoek, J. Riksen, and J. Kammenga, Genome-wide gene expression regulation as a function of genotype and age in C. elegans, Genome Research, vol.20, issue.7, pp.929-937, 2010.
DOI : 10.1101/gr.102160.109

M. Somel, P. Khaitovich, S. Bahn, S. Pääbo, and M. Lachmann, Gene expression becomes heterogeneous with age, Current Biology, vol.16, issue.10, pp.359-360, 2006.
DOI : 10.1016/j.cub.2006.04.024

R. Bahar, Increased cell-to-cell variation in gene expression in ageing mouse heart, Nature, vol.11, issue.7096, pp.1011-1014, 2006.
DOI : 10.1093/mutage/11.1.111

O. Sobolev, Adjuvanted influenza-H1N1 vaccination reveals lymphoid signatures of age-dependent early responses and of clinical adverse events, Nature Immunology, vol.63, issue.2, pp.204-213, 2016.
DOI : 10.3389/fimmu.2013.00271

S. Melzer, Reference intervals for leukocyte subsets in adults: Results from a population-based study using 10-color flow cytometry, Cytometry Part B: Clinical Cytometry, vol.84, issue.4, pp.270-281, 2015.
DOI : 10.1189/jlb.0907627

D. Gunzler, T. Chen, P. Wu, and H. Zhang, Introduction to mediation analysis with structural equation modeling, pp.390-394, 2013.

B. Howie, P. Donnelly, and J. Marchini, A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies, PLoS Genetics, vol.84, issue.6, p.1000529, 2009.
DOI : 10.1371/journal.pgen.1000529.s004

C. Yao, Sex- and age-interacting eQTLs in human complex diseases, Human Molecular Genetics, vol.24, issue.Suppl. 1, pp.1947-1956, 2014.
DOI : 10.1093/bioinformatics/btn564

A. Dimas, Sex-biased genetic effects on gene regulation in humans, Genome Research, vol.22, issue.12, pp.2368-2375
DOI : 10.1101/gr.134981.111

F. Zhang, Genomewide Association Study of Leprosy, New England Journal of Medicine, vol.361, issue.27, pp.2609-2618, 2009.
DOI : 10.1056/NEJMoa0903753

H. Liu, Discovery of six new susceptibility loci and analysis of pleiotropic effects in leprosy, Nature Genetics, vol.1, issue.3, pp.267-271, 2015.
DOI : 10.1093/bioinformatics/btn615

V. Naranbhai, Genomic modulators of gene expression in human neutrophils, Nature Communications, vol.7, issue.1, p.7545, 2015.
DOI : 10.1186/gb-2010-11-8-r90

J. Liu, Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations, Nature Genetics, vol.1, issue.9, pp.979-986
DOI : 10.2307/2530754

J. Bentham, Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus, Nature Genetics, vol.44, issue.12, pp.1457-1464, 2015.
DOI : 10.1038/ng.2394

D. Hinds, A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci, Nature Genetics, vol.15, issue.8, pp.907-911, 2013.
DOI : 10.1073/pnas.0903103106

S. Naitza, A Genome-Wide Association Scan on the Levels of Markers of Inflammation in Sardinians Reveals Associations That Underpin Its Complex Regulation, PLoS Genetics, vol.26, issue.1, p.1002480, 2012.
DOI : 10.1371/journal.pgen.1002480.s007

S. Thomas, The Milieu Int??rieur study ??? An integrative approach for study of human immunological variance, Clinical Immunology, vol.157, issue.2, pp.277-293
DOI : 10.1016/j.clim.2014.12.004

C. Whiting, Large-Scale and Comprehensive Immune Profiling and Functional Analysis of Normal Human Aging, PLOS ONE, vol.56, issue.7, p.133627, 2015.
DOI : 10.1371/journal.pone.0133627.s007

A. Vinuela, Age-dependent changes in mean and variance of gene expression across tissues in a twin cohort, 2016.
DOI : 10.1101/063883

T. Kozel, R. Brown, and G. Pfrommer, Activation and binding of C3 by Candida albicans, Infect Immun, vol.55, pp.1890-1894, 1987.

I. Kullo, Complement Receptor 1 Gene Variants Are Associated with Erythrocyte Sedimentation Rate, The American Journal of Human Genetics, vol.89, issue.1, pp.131-138, 2011.
DOI : 10.1016/j.ajhg.2011.05.019

K. Kukurba, Impact of the X Chromosome and sex on regulatory variation, Genome Research, vol.26, issue.6, pp.768-777, 2016.
DOI : 10.1101/gr.197897.115

D. Duffy, Functional Analysis via Standardized Whole-Blood Stimulation Systems Defines the Boundaries of a Healthy Immune Response to Complex Stimuli, Immunity, vol.40, issue.3, pp.436-450
DOI : 10.1016/j.immuni.2014.03.002
URL : https://hal.archives-ouvertes.fr/pasteur-01384537

M. Hasan, Semi-automated and standardized cytometric procedures for multi-panel and multi-parametric whole blood immunophenotyping, Clinical Immunology, vol.157, issue.2, pp.261-276
DOI : 10.1016/j.clim.2014.12.008
URL : https://hal.archives-ouvertes.fr/pasteur-01380961

Y. Aulchenko, S. Ripke, A. Isaacs, and C. Van-duijn, GenABEL: an R library for genome-wide association analysis, Bioinformatics, vol.76, issue.5, pp.1294-1296, 2007.
DOI : 10.1086/429864

Y. Aulchenko, M. Struchalin, and C. Van-duijn, ProbABEL package for genome-wide association analysis of imputed data, BMC Bioinformatics, vol.11, issue.1, p.134, 2010.
DOI : 10.1186/1471-2105-11-134