B. L. Browning and S. R. Browning, Genotype Imputation with Millions of Reference 298 Samples, Am J Hum Genet, vol.98, issue.1, 2016.

M. A. Depristo, E. Banks, R. E. Poplin, K. V. Garimella, J. R. Maguire et al., A framework for variation discovery and genotyping using next-generation DNA 301 sequencing data, J. Nat Genet, vol.300, issue.435, pp.491-498, 2011.

S. Y. Kim, K. E. Lohmueller, A. Albrechtsen, Y. Li, T. Korneliussen et al., Estimation of allele frequency and association mapping using next-generation sequencing data, BMC Bioinformatics, vol.12, issue.1, pp.231-231, 2011.
DOI : 10.1101/gr.107524.110

Y. Li, C. J. Willer, J. Ding, P. Scheet, and G. R. Abecasis, MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes, Genetic Epidemiology, vol.80, issue.8, pp.816-834, 2010.
DOI : 10.1002/gepi.20533

URL : http://onlinelibrary.wiley.com/doi/10.1002/gepi.20533/pdf

E. Y. Liu, S. Buyske, A. K. Aragaki, U. Peters, E. Boerwinkle et al., Genotype Imputation of MetabochipSNPs Using a Study-Specific Reference Panel of ???4,000 Haplotypes in African Americans From the Women's Health Initiative, Genetic Epidemiology, vol.19, issue.7, pp.107-117, 2012.
DOI : 10.1093/hmg/ddq423

G. Pistis, E. Porcu, S. I. Vrieze, C. Sidore, M. Steri et al., Rare variant genotype imputation with thousands of study-specific whole-genome sequences: implications for cost-effective study designs, European Journal of Human Genetics, vol.3, issue.7, pp.975-983, 2015.
DOI : 10.1038/ng.781