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English Information

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Authors
# Name
1 Antonio A. Marreiras Neto(antonio.marreiras@lsbd.ufc.br)
2 Manuel Edvar B. Filho(edvar.filho@lsbd.ufc.br)
3 Javam Machado(javam.machado@lsbd.ufc.br)

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Reference
# Reference
1 Dwork, C., McSherry, F., Nissim, K., and Smith, A. (2006). Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography: Third Theory of Cryptography Conference, TCC 2006, New York, NY, USA, March 4-7, 2006. Proceedings 3, pages 265–284. Springer.
2 Han, Z., Liu, H., and Wu, Z. (2018). A differential privacy preserving framework with nash equilibrium in genome-wide association studies. In 2018 International Conference on Networking and Network Applications (NaNA), pages 91–96. IEEE.
3 Homer, N., Szelinger, S., Redman, M., Duggan, D., Tembe, W., Muehling, J., Pearson, J. V., Stephan, D. A., Nelson, S. F., and Craig, D. W. (2008). Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays. PLoS genetics, 4(8):e1000167.
4 Sei, Y. and Ohsuga, A. (2017). Privacy-preserving chi-squared testing for genome snp databases. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3884–3889. IEEE.
5 Wang, M., Ji, Z., Wang, S., Kim, J., Yang, H., Jiang, X., and Ohno-Machado, L. (2017). Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies. Bioinformatics, 33(23):3716–3725.
6 Wang, R., Li, Y. F., Wang, X., Tang, H., and Zhou, X. (2009). Learning your identity and disease from research papers: information leaks in genome wide association study. In Proceedings of the 16th ACM conference on Computer and communications security, pages 534–544.
7 Yamamoto, A. and Shibuya, T. (2021). More practical differentially private publication of key statistics in gwas. Bioinformatics Advances, 1(1):vbab004.