Analysis and Study of the Correlation of Genetic Loci
Yang Liu, Xiaojun Bai, Xiaofeng Kang
Available Online December 2016.
- https://doi.org/10.2991/mcei-16.2016.237How to use a DOI?
- SNP loci; Linear mixture model; Genome-wide association analysis
- Based on information of 1000 samples provided by single nucleotide polymorphisms, analyzing the existing SNP data, using the optimized linear mixed model for data screening of correlation analysis, the coding mode of each given locus bases (A, T, C, G) are encoded into numerical encoding, with correlation analysis of collection of evolutionary algorithms, the corresponding figure in Manhattan and risk point and the position of the gene are obtained for further operations of the transferred numerical language, and finally got the image of the corresponding computing program operation and results. By carrying out statistical analysis and inspection for results, the score genotype data are more reasonable and accurate to explain theoretically the rationality of the discovered disease locus and gene.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yang Liu AU - Xiaojun Bai AU - Xiaofeng Kang PY - 2016/12 DA - 2016/12 TI - Analysis and Study of the Correlation of Genetic Loci BT - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) PB - Atlantis Press SP - 1132 EP - 1137 SN - 1951-6851 UR - https://doi.org/10.2991/mcei-16.2016.237 DO - https://doi.org/10.2991/mcei-16.2016.237 ID - Liu2016/12 ER -