Analysis and Study of the Correlation of Genetic Loci

DOI

10.2991/mcei-16.2016.237How to use a DOI?

Keywords

SNP loci; Linear mixture model; Genome-wide association analysis

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/mcei-16.2016.237
ID  - Liu2016/12
ER  -