<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Analysis and Study the Correlation of Genetic Loci

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Analysis and Study the Correlation of Genetic Loci"}

Based on information of 1000 samples provided by single nucleotide polymorphisms, analyzing the existing SNP data, using the optimized linear mixed model for...

Analysis and Study the Correlation of Genetic Loci

Online veröffentlicht: 08. Apr. 2018

Seitenbereich: 118 - 124

Eingereicht: 18. Okt. 2016

DOI: https://doi.org/10.21307/mcei-16.2016.237

Schlüsselwörter
SNP loci, linear mixture model, Genome-wide association analysis

© 2016 Liu Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis and Study the Correlation of Genetic Loci

Online veröffentlicht: 08. Apr. 2018

Seitenbereich: 118 - 124

Eingereicht: 18. Okt. 2016

DOI: https://doi.org/10.21307/mcei-16.2016.237

SchlüsselwörterSNP loci, linear mixture model, Genome-wide association analysis

© 2016 Liu Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
SNP loci, linear mixture model, Genome-wide association analysis