Ancestral polymorphism prediction method based on big data artificial intelligence algorithm

Abstract

The invention discloses an ancestral polymorphism prediction method based on a big data artificial intelligence algorithm. The method comprises the following steps: S1, selecting thousand-person genome data; S2, screening a plurality of microhaplotype sites from a part of different crowds, and carrying out size classification according to the average effective allele number of the different crowds; S3, carrying out group structure analysis on part of different crowds, and carrying out source classification on the different crowds; and S4, selecting a plurality of microhaplotype sites accordingto the information degree value and the average effective allele value. According to the invention, the microhaplotype is used for detecting and classifying the genes of the crowds, so that the method has the advantages of good high polymorphism, low mutation rate and length, can well predict and analyze the genes and sources of the crowds, and is high in accuracy; a plurality of diallelic SNP loci, a plurality of triallelic SNP loci and a plurality of microhaplotype loci are selected according to indexes such as information degree, fixed indexes and effective allele number, so that the accuracy of ancestral sources is respectively high.

Description

technical field [0001] The invention relates to the technical field of big data ancestry polymorphism prediction, in particular to a method for ancestry polymorphism prediction based on big data artificial intelligence algorithm. Background technique [0002] Modern biological theory believes that genes are the basic unit of inheritance. In the process of human reproduction, genetic characteristics are passed on to the next generation through genes, and the offspring obtain a set of chromosomes from both parents. On the other hand, it also enriches the diversity of genetic characteristics of offspring. In the process of human population evolution, a variety of genetic mutations will accumulate in DNA, also known as single nucleotide polymorphism sites (SNPs). ), and the mutation sites accumulated in different populations are also different, so SNP can reflect the genetic characteristics of the population to a certain extent. [0003] At present, most of the ancestry analysi...

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Problems solved by technology

[0003] At present, most of the ancestry analysis technologies on the market use open source databases, among which the sample size of Chinese individuals is small, resulting in inaccurate ancestry and haplogroup typing, and inaccurate typing, so that it is impossible to accurately trace the ancestry

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