Ancestral polymorphism prediction method based on big data artificial intelligence algorithm

A technology of artificial intelligence and prediction method, applied in the fields of genomics, instrumentation, proteomics, etc., can solve the problems of inaccurate ancestry and haplogroup typing, inaccurate typing, and tracing ancestral origin, etc. Variability, low mutation rate, good predictive analysis effect

Pending Publication Date: 2021-01-15
深圳市盛景基因生物科技有限公司
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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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  • Ancestral polymorphism prediction method based on big data artificial intelligence algorithm

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Embodiment Construction

[0023] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present invention, so the present invention is not limited by the specific implementations disclosed below.

[0024] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected ...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/20G16B20/30G16B40/20
CPCG16B20/20G16B20/30G16B40/20
Inventor 刘望霞
Owner 深圳市盛景基因生物科技有限公司
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