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Y haplogroup detection method

A detection method and group information technology, applied in the field of gene mapping, can solve the problems of easy error, inability to apply SNP typing results at the same time, and insufficient applicability of detection algorithms, achieving strong fault tolerance, improving flexibility and wide application, Detecting effects with high applicability

Active Publication Date: 2017-09-12
深圳市早知道科技有限公司
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the above-mentioned detection algorithm of the prior art cannot be applied to the SNP typing results of the next-generation sequencing results and the high-throughput micro array at the same time, so that the applicability of the detection algorithm is not high enough and error-prone Defects, providing a Y haplogroup detection method

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] The human genome consists of 22 pairs of autosomes and XY two sex chromosomes, of which 22 pairs of autosomes have two in males and females; and sex chromosomes, females have two X chromosomes, males have one X chromosome and one Y chromosome. Therefore, in human inheritance, the Y chromosome can only be inherited by male individuals from their fathers, and this chromosome will not undergo homologous recombination. The paternal ancestry is deduced and a rooted Y chromosome haplogroup tree is formed.

[0027] This Y chromosome haplogroup tree divides modern humans into 18 major types, using...

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Abstract

The invention relates to a Y haplogroup detection method. The method comprises the following steps that reference Y haplogroup tree information of Y haplogroup trees for reference is obtained, wherein the reference Y haplogroup tree information comprises reference haplogroup information of each reference haplogroup in the Y haplogroup trees; each piece of reference haplogroup information is matched with test SNP information to obtain at least one target reference haplogroup meeting the preset condition; according to reference haplogroup coordinate information of the target reference haplogroups, a first numerical value and a second numerical value related to the target reference haplogroups are obtained, each target reference haplogroup is scored, and result information corresponding to the target reference haplogroup with the highest score is output. According to the Y haplogroup detection method, the reference haplogroup and a test haplogroup are compared, the scoring system based on a path starting from a root node to the target haplogroups can adapt to a next-generation sequencing result and a high-throughput micro array SNP genotyping result at the same time, the detection applicability is higher, and the application range of detection means is enlarged.

Description

technical field [0001] The invention relates to gene surveying and mapping technology, more specifically, relates to a Y haplogroup detection method. Background technique [0002] The human genome consists of 22 pairs of autosomes and XY two sex chromosomes, of which 22 pairs of autosomes have two in males and females; and sex chromosomes, females have two X chromosomes, males have one X chromosome and one Y chromosome. Therefore, in human inheritance, the Y chromosome can only be inherited by male individuals from their fathers, and the chromosome will not undergo homologous recombination, so the SNP (Single Nucleotide Polymorphism) on it can be used Marking, using the method of molecular biology, to invert and calculate the paternal ancestry, and form a rooted Y chromosome haplogroup tree. [0003] This Y chromosome haplogroup tree divides modern humans into 18 major types, using the eighteen letters from A to R as indexes. The SNP corresponding to the parent node on th...

Claims

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Application Information

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IPC IPC(8): G06F19/20
CPCG16B25/00
Inventor 姚笑天王传超唐森威陈钢郑强
Owner 深圳市早知道科技有限公司
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