KR102322308B1 - Apparatus and method for expanding the amount of omics sequencing data from partial omics sequencing data - Google Patents

Abstract

Disclosed are an apparatus and method for expanding production to full omics information by utilizing some omics information. The present invention expands production from partial omics information to full omics information through a series of inclusion processes using reference standard data for each omics, correlation information within individual omics, and correlation information between omics. In addition, it is possible to expand production from a small amount of omics information to full omics information by using information on the genetic similarity of samples having close kinship relationships, such as families. According to the present invention, it is possible to reduce resources (costs, etc.) required to produce the entire omics information.

Description

Apparatus and method for expanding the amount of omics sequencing data from partial omics sequencing data

The present invention relates to an apparatus and method for using partial omics information from one or a set of samples to expand and produce full omics information that can be derived from the single sample or a set of samples, Specifically, it relates to an apparatus and method for expanding production from partial omics information to full omics information through a series of inclusion processes using reference standard data for each omics, correlation information within individual omics, and correlation information between omics. will be.

It is the most extensive and diverse field of omics such as genome (genome, genome), transcriptome, exogenous (epigenome, epigenome), and long distance genetic mapping data. As a method of producing accurate genetic information (sequencing), it is common to produce and analyze sequence data such as genes and RNA of sufficient amount (eg, sequencing depth). However, in order to produce a sufficient amount of data, a high cost is incurred, and it is also very subjective that sufficient data is sufficient, and it is generally recognized that the greater the amount of production, the better. Therefore, in order to reduce this high production cost, there are methods such as targeted sequencing of only the target region, and manufacturing a chip that identifies only some biological markers called a biochip or DNA chip (a method of implanting target markers in an array, etc.). is being utilized

In the case of using DNA chip data, the target gene mutation sequence molecule (generally called a marker) is not planted, or the markers planted as the target may not be partially genotyped. A method of performing imputation analysis using linkage disequilibrium information calculated from genome) data, and producing genetic information in a region that is not produced through direct experiments (that is, increasing the coverage of the genome) ) is commonly used.

However, the currently used inclusion method based on the linkage disequilibrium relationship is limited to the target marker or a region adjacent to the target marker, and thus cannot produce/infer the whole genome or omics data. Therefore, a low-cost experimental method, that is, a method of deciphering the entire omics data accurately through a targeted sequencing method, a low pass sequencing (LPS) method, a chip method, etc., has been developed. This is a necessary situation.

Korean Patent Application Laid-Open No. 2014-0119723 (Dow AgroSciences LLC) 2014. 10. 10. Patent Document 1 is a data analysis of a DNA sequence, and Patent Document 1 includes a step of electronically receiving sequence data, expression of one or more electronically receiving one or more reference data sequences associated with the vector, associating the sequence data with one or more of the reference data sequences to identify a transgene flanking sequence, generating a genome for one or more insertion sites of the transgene flanking sequence; Disclosed is a method of analysis comprising searching, and annotating the genome and one or more insertion sites in the genome when one or more insertion sites are found in the searching step.

The technical problem to be achieved by the present invention is to provide a partial omics of one sample or a set of samples through a series of inclusion processes using reference standard data for each omics, correlation information within individual omics, and correlation information between omics. An object of the present invention is to provide an apparatus and method for expanding production to total omics information by using partial omics information that is expanded and produced from information to total omics information for a single sample or a set of samples.

According to an aspect of the present invention, there is provided a method for expanding and producing total omics information by using partial omics information according to the present invention, comprising: producing partial omics information for each of a plurality of omics; repeating inclusion for each of the plurality of omics by using the information related to the genetic information in each omics that has been previously established with respect to the partial omics information produced for each of the plurality of omics; performing additional inclusion with reference to a result obtained through repeated inclusion using association information between genetic information in individual omics, using previously established association information between genetic information between omics; and performing additional inclusion by using pre-established reference standard data for each omics with respect to a result obtained through additional inclusion using correlation information between genetic information between omics.

The repetitive inclusion may include: a first process of adding genetic data inferred through inclusion using the correlation information between genetic information in individual omics with respect to partial omics information produced for omics; a second process of re-adding the genetic data deduced through inclusion using the correlation information between the genetic information in individual omics with respect to the partial omics information produced for omics and the genetic data added in the previous process; and a third process of repeatedly performing the second process.

The repetitive inclusion may be performed using all association information between genetic information regardless of a position on a chromosome.

The association information between the genetic information in the individual omics may indicate a linkage imbalance between the genetic information in the omics.

The association information between the genetic information between the omics indicates a marker or genetic information showing a correlation between two or more omics, and eQTL (Single Nucleotide Polymorphism) on DNA that shows association with the expression of a gene (eQTL ( expresson Quantitative Trait Loci) and mQTL (methylation quantitative trait loci), which are SNPs on DNA that are correlated with the DNA methylation pattern of the exogenous genome.

The step of performing the additional inclusion using the reference standard data for each omics may include confirming the distribution of genetic information of the population from the reference standard data for each omics and performing additional inclusion by measuring the likelihood.

In the step of performing additional inclusion using the reference standard data for each omics, when a plurality of test samples belonging to a preset kinship range exist, the sequencing depth and variation between samples having hierarchical kinship with each other are analyzed. It may consist of performing additional inclusion using the information.

According to an aspect of the present invention, there is provided an apparatus for expanding and producing total omics information by using partial omics information to achieve the above technical problem, comprising: a production unit for producing partial omics information for each of a plurality of omics; A first inclusion unit that repeatedly performs inclusion for each of the plurality of omics by using information related to the genetic information in each omics that has been previously established with respect to the partial omics information produced for each of the plurality of omics. ; a second inclusion unit for performing additional inclusion by using previously-established association information between genetic information between omics for a result obtained through repeated inclusion using correlation information between genetic information in individual omics; and a third inclusion unit that performs additional inclusion by using pre-established reference standard data for each omics with respect to the result obtained through additional inclusion using the correlation information between genetic information between omics.

The first inclusion unit may include: a first process of adding genetic data inferred through inclusion by using correlation information between genetic information in individual omics with respect to partial omics information produced for omics; a second process of re-adding the genetic data deduced through inclusion using the correlation information between the genetic information in individual omics with respect to the partial omics information produced for omics and the genetic data added in the previous process; and a third process of repeatedly performing the second process.

The first inclusion unit may perform the inclusion by using all association information between the genetic information regardless of the position on the chromosome.

The association information between the genetic information in the individual omics may indicate a linkage imbalance between the genetic information in the omics.

The association information between the genetic information between the omics indicates a marker or genetic information showing a correlation between two or more omics, and eQTL (Single Nucleotide Polymorphism) on DNA that shows association with the expression of a gene (eQTL ( expresson Quantitative Trait Loci) and mQTL (methylation quantitative trait loci), which are SNPs on DNA that are correlated with the DNA methylation pattern of the exogenous genome.

The third inclusion unit may check a distribution of genetic information of a population from reference standard data for each omics, and may perform additional inclusion by measuring likelihood.

The third inclusion unit performs additional inclusion by utilizing information on sequencing depth and variation between samples having hierarchical kinship with each other when there are a large number of test samples falling within a preset kinship range. can

According to the apparatus and method for expanding and producing all omics information by using some omics information according to the present invention, a series of reference standard data for each omics, correlation information within individual omics, and correlation information between omics are used. Reduction of resources (costs, etc.) required to produce total omics information by using some omics information that is expanded from partial omics information to full omics information through the inclusion process to expand production to full omics information can do.

In addition, it is possible to expand production from a small amount of omics information to full omics information by using information on the genetic similarity of samples having close kinship relationships, such as families, and reduce decoding costs.

1 is a block diagram for explaining an apparatus for expanding and producing all omics information by utilizing some omics information according to a preferred embodiment of the present invention.
2 is a diagram for explaining a process of expanding and producing all omics information from some omics information according to a preferred embodiment of the present invention.
3 is a flowchart for explaining a method of expanding production to all omics information by using some omics information according to a preferred embodiment of the present invention.

Hereinafter, a preferred embodiment of an apparatus and method for expanding and producing all omics information by utilizing some omics information according to the present invention will be described in detail with reference to the accompanying drawings.

First, with reference to FIGS. 1 and 2 , an apparatus for expanding and producing all omics information by using some omics information according to a preferred embodiment of the present invention will be described.

1 is a block diagram illustrating an apparatus for expanding and producing all omics information by utilizing some omics information according to a preferred embodiment of the present invention, and FIG. 2 is a partial omics information according to a preferred embodiment of the present invention. It is a diagram to explain the process of expanding and producing all omics information from

Referring to FIG. 1 , a device (hereinafter referred to as an 'extended production device') 100 that expands and produces all omics information by utilizing some omics information according to a preferred embodiment of the present invention is reference standard data for each omics. , from partial omics information of one or a set of samples through a series of inclusion processes using correlation information within individual omics and correlation information between omics, to total omics for one sample or a set of samples. Expand production with information.

To this end, the extended production apparatus 100 includes a storage unit 110 , an analysis unit 120 , a production unit 130 , a first inclusion unit 140 , a second inclusion unit 150 , and a third inclusion unit 160 . may include.

The storage unit 110 serves to store programs and data necessary for the operation of the enlarged production apparatus 100 , and may be divided into a program area and a data area.

The program area includes a program for controlling the overall operation of the enlarged production apparatus 100, an operating system (OS) for booting the enlarged production apparatus 100, collection of reference standard data for each omics, and genetic information in individual omics. Acquisition of related information between related information and genetic information between omics, partial production of omics information, performing imputation using correlation information between genetic information within individual omics, and using information related to genetic information between omics It is possible to store an application program required for the operation of the expanded production apparatus 100, such as performing the calculation, the calculation using the reference standard data, and the like.

The data area is an area in which data generated according to the use of the expanded production apparatus 100 is stored, and reference standard data for each omics, association information between genetic information in individual omics, association information between genetic information between omics, and partial It is possible to store omics information, total omics information, and the like.

The analysis unit 120 collects reference standard data for each omics, as in the first block P1 shown in FIG. 2 . Here, omics are genome (genome, genome), transcriptome, exogenous (epigenome, epigenome), long distance genetic mapping data, proteome, metabolite, environment. say etc. For example, in the case of genome, data such as Korean standard variant (KoVariome) and reference data of 1,000 genome project can be utilized. In addition, the analysis unit 120 may store the collected reference standard data for each omics in the storage unit 110 .

In addition, the analysis unit 120 obtains association information between genetic information between genetic information in individual omics and association information between genetic information between omics, as in the second block P2 and third block P3 shown in FIG. 2 . do. In addition, the analysis unit 120 may store the obtained association information between the genetic information in the individual omics and the association information between the genetic information between the omics in the storage unit 110 .

Here, the linkage information between the genetic information in individual omics may indicate a linkage disequilibrium between the genetic information in the omics. Further, the association information between genetic information between omics indicates a marker or genetic information showing association between two or more omics, and may be an expressionon quantitative trait loci (eQTL), a methylation quantitative trait loci (mQTL), or the like. eQTL refers to SNP (Single Nucleotide Polymorphism) on DNA that is correlated with gene expression, and mQTL refers to SNP on DNA that shows correlation with the DNA methylation pattern of the exogenous genome.

The production unit 130 generates partial omics information for each of the plurality of omics. That is, the production unit 130 may produce a small amount of genetic information for each omics through a previously disclosed experimental method. For example, as in the fourth block P4 shown in FIG. 2 , a method for decoding only a target region, a low pass sequencing (LPS) method, a chip method, etc. is used at a low cost. It can produce a small amount, that is, partial genetic information. Here, as the experimental method used for the production of a small amount of genetic information (partial genetic information), various previously disclosed experimental methods may be applied, and it is not limited to a specific experimental method.

The first inclusion unit 140 is configured to repeat the iterative process for each of the plurality of omics by using the association information between genetic information in each omics that has been previously established with respect to the partial omics information produced for each of the plurality of omics. perform inclusion. Here, the inclusion method may be an existing statistical method, an artificial intelligence algorithm, or the like, and is not limited to a specific inclusion method.

That is, the first inclusion unit 140 may perform a process including the following first process, second process, and third process.

Step 1: Add genetic data inferred through inclusion using the linkage information between genetic information in individual omics with the partial omics information produced for omics

Second process: For partial omics information produced for omics and genetic data added in the previous process, genetic data deduced through inclusion using the linkage information between genetic information in individual omics is added again

3rd process: Repeat the 2nd process

In this case, the first inclusion unit 140 may perform the inclusion by using all association information between the genetic information regardless of the position on the chromosome. Even if the position on the chromosome is not close, in the present invention, the position on the chromosome is located close to each other in the folding process at the chromatin level, or because they can interact with each other in a trans regulation manner. Inclusion is performed using all related information between genetic information regardless of Contrary to this, the existing DNA sequence inclusion method is limited to the case where the position on the chromosome is close to performing the inclusion.

In other words, the first inclusion unit 140 converts omics data having a low linkage disequilibrium relationship (ie, a high analyzed association) in a corresponding omics (eg, in the case of a genome, within the genomic omics data). An iterative process of counting can be performed.

For example, as in the fifth block P5 shown in FIG. 2 , the inclusion of the third blank data (white circle) is performed based on the second data (black circle) in the upper first row, and the fifth data (black circle) ), the inclusion of the 4th bin data (white circle) and the 6th bin data (white circle) may be performed. And, in the next counting process, the 7th blank data (white circle) in the middle second row may be counted based on the 6th data counted in the previous counting process. It is possible to fill in the missing data (3rd, 4th, 6th blank data, etc.) through a series of iterative inclusion processes. However, as in the fifth block P5 shown in FIG. 2 , data included in adjacent positions is simply described to help the understanding of the invention, and in the present invention, association information of all combinations is utilized regardless of the position on the chromosome. so that inclusion can be performed. Even if the position on the chromosome is not close, it is located close to each other in the folding process at the chromatin level, or because they can interact with each other in a trans regulation manner, The inclusion procedure can be repeatedly and continuously performed based on the relevance of That is, regardless of a position on a chromosome, inclusion may be performed based on correlation information between data.

The second inclusion unit 150 performs additional inclusion by using previously established association information between genetic information between omics for a result obtained through repeated inclusion using association information between genetic information in individual omics. carry out

That is, the second inclusion unit 150 may perform additional inclusion by using the genetic information association information between the omics for regions that are not produced and inferred through repeated inclusion by the first inclusion unit 140 .

For example, as in the sixth block P6 shown in FIG. 2 , empty data may be filled by using genetic information correlation between different types of omics (genome and exogenous genome). That is, it is a process of additionally filling in an unfilled region of a DNA sequence based on correlation/correlation information between other omics data (eg, through RNA expreesion information and DNA methylation information).

The third inclusion unit 160 performs additional inclusion by using pre-established reference standard data for each omics with respect to a result obtained through additional inclusion using correlation information between genetic information between omics.

That is, the third inclusion unit 160 may check the distribution of genetic information of the population from the reference standard data for each omics, measure the likelihood, and perform additional inclusion.

For example, like the seventh block P7 shown in FIG. 2 , the third inclusion unit 160 is also included through repeated inclusion by the first inclusion unit 140 and additional inclusion by the second inclusion unit 150 . Areas where production and inference are not made can be filled in with the remaining parts by using reference standard data for each omics (eg, standard genome data, etc.). That is, the genetic information distribution (polymorphism, etc.) of the population is checked using the reference standard data, the likelihood is measured, etc. , you can fill in the blank data. In other words, the information with the highest probability of existence is filled out as it is from the reference standard data.

At this time, the third inclusion unit 160 is a hierarchical kinship relationship (parent and child, etc.) when a plurality of test samples belonging to a preset kinship range (eg, parent-child relationship, immediate family, twin relationship, etc.) exist. Additional counting may be performed by using information on sequencing depth and variation between samples with .

More specifically, when using the genetic information of a group, when trying to decode the genome information of the entire family, if the entire genome is decoded from the sample of each individual family member, the overall decoding cost can be very high. At this time, when using the genetic similarity (omics information matching each other) between samples having a hierarchical relationship (parent and child, etc.) as in the present invention, the amount of decoding between parent and child is reduced by 1/3 or more. Even in this case, it is possible to obtain full omics information including the genome. In other words, if the genetically common part of the parent's genome and the mutated part are passed on to the offspring with little error, omics information on the same level as the full-length genome can be easily produced even through some omics (genomic) information. . Therefore, if additional inclusion is performed in parallel with the reference standard data for each omics, very accurate omics information for the entire family can be produced at very low cost.

Then, with reference to FIG. 3 , a method of expanding and producing all omics information by using some omics information according to a preferred embodiment of the present invention will be described.

3 is a flowchart for explaining a method of expanding production to all omics information by using some omics information according to a preferred embodiment of the present invention.

Referring to FIG. 3 , the enlarged production apparatus 100 collects reference standard data for each omics ( S110 ). The expanded production apparatus 100 may store the collected reference standard data for each omics in the expanded production apparatus 100 .

Here, omics are genome (genome, genome), transcriptome, exogenous (epigenome, epigenome), long distance genetic mapping data, proteome, metabolite, environment. say etc.

Then, the extended production apparatus 100 acquires the association information between the genetic information between the genetic information in each omics and the association information between the genetic information between the omics ( S120 ). The extended production apparatus 100 may store the obtained association information between the genetic information in the individual omics and the association information between the genetic information between the omics in the enlarged production apparatus 100 .

Here, the linkage information between the genetic information in individual omics may indicate a linkage disequilibrium between the genetic information in the omics. Further, the association information between genetic information between omics indicates a marker or genetic information showing association between two or more omics, and may be an expressionon quantitative trait loci (eQTL), a methylation quantitative trait loci (mQTL), or the like.

Thereafter, the enlarged production apparatus 100 generates partial omics information for each of the plurality of omics ( S130 ). For example, a small amount, i.e., partial genetic information, is transferred to each of a plurality of omics at a low cost through a targeted sequencing method, a low pass sequencing (LPS) method, or a chip method. can be produced for

Then, the expanded production apparatus 100 applies the partial omics information produced for each of the plurality of omics to each of the plurality of omics by using the association information between genetic information in the previously constructed individual omics. Repeated inclusion is performed (S140).

That is, the expansion production apparatus 100 targets the partial omics information produced for omics, a first process of adding genetic data inferred through inclusion using correlation information between genetic information in individual omics, omics The second process and the second process of adding the genetic data inferred through inclusion using the linkage information between the genetic information in individual omics with the partial omics information produced for the omics and the genetic data added in the previous process A process consisting of a third process that is repeatedly performed may be performed.

In this case, the expansion production apparatus 100 may perform the inclusion by using all association information between the genetic information regardless of the position on the chromosome.

In addition, the expansion production apparatus 100 targets a result obtained through repeated inclusion using the correlation information between the genetic information in individual omics, and uses the correlation information between the genetic information between the established omics for additional inclusion. to perform (S150).

That is, the expanded production apparatus 100 may perform additional inclusion by using the genetic information association information between the omics for the region that is not produced and inferred through the repeated inclusion step using the association information between the genetic information in the individual omics.

In addition, the expansion production apparatus 100 performs additional inclusion by using the reference standard data for each omics that has been established for the result obtained through additional inclusion using the linkage information between the genetic information between the omics ( S160).

That is, the extended production apparatus 100 may check the distribution of genetic information of the population from the reference standard data for each omics, measure the likelihood, and perform additional inclusion. In other words, the expanded production device 100 is a region that is not produced and inferred even through the repeated inclusion step using the linkage information between the genetic information in individual omics and the additional inclusion step using the linkage information between the genetic information between the omics. The remaining part can be filled by using the reference standard data for each omics.

In this case, when there are a plurality of test samples belonging to the preset kinship range, the extended production apparatus 100 uses information about the sequencing depth and variation between samples having hierarchical kinship with each other to be additionally included. can also be performed.

The expanded production apparatus 100 according to the present invention provides the above "repetitive inclusion step using the linkage information between the genetic information in individual omics" -> "Additional inclusion step using the linkage information between the genetic information between the omics" -> Through a series of inclusion steps consisting of "additional inclusion steps using reference standard data for each omics", it is possible to expand production from partial omics information to full omics information.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which computer-readable data is stored. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Although preferred embodiments of the present invention have been described in detail above, the present invention is not limited to the specific preferred embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention as claimed in the following claims Anyone with ordinary skill in the art can make various modifications, of course, such changes are within the scope of the claims.

100: enlarged production device,
110: storage unit, 120: analysis unit,
130: production part, 140: first inclusion part,
150: second inclusion part, 160: third inclusion part

Claims (14)

producing partial omics information for each of a plurality of omics by a production unit of an apparatus that expands and produces full omics information by utilizing partial omics information;
With respect to partial omics information produced for each of the plurality of omics by the first inclusion unit of the device, association information between genetic information in each omics that has been established is used for each of the plurality of omics performing iterative inclusion;
By the second inclusion unit of the device, the result obtained through repeated inclusion using the correlation information between genetic information in individual omics is used, performing inclusion; and
By the third inclusion unit of the device, additional inclusion is performed using pre-established reference standard data for each omics with respect to a result obtained through additional inclusion using correlation information between genetic information between omics. step;
How to expand production to full omics information by utilizing some omics information including In claim 1,
Performing the iterative inclusion by the first inclusion unit of the device comprises:
a first process of adding genetic data inferred through inclusion using correlation information between genetic information in individual omics with respect to partial omics information produced for omics;
a second process of re-adding the genetic data deduced through inclusion using the correlation information between the genetic information in individual omics with respect to the partial omics information produced for omics and the genetic data added in the previous process; and
a third process of repeatedly performing the second process;
consisting of,
How to expand production to full omics information by utilizing some omics information. In claim 1,
Performing the iterative inclusion by the first inclusion unit of the device comprises:
It consists of performing inclusion using all association information between genetic information regardless of the position on the chromosome,
How to expand production to full omics information by utilizing some omics information. In claim 1,
The association information between the genetic information in the individual omics is,
Representing the linkage disequilibrium relationship between genetic information in omics,
How to expand production to full omics information by utilizing some omics information. In claim 1,
The association information between the genetic information between the omics is,
Represents a marker or genetic information that shows a correlation between two or more omics,
Expressionon Quantitative Trait Loci (eQTL), a SNP (Single Nucleotide Polymorphism) on DNA that is correlated with gene expression, and mQTL (methylation Quantitative Trait) (methylation Quantitative Trait), a SNP on DNA that is correlated with the DNA methylation pattern of the exogenous genome Loci), one of
How to expand production to full omics information by utilizing some omics information. In claim 1,
performing additional inclusion using the reference standard data for each omics by the third inclusion unit of the device,
Consists of confirming the distribution of genetic information in the population from the reference standard data for each omics and performing additional inclusion by measuring the likelihood,
How to expand production to full omics information by utilizing some omics information. In claim 1,
performing additional inclusion using the reference standard data for each omics by the third inclusion unit of the device,
When there are a large number of test samples that fall within a preset kinship range, additional inclusion is performed by utilizing information on sequencing depth and variation between samples having hierarchical kinship with each other.
How to expand production to full omics information by utilizing some omics information. a production unit generating partial omics information for each of the plurality of omics;
A first inclusion unit that repeatedly performs inclusion for each of the plurality of omics by using information related to the genetic information in each omics that has been previously established with respect to the partial omics information produced for each of the plurality of omics. ;
a second inclusion unit for performing additional inclusion by using previously-established association information between genetic information between omics for a result obtained through repeated inclusion using correlation information between genetic information in individual omics; and
a third inclusion unit for performing additional inclusion by using pre-established reference standard data for each omics with respect to a result obtained through additional inclusion using correlation information between genetic information between omics;
A device that expands production to full omics information by utilizing some omics information including In claim 8,
The first inclusion part,
a first process of adding genetic data inferred through inclusion using correlation information between genetic information in individual omics with respect to partial omics information produced for omics;
a second process of re-adding the genetic data deduced through inclusion using the correlation information between the genetic information in individual omics with respect to the partial omics information produced for omics and the genetic data added in the previous process; and
a third process of repeatedly performing the second process;
performing a process consisting of
A device that utilizes some omics information to expand production to full omics information. In claim 8,
The first inclusion part,
Counting is performed using all association information between genetic information regardless of the position on the chromosome,
A device that utilizes some omics information to expand production to full omics information. In claim 8,
The association information between the genetic information in the individual omics is,
Representing the linkage disequilibrium relationship between genetic information in omics,
A device that utilizes some omics information to expand production to full omics information. In claim 8,
The association information between the genetic information between the omics is,
Represents a marker or genetic information that shows a correlation between two or more omics,
Expressionon Quantitative Trait Loci (eQTL), a SNP (Single Nucleotide Polymorphism) on DNA that is correlated with gene expression, and mQTL (methylation Quantitative Trait) (methylation Quantitative Trait), a SNP on DNA that is correlated with the DNA methylation pattern of the exogenous genome Loci), one of
A device that utilizes some omics information to expand production to full omics information. In claim 8,
The third inclusion part,
Confirming the distribution of genetic information in the population from the reference standard data for each omics, measuring the likelihood, and performing additional inclusion;
A device that utilizes some omics information to expand production to full omics information. In claim 8,
The third inclusion part,
When there are a large number of test samples that fall within a preset kinship range, additional inclusion is performed using information on sequencing depth and variation between samples having hierarchical kinship with each other.
A device that utilizes some omics information to expand production to full omics information.

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