CN106960133A - A kind of disease forecasting method and device - Google Patents
A kind of disease forecasting method and device Download PDFInfo
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Abstract
The invention provides a kind of disease forecasting method and device, wherein, this method includes：After the disease forecasting request of terminal transmission is received, the gene sequencing result of user to be predicted is obtained, the mark of disease to be predicted is carried in above-mentioned disease forecasting request；According to gene sequencing result, the variant sites information of user to be predicted is determined；Calculate the incidence rate of probability of happening of the variant sites in sick people to be predicted, the probability of happening in random crowd and disease to be predicted；According to the incidence rate of probability of happening of the variant sites in sick people to be predicted, the probability of happening in random crowd and disease to be predicted, predict that user to be predicted suffers from the probability of disease to be predicted, and the probability is sent to terminal.In the present invention, the probability that user suffers from disease to be predicted can be obtained, is predicted the outcome as specific probable value, referential is larger, also, avoided and use manual type, accuracy and efficiency is higher.
Description
Technical field
The present invention relates to biological information and communication technical field, in particular to a kind of disease forecasting method and device.
Background technology
It is prominent that genetic mutation refers to that genomic deoxyribonucleic acid (Deoxyribonucleic acid, DNA) molecule occurs
Right heritable variation.It has now been found that, tumour, hypertension, coronary heart disease, diabetes, angiocardiopathy and bone nerve
The morbidity of the common multiple disease such as disease is related all to the genetic mutation of patient.This kind of disease is related to two or more base
The structure of cause or the change of expression regulation.
Based on above-mentioned discovery, people have started to be predicted the morbidity of disease according to genetic mutation, still, prior art
In, when carrying out disease forecasting, document or database are typically all searched by manual type, to determine to the disease meeting
The variant sites of adverse effect are produced, and according to the gene sequencing result of patient, to predict whether patient may suffer from above-mentioned disease
Disease.
But, in the prior art when carrying out disease forecasting, searched using manual type and adverse effect is produced to the disease
Variant sites, efficiency and accuracy be very low, and prior art can only predict variant sites that patient carries are whether
Patient be may result in some diseases, can only draw and qualitatively predict the outcome, referential is poor.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of disease forecasting method and device, to solve or
Attempt to alleviate above-mentioned technical problem.
In a first aspect, the embodiments of the invention provide a kind of disease forecasting method, wherein, methods described includes：
After the disease forecasting request of terminal transmission is received, the gene sequencing result of user to be predicted, the disease are obtained
The mark of disease to be predicted is carried in disease forecasting request；
According to the gene sequencing result, the variant sites information of the user to be predicted is determined；
Determine probability of happening of the variant sites in the sick people to be predicted, the variant sites in random people
The incidence rate of probability of happening and the disease to be predicted in group；
According to probability of happening of the variant sites in the sick people to be predicted, the variant sites in random people
The incidence rate of probability of happening and the disease to be predicted in group, predicts that the user to be predicted suffers from the disease to be predicted
Probability, and the user to be predicted is sent to the terminal with the probability of the disease to be predicted.
With reference in a first aspect, the embodiments of the invention provide the possible implementation of the first of above-mentioned first aspect, its
In, it is described according to the gene sequencing result, the variant sites information of the user to be predicted is determined, including：
The gene sequencing result and reference gene group are compared, comparison result is obtained；
According to the comparison result, the genetic mutation information of the user is determined.
With reference in a first aspect, the embodiments of the invention provide the possible implementation of second of above-mentioned first aspect, its
In, the probability of happening for determining the variant sites in the sick people to be predicted, including：
Crowd's quantity that the disease to be predicted is suffered from the database that pre-establishes is counted, and described is treated with described
Crowd's quantity of the variant sites is carried in the crowd of predictive disease；
Calculating carries variant sites crowd's quantity in the crowd with the disease to be predicted is suffered from described
First ratio of crowd's quantity of the disease to be predicted；
First ratio is defined as probability of happening of the variant sites in the sick people to be predicted.
With reference in a first aspect, the embodiments of the invention provide the possible implementation of the third of above-mentioned first aspect, its
In, the probability of happening according to the variant sites in the sick people to be predicted, the variant sites are in random people
The incidence rate of probability of happening and the disease to be predicted in group, predicts that the user to be predicted suffers from the disease to be predicted
Probability, including：
Calculate the hair of probability of happening of the variant sites in the sick people to be predicted and the disease to be predicted
The product of sick probability；
The second ratio of the product and probability of happening of the variant sites in random crowd is calculated, by described second
Ratio is defined as the probability that the user to be predicted suffers from the disease to be predicted.
With reference in a first aspect, the embodiments of the invention provide the possible implementation of the 4th of above-mentioned first aspect kind, its
In, described that probability of the user to be predicted with the disease to be predicted is sent to after the terminal, methods described is also
Including：
The suggestion acquisition request of user's transmission to be predicted is received, it is described to advise that acquisition treats pre- described in being carried in asking
Survey the probability that user suffers from the disease to be predicted；
Obtain and treated with the user to be predicted with described from the third-party server associated with the disease to be predicted
The corresponding advisory information of probability of predictive disease；
The advisory information is sent to the terminal.
Second aspect, the embodiments of the invention provide a kind of disease forecasting device, wherein, described device includes：
First acquisition module, for after the disease forecasting request of terminal transmission is received, obtaining the base of user to be predicted
Because of sequencing result, the mark of disease to be predicted is carried in the disease forecasting request；
First determining module, for according to the gene sequencing result, determining the variant sites letter of the user to be predicted
Breath；
Second determining module, for determining probability of happening of the variant sites in the sick people to be predicted, institute
State the incidence rate of probability of happening and the to be predicted disease of the variant sites in random crowd；
Prediction module, for according to probability of happening of the variant sites in the sick people to be predicted, the change
The incidence rate of probability of happening and the to be predicted disease of the ectopic sites in random crowd, predicts that the user to be predicted suffers from
The probability of the disease to be predicted；
Sending module, for probability of the user to be predicted with the disease to be predicted to be sent into the terminal.
With reference to second aspect, the embodiments of the invention provide the possible implementation of the first of above-mentioned second aspect, its
In, first determining module includes：
Comparing unit, for the gene sequencing result and reference gene group to be compared, obtains comparison result；
First determining unit, for according to the comparison result, determining the genetic mutation information of the user.
With reference to second aspect, the embodiments of the invention provide the possible implementation of second of above-mentioned second aspect, its
In, second determining module includes：
Statistic unit, crowd's quantity of the disease to be predicted is suffered from for counting in the database pre-established, and
Crowd's quantity of the variant sites is carried in the crowd with the disease to be predicted；
First computing unit, the people of the variant sites is carried for calculating in the crowd with the disease to be predicted
First ratio of group's quantity and crowd's quantity with the disease to be predicted；
Second determining unit, for first ratio to be defined as into the variant sites in the sick people to be predicted
In probability of happening.
With reference to second aspect, the embodiments of the invention provide the possible implementation of the third of above-mentioned second aspect, its
In, the prediction module includes：
Second computing unit, for calculating probability of happening and institute of the variant sites in the sick people to be predicted
State the product of the incidence rate of disease to be predicted；
3rd computing unit, for calculating the product and probability of happening of the variant sites in random crowd
Two ratios, the probability that the user to be predicted suffers from the disease to be predicted is defined as by second ratio.
With reference to second aspect, the embodiments of the invention provide the possible implementation of the 4th of above-mentioned second aspect kind, its
In, described device also includes：
Receiver module, obtains request, the suggestion is obtained in request for receiving the suggestion that the user to be predicted sends
Carry the probability that the user to be predicted suffers from the disease to be predicted；
Second acquisition module, treats pre- for being obtained from the third-party server associated with the disease to be predicted with described
Survey the corresponding advisory information of probability that user suffers from the disease to be predicted；
The sending module, is additionally operable to the advisory information being sent to the terminal.
In disease forecasting method and device provided in an embodiment of the present invention, user can be obtained and suffer from disease to be predicted
Probability, predicts the outcome as specific probable value, and referential is larger, also, avoids and use manual type, and accuracy and efficiency is equal
It is higher.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 shows the flow chart for the disease forecasting method that the embodiment of the present invention is provided；
Fig. 2 shows in the disease forecasting method that the embodiment of the present invention is provided that definitive variation site is in disease to be predicted
The flow chart of probability of happening in crowd；
Fig. 3 is shown in the disease forecasting method that the embodiment of the present invention is provided, and predicts user to be predicted with to be predicted
The probability of disease；
Fig. 4 shows the structural representation for the disease forecasting device that the embodiment of the present invention is provided.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
Middle accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
It is a part of embodiment of the invention, rather than whole embodiments.The present invention generally here described and illustrated in accompanying drawing is real
Applying the component of example can be arranged and be designed with a variety of configurations.Therefore, it is of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the scope of claimed invention, but is merely representative of the selected reality of the present invention
Apply example.Based on embodiments of the invention, the institute that those skilled in the art are obtained on the premise of creative work is not made
There is other embodiment, belong to the scope of protection of the invention.
In view of when carrying out disease forecasting, being mostly to search to have the disease using manual type in the prior art
The variant sites of evil influence, efficiency and accuracy are very low, and prior art can only predict the change dystopy that patient carries
Whether point may result in patient with some diseases, can only draw and qualitatively predict the outcome, referential is poor.Based on this,
Inventive embodiments provide a kind of disease forecasting method and device, are described below by embodiment.
With reference to shown in Fig. 1, the embodiments of the invention provide a kind of disease forecasting method, the method comprising the steps of S110-
S140, it is specific as follows：
S110：After the disease forecasting request of terminal transmission is received, the gene sequencing result of user to be predicted is obtained, on
State the mark that disease to be predicted is carried in disease forecasting request；
S120：According to said gene sequencing result, the variant sites information of user to be predicted is determined；
S130：Determine probability of happening of the above-mentioned variant sites in sick people to be predicted, above-mentioned variant sites random
The incidence rate of probability of happening and disease to be predicted in crowd；
S140：According to probability of happening of the above-mentioned variant sites in sick people to be predicted, above-mentioned variant sites random
The incidence rate of probability of happening and disease to be predicted in crowd, predicts that user to be predicted suffers from the probability of disease to be predicted, and
Probability of the user to be predicted with disease to be predicted is sent to terminal.
The executive agent of method provided in an embodiment of the present invention is server.
Above-mentioned terminal can be computer, mobile phone or panel computer etc..
In embodiments of the present invention, when medical personnel needs to be predicted probability of the user with certain disease,
Need that disease forecasting request is sent into server by terminal.
In step s 110, the mark of disease to be predicted and user to be predicted are carried in the request of above-mentioned disease forecasting
Personal information, the personal information includes the information such as name, sex, the identification card number of user.
The mark of above-mentioned disease to be predicted can be the title of disease to be predicted, such as, liver cancer, coronary heart disease, diabetes
Deng.
Wherein, said gene sequencing result includes multiple gene orders.
In step s 110, the gene sequencing result of user to be predicted, including the following two kinds situation are obtained：
The first situation,
Be stored with the gene sequencing result of user to be predicted in the server, is searched according to the personal information of user to be predicted
The gene sequencing result of user to be predicted.
Second of situation,
Connection is set up between server and gene sequencing device, the gene of user to be predicted is obtained from gene sequencing device
Sequencing result, specifically, can be searched and user to be predicted from gene sequencing device according to the personal information of user to be predicted
The corresponding gene sequencing result of personal information.
Said gene sequencing device can be gene sequencer.
In the step s 120, specifically the change of user to be predicted can be determined by following steps according to gene sequencing result
Ectopic sites information：
Said gene sequencing result is compared with reference gene group, comparison result is obtained；According to comparison result, it is determined that
The variant sites information of user to be predicted.
After the gene sequencing result of user is got, said gene sequencing result is simply handled first, had
Body includes removing the joint sequence of gene order and low-quality reading in said gene sequencing result, obtains a series of gene
Short sequence, the short sequence of gene obtained above and reference gene group are compared, and determine the short sequence of said gene in gene
Position in group, by the short sequence assembling of said gene into complete human genome；Wherein, it is above-mentioned by short sequence and reference gene
Group, which is compared, to be realized by BWA (Burrows-Wheeler Alignment tool, biological sequence contrast instrument) software
's.
After complete human genome is assembled into, the gene in above-mentioned human genome is adjusted using Samtools softwares
The sequence of short sequence, and Data Format Transform is carried out, Sam forms that will be original are converted into bam files.
Next, the redundancy and noise in data obtained above are removed using Picard softwares.
Afterwards, above-mentioned data and the difference of reference sequences are found in above-mentioned data using GATK softwares, finally, to above-mentioned
Variant sites information is annotated, and generation includes the starting physical bit of chromosome, variation on the chromosome where variation
Including the list for terminating physical location, reference sequences information and the sequence information observed put, made a variation on the chromosome
Variant sites information.
Therefore, above-mentioned variant sites information includes the position of chromosome and variation on chromosome where variation, the position
Put the termination physical location of starting physical location and variation on chromosome including variation on chromosome.
In step s 130, probability of happening of the definitive variation site in sick people to be predicted, is by step S210-
What S230 was realized, it is specific as follows with reference to shown in Fig. 2：
S210, counts crowd's quantity that disease to be predicted is suffered from the database pre-established, and with disease to be predicted
Crowd's quantity of variant sites is carried in the crowd of disease；
S220, calculates crowd's quantity that variant sites are carried in the crowd with disease to be predicted with suffering from disease to be predicted
First ratio of crowd's quantity of disease；
S230, probability of happening of the variant sites in sick people to be predicted is defined as by above-mentioned first ratio.
In embodiments of the present invention, above-mentioned database is pre-established, and is set up especially by following steps：Collect and suffer from
There are the personal essential information and gene sequencing result of the patient of same disease, and the gene sequencing result of above-mentioned patient is converted into
The variant sites information of patient, the variant sites information of the above-mentioned patient with same disease and personal essential information are stored in
In subdata；Set up in multiple subdata bases, each subdata base and be stored with a certain disease using same method
The personal essential information and genetic mutation information of patient；
In addition, in addition it is also necessary to collect the personal essential information and gene sequencing result of random crowd, and by the base of random crowd
Because sequencing result is converted into variant sites information, the personal essential information and variant sites information Store of above-mentioned random crowd are existed
In another subdata base, multiple subdata bases can be so obtained, above-mentioned multiple subdata bases constitute above-mentioned database.
The letters such as the name of the personal information of above-mentioned patient including patient, sex, age, ID card No., the disease that suffers from
Breath.
Such as, the variant sites that above-mentioned user to be predicted carries are designated as A, then in above-mentioned steps S210, count above-mentioned
Crowd's quantity of the patient with above-mentioned disease to be predicted, is designated as m in database1, and carry variant sites A crowd's number
Amount, is designated as m2, above-mentioned first ratio is calculated by equation below：
Wherein, what P (variant sites A | disease to be predicted) represented in above-mentioned formula is variant sites A in disease to be predicted
Probability of happening in crowd.
Probability of happening of the above-mentioned variant sites in random crowd, is calculated by following process：
Equally, such as, the variant sites that above-mentioned user to be predicted carries are designated as A, count in the database pre-established
The quantity of random crowd, is designated as n1, the data for the random crowd that variant sites A is carried in the database pre-established are counted,
It is designated as n2, then probability of happening of the above-mentioned variant sites A in random crowd is calculated by equation below：
Wherein, in above-mentioned formula, what P (variant sites A) was represented is the variant sites of user to be predicted in random crowd
In probability of happening.
The incidence of disease of above-mentioned disease to be predicted refers to the incidence of disease of the disease to be predicted in crowd, and concrete numerical value can be from
Obtained in some disease research documents or report.
In above-mentioned steps S140, then according to probability of happening of the variant sites in crowd to be predicted, variant sites with
The incidence rate of probability of happening and disease to be predicted in machine crowd, predicts that user to be predicted suffers from the probability of disease to be predicted,
With reference to shown in Fig. 3, including step S310-S320, it is specific as follows：
S310, calculates probability of happening of the above-mentioned variant sites in sick people to be predicted and the incidence of disease of disease to be predicted
Product；
S320, calculates above-mentioned product and the second ratio of probability of happening of the above-mentioned variant sites in random crowd, will be upper
State the second ratio and be defined as the probability that user to be predicted suffers from above-mentioned disease to be predicted.
In embodiments of the present invention, the variant sites information of user to be predicted includes the following two kinds situation：
The first situation,
The variant sites information of user to be predicted only includes the information of a variant sites, such as, only include change dystopy
Point A information, then calculate the probability that user to be predicted suffers from disease to be predicted by equation below：
Wherein, in above-mentioned formula, and P (disease to be predicted | variant sites A) represent to carry the to be predicted of variant sites A
User suffers from the probability of disease to be predicted, and what P (variant sites A | disease to be predicted) was represented is variant sites A in disease to be predicted
Probability of happening in crowd, what P (disease to be predicted) was represented is the incidence rate of disease to be predicted, what P (variant sites A) was represented
It is incidence rates of the variant sites A in random crowd.
Second of situation,
The variant sites information of user to be predicted includes the information of two or more variant sites, by user to be predicted
Variant sites be designated as variant sites 1, variant sites 2 ... variant sites N, N=1,2,3,4 ..., then calculated by equation below
User to be predicted suffers from the probability of disease to be predicted：
Wherein, in above-mentioned formula, and P (disease to be predicted | variant sites 1, variant sites 2... variant sites N) represent to take
User to be predicted with variant sites 1, variant sites 2 ... variant sites N suffers from the probability of disease to be predicted, P (variant sites
1, variant sites 2... variant sites N | disease to be predicted) represent variant sites 1, variant sites 2 ... variant sites N to be predicted
Probability of happening in sick people, what P (disease to be predicted) was represented is the incidence rate of disease to be predicted, and (variant sites 1 become P
Ectopic sites 2... variant sites N) what is represented is the morbidity of variant sites 1, variant sites 2 ... variant sites N in random crowd
Probability.
Specifically, in embodiments of the present invention, each variant sites is separate, and therefore, P (becomes dystopy
Point 1, variant sites 2... variant sites N | disease to be predicted) it can be calculated by equation below：
Wherein, what above-mentioned formula was represented is variant sites 1, variant sites 2 ... variant sites N in sick people to be predicted
Probability of happening be equal to probability of happening of the variant sites 1 in sick people to be predicted, variant sites 2 in sick people to be predicted
The product of middle probability of happening and probability of happening of the variant sites N in sick people to be predicted.
Specifically, in embodiments of the present invention, P (variant sites 1, variant sites 2... variant sites N) can be by such as
Lower formula is calculated and obtained：
Wherein, what above-mentioned formula was represented is the morbidity of variant sites 1, variant sites 2 ... variant sites N in random crowd
Probability is equal to incidence rate and variation of incidence rate, variant sites 2 of the variant sites 1 in random crowd in random crowd
The product of incidence rates of the site N in random crowd.
In embodiments of the present invention, when probability of the user to be predicted with disease to be predicted is sent to terminal, show
After user, user can also obtain corresponding suggestion, and detailed process includes：
The suggestion acquisition request that user to be predicted sends is received, carrying user to be predicted in suggestion acquisition request suffers from
The probability of disease to be predicted；Obtain to suffer from above-mentioned user to be predicted from the third-party server associated with disease to be predicted and treat
The corresponding advisory information of probability of predictive disease；Above-mentioned advisory information is sent to terminal.
Specifically, above-mentioned suggestion is obtained in request in addition to carrying probability of the user to be predicted with disease to be predicted,
The mark of terminal is also carried, the mark can be Internet protocol (Internet Protocol, IP) address of terminal, or
Person can also be account information of user to be predicted etc..
In embodiments of the present invention, after server receives the request of terminal transmission, it can be carried according in above-mentioned request
The mark of disease to be predicted be linked on the third-party server associated with disease to be predicted, such as, it is above-mentioned to be predicted
Disease is breast cancer, then can be linked on the website related to breast cancer, such as, it is linked to the comprehensive cancer net of US National
Stand and the advisory information of correlation is searched on (National Comprehensive Cancer Network, NCCN).
In embodiments of the present invention, first according to probability of the user to be predicted with disease to be predicted from third-party server
Obtain the advisory information corresponding with the probability, such as, if user to be predicted suffer from disease to be predicted probability be more than or
Equal to the first preset value, it can be determined that higher for probability of the user to be predicted with disease to be predicted, at this moment, it can obtain with being somebody's turn to do
The advisory information of probability correlation, the advisory information can be dietary recommendation, exercise suggestion or treatment recommendations etc., and will obtain
Advisory information be sent to terminal.
In addition to this it is possible to realize in the following way：Obtained and the disease to be predicted from third-party server first
Associated all advisory informations, afterwards, the probability of disease to be predicted are suffered from according to user to be predicted, from above-mentioned all recommendation letters
The advisory information matched with the probability of user to be predicted is filtered out in breath, and the advisory information is sent to terminal, is presented to
User to be predicted.
Disease forecasting method provided in an embodiment of the present invention, can obtain the probability that user suffers from disease to be predicted, prediction
As a result it is specific probable value, referential is larger, also, avoids and use manual type, accuracy and efficiency is higher.
With reference to shown in Fig. 4, the embodiments of the invention provide a kind of disease forecasting device, the device is used to perform the present invention in fact
The disease forecasting method of example offer is applied, the device can be server, including the first acquisition module 410, the first determining module
420th, the second determining module 430, prediction module 440 and sending module 450；
Above-mentioned first acquisition module 410, for after the disease forecasting request of terminal transmission is received, obtaining to be predicted use
The gene sequencing result at family, carries the mark of disease to be predicted in above-mentioned disease forecasting request；
Above-mentioned first determining module 420, for according to said gene sequencing result, determining the variation of above-mentioned user to be predicted
Site information；
Above-mentioned second determining module 430, for calculate probability of happening of the above-mentioned variant sites in sick people to be predicted,
The incidence rate of probability of happening and to be predicted disease of the above-mentioned variant sites in random crowd；
Above-mentioned prediction module 440, for according to probability of happening of the above-mentioned variant sites in sick people to be predicted, above-mentioned
The incidence rate of probability of happening and to be predicted disease of the variant sites in random crowd, predicts user to be predicted with to be predicted
The probability of disease；
Above-mentioned sending module 450, for probability of the above-mentioned user to be predicted with disease to be predicted to be sent into terminal.
Specifically, above-mentioned first determining module 420 determines the variant sites letter of user to be predicted according to gene sequencing result
Breath is realized by comparing unit and the first determining unit, is specifically included：
Above-mentioned comparing unit, for said gene sequencing result to be compared with reference gene group, obtains comparison result；
Above-mentioned first determining unit, for according to above-mentioned comparison result, determining the variant sites information of above-mentioned user to be predicted.
Wherein, as one embodiment, above-mentioned second determining module 430 determines above-mentioned variant sites in disease people to be predicted
Probability of happening in group is realized by statistic unit, the first computing unit and the second determining unit, is specifically included：
Above-mentioned statistic unit, crowd's quantity of disease to be predicted is suffered from for counting in the database pre-established, and
Crowd's quantity of above-mentioned variant sites is carried in crowd with disease to be predicted；Above-mentioned first computing unit, for calculating
Crowd's quantity of above-mentioned variant sites and the crowd with disease to be predicted are carried in crowd with above-mentioned disease to be predicted
First ratio of quantity；Above-mentioned second determining unit, for above-mentioned first ratio to be defined as into above-mentioned variant sites to be predicted
Probability of happening in sick people.
Specifically, above-mentioned prediction module 440 predicts that probability of the user to be predicted with disease to be predicted is by the second meter
Calculate what unit, the 3rd computing unit and the 3rd determining unit were realized, specifically include：
Above-mentioned second computing unit, for calculating probability of happening of the above-mentioned variant sites in sick people to be predicted with treating
The product of the incidence rate of predictive disease；Above-mentioned 3rd computing unit, for calculating above-mentioned product with variant sites in random people
Second ratio of the probability of happening in group；Above-mentioned 3rd determining unit, it is above-mentioned to be predicted for above-mentioned second ratio to be defined as
User suffers from the probability of disease to be predicted.
Wherein, as one embodiment, device provided in an embodiment of the present invention also includes receiver module and second and obtains mould
Block；
Above-mentioned receiver module, obtains request, above-mentioned suggestion is obtained please for receiving the suggestion that above-mentioned user to be predicted sends
The probability that user to be predicted suffers from disease to be predicted is carried in asking；Above-mentioned second acquisition module, for from disease to be predicted
Associated third-party server obtains advisory information corresponding with probability of the above-mentioned user to be predicted with disease to be predicted；On
Sending module is stated, is additionally operable to above-mentioned advisory information being sent to terminal.
Disease forecasting device provided in an embodiment of the present invention, can obtain the probability that user suffers from disease to be predicted, prediction
As a result it is specific probable value, referential is larger, also, avoids and use manual type, accuracy and efficiency is higher.
The disease forecasting device that the embodiment of the present invention is provided for the specific hardware in equipment or can be installed on equipment
On software or firmware etc..The technique effect of the device that the embodiment of the present invention is provided, its realization principle and generation and foregoing side
Method embodiment is identical, to briefly describe, and device embodiment part does not refer to part, refers in corresponding in preceding method embodiment
Hold.It is apparent to those skilled in the art that, for convenience and simplicity of description, system described above, device
With the specific work process of unit, the corresponding process in above method embodiment is may be referred to, be will not be repeated here.
, can be by others side in embodiment provided by the present invention, it should be understood that disclosed apparatus and method
Formula is realized.Device embodiment described above is only schematical, for example, the division of the unit, only one kind are patrolled
Collect function to divide, there can be other dividing mode when actually realizing, but for example, multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed each other
Coupling or direct-coupling or communication connection can be the INDIRECT COUPLING or communication link of device or unit by some communication interfaces
Connect, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in the embodiment that the present invention is provided can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units it is integrated in a unit.
If the function is realized using in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are make it that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each of the invention embodiment methods described.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined in individual accompanying drawing, then it further need not be defined and explained in subsequent accompanying drawing, in addition, term " the
One ", " second ", " the 3rd " etc. are only used for distinguishing description, and it is not intended that indicating or implying relative importance.
Finally it should be noted that：Embodiment described above, is only the embodiment of the present invention, to illustrate the present invention
Technical scheme, rather than its limitations, protection scope of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, it will be understood by those within the art that：Any one skilled in the art
The invention discloses technical scope in, it can still modify to the technical scheme described in previous embodiment or can be light
Change is readily conceivable that, or equivalent is carried out to which part technical characteristic；And these modifications, change or replacement, do not make
The essence of appropriate technical solution departs from the spirit and scope of embodiment of the present invention technical scheme.The protection in the present invention should all be covered
Within the scope of.Therefore, protection scope of the present invention described should be defined by scope of the claims.
Claims (10)
1. a kind of disease forecasting method, it is characterised in that methods described includes：
After the disease forecasting request of terminal transmission is received, the gene sequencing result of user to be predicted is obtained, the disease is pre-
Survey the mark that disease to be predicted is carried in request；
According to the gene sequencing result, the variant sites information of the user to be predicted is determined；
Determine probability of happening of the variant sites in the sick people to be predicted, the variant sites in random crowd
Probability of happening and the disease to be predicted incidence rate；
According to probability of happening of the variant sites in the sick people to be predicted, the variant sites in random crowd
Probability of happening and the disease to be predicted incidence rate, predict that the user to be predicted is general with the disease to be predicted
Rate, and probability of the user to be predicted with the disease to be predicted is sent to the terminal.
2. according to the method described in claim 1, it is characterised in that described according to the gene sequencing result, it is determined that described treat
The variant sites information of user is predicted, including：
The gene sequencing result and reference gene group are compared, comparison result is obtained；
According to the comparison result, the variant sites information of the user to be predicted is determined.
3. according to the method described in claim 1, it is characterised in that described to determine the variant sites in the disease to be predicted
Probability of happening in crowd, including：
Crowd's quantity that the disease to be predicted is suffered from the database pre-established is counted, and it is described with described to be predicted
Crowd's quantity of the variant sites is carried in the crowd of disease；
Crowd's quantity that the variant sites are carried in the crowd with the disease to be predicted is calculated with described with described
First ratio of crowd's quantity of disease to be predicted；
First ratio is defined as probability of happening of the variant sites in the sick people to be predicted.
4. according to the method described in claim 1, it is characterised in that it is described according to the variant sites in the disease to be predicted
The morbidity of the probability of happening and the disease to be predicted of probability of happening, the variant sites in random crowd in crowd is general
Rate, predicts that the user to be predicted suffers from the probability of the disease to be predicted, including：
Calculate probability of happening of the variant sites in the sick people to be predicted and the morbidity of the disease to be predicted is general
The product of rate；
The second ratio of the product and probability of happening of the variant sites in random crowd is calculated, by second ratio
It is defined as the probability that the user to be predicted suffers from the disease to be predicted.
5. according to the method described in claim 1, it is characterised in that described that the user to be predicted is suffered from into the disease to be predicted
The probability of disease is sent to after the terminal, and methods described also includes：
The suggestion acquisition request that the user to be predicted sends is received, the suggestion, which is obtained, carries the use to be predicted in request
Family suffers from the probability of the disease to be predicted；
Obtained from the third-party server associated with the disease to be predicted with the user to be predicted with described to be predicted
The corresponding advisory information of probability of disease；
The advisory information is sent to the terminal.
6. a kind of disease forecasting device, it is characterised in that described device includes：
First acquisition module, for after the disease forecasting request of terminal transmission is received, the gene for obtaining user to be predicted to be surveyed
Sequence result, carries the mark of disease to be predicted in the disease forecasting request；
First determining module, for according to the gene sequencing result, determining the variant sites information of the user to be predicted；
Second determining module, for determining probability of happening of the variant sites in the sick people to be predicted, the change
The incidence rate of probability of happening and the to be predicted disease of the ectopic sites in random crowd；
Prediction module, for according to probability of happening of the variant sites in the sick people to be predicted, in random crowd
In probability of happening and the disease to be predicted incidence rate, predict the user to be predicted with the disease to be predicted
Probability；
Sending module, for probability of the user to be predicted with the disease to be predicted to be sent into the terminal.
7. device according to claim 6, it is characterised in that first determining module includes：
Comparing unit, for the gene sequencing result and reference gene group to be compared, obtains comparison result；
First determining unit, for according to the comparison result, determining the genetic mutation information of the user.
8. device according to claim 6, it is characterised in that second determining module includes：
Statistic unit, crowd's quantity of the disease to be predicted is suffered from for counting in the database pre-established, and described
Crowd's quantity of the variant sites is carried in crowd with the disease to be predicted；
First computing unit, crowd's number of the variant sites is carried for calculating in the crowd with the disease to be predicted
First ratio of amount and crowd's quantity with the disease to be predicted；
Second determining unit, for first ratio to be defined as into the variant sites in the sick people to be predicted
Probability of happening.
9. device according to claim 6, it is characterised in that the prediction module includes：
Second computing unit, is treated for calculating probability of happening of the variant sites in the sick people to be predicted with described
The product of the incidence rate of predictive disease；
3rd computing unit, compares for calculating the product with the second of probability of happening of the variant sites in random crowd
Value, the probability that the user to be predicted suffers from the disease to be predicted is defined as by second ratio.
10. device according to claim 6, it is characterised in that described device also includes：
Receiver module, obtains request, the suggestion, which is obtained in request, to be carried for receiving the suggestion that the user to be predicted sends
There is the user to be predicted to suffer from the probability of the disease to be predicted；
Second acquisition module, for being obtained and the use to be predicted from the third-party server associated with the disease to be predicted
Family suffers from the corresponding advisory information of probability of the disease to be predicted；
The sending module, is additionally operable to the advisory information being sent to the terminal.
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