CN115521986A - Human physical ability evaluation method based on biological multigroup knowledge - Google Patents
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Abstract
The invention belongs to the field of bioinformatics, and relates to a human physical ability evaluation method based on biological multiunit knowledge. The invention summarizes a plurality of genes related to the self-body traits of the base such as strength, endurance, explosive force and the like, and obtains a plurality of advantageous genotypes beneficial to the phenotype by summarizing experimental data. These genotypes will play a guiding role in constructing a novel index framework. According to the gene data, the existing physical ability test standard is reclassified by combining the apparent group types, the genotype knowledge is introduced into a physical ability index scheme to obtain a graded physical ability index draft, so that the more detailed and more personalized physical ability test standard which meets the actual requirement is met. Meanwhile, the evaluation standards are adjusted according to the environments such as rainforests, plateaus, deserts and the like to form targeted physical ability evaluation methods under different environments, the existing standards are fed back and optimized based on test data, and finally a complete human body physical ability evaluation standard system with a feedback mechanism is formed.
Description
Technical Field
The invention belongs to the field of bioinformatics, and relates to a human physical ability evaluation method based on biological multiunit knowledge.
Background
The physical quality of human body is the comprehensive performance of all organ system functions, such as strength, endurance, speed, sensitivity, flexibility and other body abilities, of the human body under the central nervous regulation in the processes of movement, labor and daily activities. Due to the particularity of some special industries, a human body is often subjected to violent movement higher than the ordinary degree, longer movement time and the requirement of being suitable for various extreme environments; therefore, the existing standard usually focuses more on the athletic ability and the actual ability of the human body, items set around the targets usually are some items comprehensively embodying physical quality, which results in that the actual physical quality of the human body cannot be accurately and directly embodied, meanwhile, the physical qualities in the aspects of specific endurance, strength, explosive force and the like of the human body cannot be realized, and the evaluation standard usually only comprises test results, so that the evaluation standard is very fuzzy and is easily influenced by different environmental factors, and measures which can be taken in the aspect are to perform proper standard reduction on the test result at high altitude; but the overall evaluation criterion is single, so that the referential of the evaluation result is not large.
The gene is the main material of the genetic variation in the human body, and supports the basic structure and life activities of the human body. It is an intrinsic factor that determines life health. The gene expresses the genetic information carried by the gene by guiding the synthesis of protein, thereby controlling the character expression of the organism individual.
Disclosure of Invention
The invention provides a human body physical ability evaluation method based on biological multiomics knowledge, which introduces biological informatics knowledge and brings gene sequencing into the current physical ability standard for supplement.
The invention is roughly divided into three parts:
(1) Biological multigroup knowledge is fused into the current physical performance index scheme. When the physical performance index of a human body is established, basic physical qualities such as muscle strength, endurance, explosive force and the like and factors such as actual skill of fitting need to be considered. The method can determine the constitution data of specific muscle strength, endurance, oxygen deficiency resistance and the like by detecting the specific genotype of the human body by utilizing the knowledge of genomics, and simultaneously completes the establishment of more detailed constitution indexes of the human body by combining with the conventional exercise indexes, thereby meeting the requirement of combining basic constitution of the human body with specific activities and special environments.
(2) And (4) according to the graded index draft, formulating physical fitness index judgment standards under different situations. According to different tests, different environments or task requirements, a corresponding weighted calculation method is carried out on six different phenotypes of the index, and the requirements on some special environments are reflected by emphasizing the weights of some phenotypes.
(3) And optimizing the original standard aiming at the test data.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the human physical ability evaluation method based on the biological multigroup knowledge comprises the following steps:
step (1) association of physical ability test items with human body epigomics and genomics knowledge
The original physical fitness test indexes are graded, and labels such as speed, endurance, oxygen resistance, strength, sensitivity, flexibility and the like are added to form a standard of grading a plurality of first-grade indexes under each sport item.
The original physical ability test items are associated with the grading method and the genetic priori knowledge, and the existing standards are classified in the following multi-stage mode, so that a multi-stage index framework for associating the biological multiomic information with the physical ability test items is formed. The method comprises the following specific steps:
first-level indexes:
the specific phenotypes are: endurance, strength, explosive force, flexibility, height and weight index, plateau adaptability; the adaptability of the plateau is the adaptability of a human body to the low-oxygen, low-temperature and low-pressure environments of the plateau, the existing performance test item performance needs to be compared with the test performance of a common plain on the plateau, so that the adaptability of the plateau is reflected, and after enough data are collected in the later period, the adaptability of the plateau can be judged according to the body test data and the genotype data.
Secondary indexes are as follows:
according to different action targets or action forms of each influencing factor, the six phenotypes of the first-level indexes are divided into a plurality of levels of second-level indexes, which are as follows:
endurance phenotype: including aerobic capacity and muscle tissue; strength phenotype: including skeletal, muscle development and related protein catalysis, including various enzymes, hormones and inducers; burst phenotype: including muscle tissue development, and catalysis by related proteins, including hormones that regulate metabolism, enzymes that promote fat hydrolysis, hypoxia-inducible factors, and the like; height and weight phenotype: including gene specificity and associated protein catalysis.
And (3) three-level indexes:
selecting concentrated specific genes for measuring the physical quality of the testers, taking the selected genes as a tertiary index, wherein the tertiary index and the secondary index are in a crossed corresponding relation, and therefore, the type of the dominant genotype related to the phenotype is used as the judgment standard of the index.
Step (2) standard-based physical ability evaluation method comprising different environments
The criteria need to be weighted for different external influencing factors.
Step (3) feedback optimization of standards based on test data
And comparing the tested gene data with the physical measurement data of the personnel. The concrete measures are as follows: ranking and partitioning the body test results, counting the gene data of the first 15% of people, improving the weight of the existing original dominant genotype, and deleting the dominant genotype which does not exist in 50% of intervals; meanwhile, the approximate genotype in the interval of 15% after marking is taken as a disadvantaged genotype, the existing standard is optimized based on the feedback result, and the standard is optimized through multiple tests, so that a more practical physical standard is obtained finally.
The invention has the beneficial effects that: the invention summarizes a plurality of genes related to the self-body traits of the base such as strength, endurance, explosive force and the like, and obtains a plurality of advantageous genotypes beneficial to the phenotype by summarizing experimental data. These genotypes will play a guiding role in constructing a novel index framework. According to the gene data, the existing physical ability test standard is graded again by combining the apparent group type, the genotype knowledge is introduced into the physical ability index scheme to obtain a graded physical ability index draft, so that the physical ability test standard which is more detailed, more personalized and more in line with the actual requirement is met. Meanwhile, the evaluation standards are adjusted according to the environments such as rainforests, plateaus, deserts and the like to form targeted physical ability evaluation methods under different environments, the existing standards are fed back and optimized based on test data, and finally a complete human body physical ability evaluation standard system with a feedback mechanism is formed. The invention can provide accurate evaluation of the physical ability of the human body according to different environments and requirements, and the method is simple and accurate.
Drawings
FIG. 1 is a fitness index grading framework based on biomultinomial data according to the present invention;
FIG. 2 is a criterion for the endurance phenotype.
Detailed Description
The following further describes a specific embodiment of the present invention with reference to the drawings and technical solutions.
The invention relates to a human physical ability evaluation method based on biological multiunit knowledge, which comprises the following steps:
step (1) association of physical ability test items with human body epigomics and genomics knowledge
The original physical fitness test indexes are classified, and labels such as speed, endurance, oxygen resistance, strength, sensitivity and flexibility are added to form a standard draft of classifying a plurality of first-level indexes under each sport item.
Because each group of phenotypes receives the mixed influence of multiple factors in the human body, the phenotypes can be continuously subdivided into two-level indexes, and the six phenotypes are divided into a plurality of levels of the two-level indexes according to the difference of action targets or action forms of each influencing factor. The classification method for human body epigenomics is shown in table 1.
TABLE 1 Classification method of human body epigenomics
By associating the original test items with the classification method and the genetic priori knowledge, the existing standard can be classified in the following multi-stage manner, so that a multi-stage index framework for associating the biological multiomic information with the physical ability test items is formed. The indexes at all levels are introduced as follows:
first-level indexes:
because the final purpose of the test item is to consider the comprehensive physical quality of the testers, a plurality of physical quality phenotypes are added on the level of the traditional test item; thus, the comprehensive physical quality is measured: the specific phenotypes are: endurance, strength, explosive force, flexibility, height and weight index, plateau adaptability; the adaptability of the plateau is the adaptability of the human body to the environments of hypoxia, low temperature and low pressure of the plateau, the existing performance test item performance needs to be compared with the test performance of the common plain on the plateau, so that the adaptability of the plateau is reflected, and after enough data are collected in the later period, the adaptability of the plateau can be judged according to the body test data and the genotype data of the plateau.
Secondary indexes are as follows:
because each group of phenotypes receives mixed influence of multiple factors in a human body, the phenotypes can be continuously subdivided into two-level indexes, the six phenotypes are divided into a plurality of levels of the two-level indexes according to different action targets or action forms of each influencing factor, and the hierarchical description of the six phenotypes is introduced as follows:
endurance phenotype; the motor phenotype of endurance capacity is more studied. VO2max is considered to be a limiting factor of endurance capacity, and recently, indexes such as Running Economy (RE), anaerobic Threshold (AT), and oxygen dynamic curve, which have become hot spots, are known. Since VO2max, the anaerobic threshold and the oxygen dynamic curve all relate to aerobic capacity, while the run-saving transformation relates to the transformation of muscle fibers, the two properties of aerobic capacity and muscle tissues are selected as secondary indexes of endurance by screening typical gene research. A strength phenotype; the group of phenotypes is divided into two groups through the difference of the influence targets of genes on human strength and traits: skeletal, muscle development, related protein catalysis; wherein the protein comprises: various enzymes, hormones, and inducers. A burst strength phenotype; consistent with the strength phenotype, the influence targets of the genes on the strength traits of the human body are divided into two groups, namely muscle tissue development and related protein catalysis, wherein the proteins comprise hormones for regulating and controlling metabolism, enzymes for promoting fat hydrolysis, hypoxia inducible factors and the like. A height and weight phenotype; according to the different types of influencing factors, the gene specificity and the related protein catalysis are divided.
And (3) three-level indexes:
the specific genotype of a tester can be tested by utilizing a gene sequencing technology, and the expression of genes can influence links such as protein, transcription and the like in a human body so as to change the constitution of one person, so that the selected concentrated specific genes are selected to measure the physical constitution of the tester, the selected genes are used as a third-level index, the third-level index and the second-level index are in a crossed corresponding relation, and the type of the dominant genotype related to the phenotype is used as a judgment standard of the index. Specific genotypes are shown in table 2:
TABLE 2 genotypes based on Biomultigenomic data
The final standard consists of three levels of phenotype, target effect meaning, influencing factors and gene data, and the standard judgment index also needs to consist of the test result and the genotype data together. By combining the introduced genotype with the hierarchical index framework, the physical performance index draft shown in fig. 1 is obtained.
Taking the endurance phenotype as an example, gene sequencing data in the index is combined with four physical ability test results such as 1000 m running, round trip running, 100 m running and chin running to form an evaluation standard for human endurance quality, wherein the specific evaluation standard is shown in a figure, and the physical ability test results are graded according to the results of the total number of participants according to the proportion of the number of the participants. The criteria for the endurance phenotype are shown in FIG. 2.
Step (2) human body physical ability level evaluation method aiming at environments including plateau, desert and rainforest
Considering the judgment standard of the physical ability index under different units, different environments and different tasks, because in the actual test, some special environments and requirements often exist; it is necessary to specialize the standard for these different external influencing factors. The scores of the six phenotypes can be further weighted according to the required personnel, a larger proportion is set for the phenotype scores closer to the actual requirement, and the scores of other phenotypes are weighted less, so that the function of screening adaptive populations in a special environment is achieved.
According to the physical fitness index system, aiming at the influence of different environmental factors on the functions of a human body, a set of physical fitness judging method oriented to various environments is formulated. The physical fitness of a human body is divided into endurance quality, strength quality, explosive power quality, flexibility quality, height and weight and the like. Aiming at parameters of influence of the environment on the functions of human bodies, the environment of the plateau, the desert and the ocean of the rainforest is divided into the characteristics of low oxygen and low pressure, low temperature, high temperature, drought, humidity and the like on the basis of the plain zone environment. Aiming at the environmental factors, different gene indexes have different requirements, sequencing is carried out aiming at special genotypes, and evaluation is carried out aiming at dominant genotypes and disadvantaged genotypes. Meanwhile, the conventional sports items are changed and specially processed according to different environments, and the physical fitness of the human body is judged by combining gene data.
Taking data in a plain environment as a reference, adjusting the body test result aiming at low oxygen and low pressure, different humidity and different air temperature, and adjusting the weight of the corresponding adaptive gene; and generating physical ability data under the corresponding environment. The plateau environment is characterized by low atmospheric pressure, low temperature and low oxygen content, and simultaneously, the discharge amount of human body fluid in the plateau environment is more than 2 times of that in the same situation. Wherein, the air pressure and the temperature are approximately linearly decreased along with the change of the altitude. Wherein the air temperature is reduced by about 0.56 ℃ every 100 meters of the altitude; the atmospheric pressure drops by about 20% per 1000 meters with increasing altitude.
Because the human cardiovascular and cerebrovascular systems are influenced by low oxygen concentration and low-pressure environment in the plateau environment, wherein the influence of the low oxygen concentration on myocardial metabolism is most obvious, special weight increase on genetic items influencing the myocardial system is needed in physical ability assessment of the plateau environment, and meanwhile, the oxygen supply capacity of the human body is greatly reduced when items including explosive power, endurance test and the like are carried out under the low oxygen concentration, so the performances of the items are reduced to different degrees; among them, the decrease in myocardial metabolic level has a more significant effect on explosive force test items, and therefore, the performance of items such as sprints needs to be further decreased. Secondly, the plateau low-temperature environment has different degrees of influence on the myocardial system, the human body flexibility and other physical items, and meanwhile, the human body fat content can reduce the influence on the human body function in the plateau low-temperature environment to a certain extent. Therefore, in the plateau environment, the influence of the low-temperature environment on the flexibility is reflected by reducing the flexibility test results at different temperatures. The effect on strength is reflected by reducing the performance of the static strength test. In addition, the need for a high body mass index is further increased due to the effect of fat levels on low temperature tolerance. By combining the above conditions, aiming at the physical ability test result of the plain, the physical ability condition under the plateau environment is adjusted as follows.
The test data is adjusted for the predicted environment and the genetic data of the tester based on the physical measurement result in the plain environment. Adjustment for endurance items for genotypes in which aerobic capacity is affected; the 1000 m long run score, 100 m dash and round run score of the members with the dominant genotype were adjusted. The descending degree of the results is controlled according to different proportions of dominant genotypes, and the results of 75 percent or more of people with the dominant genotypes are increased by 5-10s every 1000 m along with the rise of the altitude of the plateau; the achievement of 50-75% of people with dominant genotypes is increased by 10-15s every 1000 m along with the rise of the altitude of the plateau; the achievement of 25-50% of people with dominant genotypes is increased by 15-20s every 1000 m along with the rise of altitude of the plateau; less than 25% of people with dominant genotypes have the achievement increased by 20-30s every 1000 m along with the rise of altitude of the plateau. Adjusting push-up and pull-up performance of members with dominant genotypes against genotypes contributing to muscle fiber level; the achievement of 75% or more of the people with the dominant genotypes is reduced by 3-5 times every 1000 m along with the rise of altitude of the plateau; the achievement of 50-75% of the people with dominant genotypes is increased for 6-7 times every 1000 m along with the rise of altitude of the plateau; the achievement of 25-50% of people with dominant genotypes is increased 8-9 times every 1000 m along with the rise of altitude of the plateau; the results of less than 25% of people with dominant genotypes are increased by 10 times or more per 1000 m along with the rise of altitude of the plateau.
For the adjustment of the strength program, since the plateau environment has no influence on the expression of the genotype related to the skeletal muscle development, the adjustment of the strength program is focused on the genotype catalyzed by the protein. Adjusting the push-up and pull-up scores of members with dominant genotypes; the achievement of 75% or more of the people with the dominant genotypes is reduced by 3-5 times every 1000 m along with the rise of altitude of the plateau; the achievement of 50-75% of the people with dominant genotypes is reduced by 6-7 times with the rise of altitude of the plateau and every 1000 m; the achievement of 25-50% of people with dominant genotypes is reduced by 8-9 times with the rise of altitude of the plateau and every 1000 m; there are less than 25% of people with dominant genotypes, and their performance decreases by 10 times or more per 1000 m of elevation of plateau.
For the adjustment of explosive force projects, the influence of plateau environment on the explosive force is mostly concentrated on the aspect of a cardiac muscle system; thus, adjustments to the explosive force program have focused on the dominant genotype involved in protein catalysis in favor of explosive force. Adjusting 100 meter running and round-trip running scores of members with dominant genotypes; the achievement of 75 percent of people with dominant genotypes is increased by 5-10s every 1000 m along with the rise of the altitude of the plateau; the achievement of 50-75% of the people with dominant genotypes is increased by 10-15s every 1000 m along with the rise of altitude of the plateau; the achievement of 25-50% of people with dominant genotypes is increased by 15-20s every 1000 m along with the rise of altitude of the plateau; less than 25% of people with dominant genotypes have the achievement increased by 20-30s every 1000 m along with the rise of altitude of the plateau. Adjusting the primer-up scores of members with dominant genotypes; the achievement of 75% or more of the people with the dominant genotypes is reduced by 3-5 times every 1000 m along with the rise of altitude of the plateau; the achievement of 50-75% of people with dominant genotypes is reduced by 6-7 times when the altitude of the plateau rises by 1000 m; the achievement of 25-50% of people with dominant genotypes is reduced by 8-9 times with the rise of altitude of the plateau and every 1000 m; there are less than 25% of people with dominant genotypes, and their performance decreases by 10 times or more per 1000 m of elevation of plateau.
The influence of the plateau environment on the flexibility project is mainly related to the characteristics of low temperature, so that the altitude of the plateau environment is increased by 1000 meters for the forward bending performance of the tested person in the sitting position in the plain environment. The achievement is reduced by 5-10cm; and linearly increases from 5cm to 10cm with increasing altitude.
The rainforest environment is characterized by high humidity and high temperature. Because the human body can generate a large amount of heat when doing fierce movement; when the environment temperature is higher than the temperature of the human body, the human body can absorb heat from the outside, so that the body temperature is increased, and the respiration and heartbeat are increased; meanwhile, the evaporation capacity of body fluid such as sweat of a human body is greatly reduced due to high environmental humidity, so that ineffective sweat secretion is caused, and the body temperature is not effectively reduced, so that the normal sweat secretion cannot be reduced, and the total body fluid discharge capacity is increased. Therefore, the problems of increased body water loss and insufficient heat dissipation of the human body in the damp and hot environment such as rainforests can be solved. Aiming at the two problems, the following adjustment is carried out on the physical ability prediction condition of the human body in the rainforest environment based on the plain test condition. Mainly aiming at two items of endurance and explosive force, the method adjusts the two items.
The adjustment of endurance items is mainly directed to the aerobic ability, and is mainly performed for a 1000-meter long running result, a 100-meter sprint, and a round trip running result. Therefore, the judgment standards are defined as follows according to different environmental temperatures and environmental humidities, and for people with the standard temperature of 20 ℃ and the standard humidity of 50 percent and the dominant genotypes of 75 percent or more, the score temperature and the humidity of the people are increased by 5 ℃ and 10 percent and the score is increased by 5-10s; for 50-75% of people with dominant genotypes, the achievement temperature rises by 5 ℃ and the humidity rises by 10% every time, and the achievement increases by 10-15s; for 25-50% of people with dominant genotypes, the achievement temperature rises by 5 ℃ and the humidity rises by 10% every time, and the achievement increases by 15-20s; the result of the dominant genotype of the individuals with the dominant genotype is increased by 20-30s every 5 ℃ and 10% of the temperature and the humidity.
Aiming at the aspects of muscle tissue strength, the explosive force item is mainly adjusted aiming at the scores of the primer, and aiming at the personnel with the standard temperature of 20 ℃, the standard humidity of 50 percent and the dominant genotypes of 75 percent or more, the scores of the personnel are reduced by 3-5 times when the temperature is increased by 5 ℃, the humidity is increased by 10 percent; for 50-75% of people with dominant genotypes, the achievement temperature rises by 5 ℃ and the humidity rises by 10%, and the achievement is reduced by 6-8 times; the result temperature of the people with dominant genotypes below 50 percent is increased by 5 ℃ and the humidity is increased by 10 percent, and the result is reduced by 9 to 10 times.
The desert environment is characterized by high temperature, high ultraviolet intensity and low humidity; therefore, the sweat amount possibly generated is far greater than that of a normal environment, so that the environment with low water content and inorganic salt content is more serious than that of a rainforest environment, and meanwhile, the desert environment has huge influence on a nervous system, and phenomena of slow reaction, fatigue, reduction of the sleeping working efficiency and the like exist. Therefore, the physical ability evaluation method under the desert environment is modified as follows.
The adjustment is mainly performed for endurance and explosive force items, and the adjustment is mainly performed for 1000 m long running performance, 100 m sprinting performance and round trip performance in terms of aerobic capacity in the endurance item. Therefore, the judgment standards are defined as follows according to different environmental temperatures and environmental humidities, and for people with the standard temperature of 20 ℃ and the standard humidity of 50 percent and the dominant genotypes of 75 percent or more, the score temperature of the people is increased by 5 ℃ and the humidity of the people is reduced by 5 percent, and the score is increased by 5-10s; 50-75% of the people with dominant genotypes have the results that the temperature rises by 5 ℃ and the humidity decreases by 5% and the results increase by 10-15s; the achievement temperature of 25-50% of the people with dominant genotypes rises by 5 ℃, the humidity is reduced by 5%, and the achievement is increased by 15-20s; the temperature and humidity of the individuals with dominant genotypes below 25 percent are reduced by 5 percent, and the results are increased by 20-30s every time the temperature is increased by 5 ℃.
Aiming at the aspect of the strength of muscle tissues, the explosive force item is mainly adjusted aiming at the scores of the primer, and aiming at the personnel with the standard temperature of 20 ℃, the standard humidity of 50 percent and the dominant genotypes of 75 percent or more, the scores of the personnel are reduced by 3 to 5 times when the temperature is increased by 5 ℃ and the humidity is reduced by 5 percent; 50-75% of the people with dominant genotypes have the results that the temperature rises by 5 ℃ every time, the humidity is reduced by 5%, and the results are reduced by 6-8 times; the temperature and humidity of the individuals with dominant genotypes below 50 percent are increased by 5 ℃ and reduced by 5 percent, and the results are reduced by 9 to 10 times.
Step (3) feedback optimization of standards based on test data
Existing criteria are optimized based on the test data. And comparing the tested gene data with the physical testing data of the personnel. The concrete measures are as follows: ranking and partitioning the body test results, counting the gene data of the first 15% of people, improving the weight of the existing original dominant genotype, and deleting the dominant genotype which does not exist in 50% of intervals; meanwhile, the approximate genotype in the interval of 15% after marking is taken as a disadvantaged genotype, the existing standard is optimized based on the feedback result, and the standard is optimized through multiple tests, so that a more practical physical standard is obtained finally.
Claims (1)
1. The human physical ability evaluation method based on the biological multiunit knowledge is characterized by comprising the following steps:
step (1) association of physical ability test items with human body epigenomics and genomics knowledge
Grading the original physical fitness test indexes, and adding speed, endurance, oxygen resistance, strength, sensitivity and flexibility labels to form a standard of grading a plurality of first-grade indexes under each sports item;
the method comprises the steps of associating an original physical ability test item with the grading method and the prior knowledge of genetics, and carrying out multi-level classification on the existing standard as follows to form a multi-level index frame for associating biological multiomic information with the physical ability test item; the method comprises the following specific steps:
first-level indexes:
the specific phenotypes are: endurance, strength, explosive force, flexibility, height and weight index, plateau adaptability; the adaptability of the plateau is the adaptability of a human body to the low-oxygen, low-temperature and low-pressure environment of the plateau, the existing performance of physical fitness test items needs to be compared with the performance of the test of a common plain on the plateau, so that the adaptability of the plateau is reflected, and after enough data is collected in the later period, the adaptability of the plateau can be judged according to the physical testing data and the genotype data of the plateau;
secondary indexes are as follows:
according to different action targets or action forms of each influence factor, the six phenotypes of the upper-level indexes are divided into a plurality of levels of second-level indexes, which are as follows:
endurance phenotype: including aerobic capacity and muscle tissue; strength phenotype: including skeletal, muscle development and related protein catalysis, including various enzymes, hormones and inducers; burst phenotype: including muscle tissue development, and associated protein catalysis, including hormones that regulate metabolism, enzymes that promote lipolysis, and hypoxia inducible factors; height and weight phenotype: including gene specificity and associated protein catalysis;
and (3) three-level indexes:
selecting concentrated specific genes for measuring the physical quality of the testers, taking the selected genes as a third-level index, wherein the third-level index and the second-level index are in a crossed corresponding relation, and therefore, the judgment standard which takes the type of the dominant genotype related to the phenotype as the index is passed;
step (2) standard-based physical ability evaluation method comprising different environments
The criteria need to be weighted for different external influencing factors;
step (3) feedback optimization of standards based on test data
Comparing the tested gene data with the physical testing data of the personnel; the concrete measures are as follows: ranking and partitioning the body test results, counting the gene data of the first 15% of people, improving the weight of the existing original dominant genotype, and deleting the dominant genotype which does not exist in 50% of intervals; meanwhile, the approximate genotype in the interval of 15% after marking is taken as a disadvantaged genotype, the existing standard is optimized based on the feedback result, and the standard is optimized through multiple tests, so that a more practical physical standard is obtained finally.
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