DESC:A METHOD FOR PREDICTING KIDS HEALTH AND LIFESTYLE RECOMMENDATION
FIELD
[0001] The embodiments herein generally relate to analysing gene variations and recommendation of lifestyle. More particularly, the disclosure relates to a method for predicting kids health by analysing gene variations and formulating treatment.
BACKGROUND AND PRIOR ART
[0002] Gene expression is the process of using information from a gene for the synthesis of a functional gene product. Food and its constituents directly or indirectly influence gene expression. The existing recommendation on lifestyle, diet and nutrition is not personalized and based on a general ‘One size fits all’ approach.
[0003] The extreme conditions in lifestyle and environment of kids of present generation can have an adverse impact on their overall wellness. Genetic predisposition is a genetic characteristic which influences the possible phenotypic development of a child under the influence of environmental conditions. Genetic susceptibility to a disease is related to a genetic predisposition to a health problem, which may eventually be triggered by particular environmental or lifestyle factors. Identification of genetic predisposition of complicated and rare genes at an early stage can help managing the health complications.
[0004] Therefore, there is a need for a personalized health care focusing on gene-based lifestyle modifications. Moreover, there is a need for a method of predicting kids health by analysing genes and formulating customized recommendations and changes in lifestyle and diet.

OBJECTS
[0005] Some of the objects of the present disclosure are described herein below:
[0006] The main objective of the present disclosure is to provide a method of predicting kids health and lifestyle recommendations based on the predicted health.
[0007] Another objective of the present disclosure is to provide a method of formulating diet and lifestyle changes based on analyzed variations in genes.
[0008] Still another objective of the present disclosure is to provide a method of customized health care based on individual’s gene variations.
[0009] Yet another objective of the present disclosure is to provide a method of personalized treatment using non-invasive genetic assessment for identifying susceptibility to health issues.
[00010] The other objectives and advantages of the present disclosure will be apparent from the following description when read in conjunction with the accompanying drawings, which are incorporated for illustration of preferred embodiments of the present disclosure and are not intended to limit the scope thereof.
SUMMARY
[00011] In view of the foregoing, an embodiment herein provides a method for predicting kids health and lifestyle recommendation.
[00012] In accordance with an embodiment, the method comprises the steps of identifying (101) genes affecting health parameters for customizing a gene panel, isolating (102) DNA of the kid by performing non-invasive genetic assessment, genotyping (103) the DNA using the customized gene panel for identifying genetic variations of the DNA and determining (104) effect of the identified genetic variations on health for predicting the health of the kid.
[00013] In accordance with an embodiment, the method including formulating life style recommendations based on the determined effect of the genetic variations on the health of the kid. In an embodiment, the method including formulating gene specific nutrition recommendations based on the determined effect of the genetic variations on the health of the kid.
[00014] In accordance with an embodiment, the method including identifying genes responsible for health parameters including obesity, vitamins, immunity, vision, bone health, cognition, lactose intolerance, gluten sensitivity, depression, stress, social behaviour, fear, boldness, hair, skin and autism.
[00015] In accordance with an embodiment, the non-invasive genetic assessment including collection of a saliva sample of the kid for isolating DNA.
[00016] In accordance with an embodiment, the method including analyzing the genetic variations for determining traits exhibited by the variation and identifying physical activity for the kid corresponding to the traits. In an embodiment, the genetic variations based on single-nucleotide polymorphism and alleles of the genes.
[00017] In accordance with an embodiment, the method includes predicting kids health and providing lifestyle recommendations by understanding genes and their corresponding function in maintaining health, identifying genetic variations and their affect on health, predicting health based on the identified genetic variations and formulating diet, nutrition and lifestyle changes based on the assessed genetic variation.
[00018] In accordance with an embodiment, formulating diet, nutrition and lifestyle recommendations are based on predicting kids’ health. Predicting kids’ health includes identifying and predicting health issues of a child using non-invasive genetic assessment. The non invasive genetic assessment including analyzing a plurality of genes affecting and playing a role in overall development of health of the child. Based on the analyzed genetic assessment, diet, nutrition and lifestyle are customized for effective health management.
[00019] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF DRAWINGS
[00020] The detailed description is set forth with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different figures indicates similar or identical items.
[00021] Fig.1 illustrates a flow chart of a method for predicting kids health and lifestyle recommendation, according to an embodiment herein.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[00022] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[00023] As mentioned above, there is a need for a personalized health care focusing on gene-based lifestyle modifications. In particular, there is a need for a method of predicting kids health and formulating customized recommendations and changes in lifestyle and diet by analysing genes and gene variations. The embodiments herein achieve this by providing “A method for predicting kids health and lifestyle recommendation”. Referring now to the drawings and more particularly to Fig.1, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[00024] Formulating lifestyle recommendations, diet and nutrition changes are based on prediction of kids’ health. Prediction of kids’ health is based on analysis of genes and variation in genes. Deoxyribonucleic acid (DNA) is a double stranded helical structure that carries chemical compounds in a specific pattern, which form the complete set of instructions for all biological functions within every cell. A gene is a particular section of the DNA performing a specific function in the body. Genes play a prominent role in deciding health outcomes like obesity, poor memory or learning capacity, nutrient requirements, and susceptibility to food intolerance among others. A Single Nucleotide Polymorphism (SNP) is defined as a single alteration in a DNA sequence. For example, two sequenced DNA fragments from different individuals, AAGCCTA and AAGCTTA, contain a difference in a single nucleotide. The variations in the gene impact health and well being of a kid, thereby customized lifestyle recommendations and changes in diet and nutrition are provided.
[00025] Fig.1 illustrates a flow chart of method for predicting kids health and lifestyle recommendation by understanding health-impacting genetic variations and managing health through gene-specific nutritional recommendations.
[00026] The method includes identifying 101 genes affecting health parameters for customizing a gene panel. In an embodiment, identifying genes based health parameters including but not limited to obesity, vitamins, immunity, vision, bone health, cognition, lactose intolerance, gluten sensitivity, depression, stress, social behaviour, fear, boldness, hair, skin and autism. The gene panel including the identified genes for determining genetic variations of a kid.
[00027] In an embodiment, the gene panel is an illumina chip.
[00028] Next, isolating 102 DNA of the kid by performing non-invasive genetic assessment. Non-invasive genetic assessment is performed on a kid for identifying variations in genes influencing the above mentioned health parameters using saliva as a sample. Saliva sample for DNA extraction and SNP identification is less invasive than blood collection. Samples are generally collected using passive drool technique.
[00029] Then, genotyping 103 the DNA using the customized gene panel for identifying genetic variations of the DNA. The genetic variations include alleles due to Single nucleotide polymorphism (SNP).
[00030] Finally, determining 104 effect of the identified genetic variations on health for predicting the health of the kid.
[00031] Genes influence health and metabolism of a child. Variations in the gene structures and their corresponding affect on the health of a child are analysed. A small genetic change, or variation, occurring within a person's DNA sequence can have an impact on health. Unfavourable genetic variation for a certain health outcome can be managed through a gene-specific recommendation. It is important to understand core reason for a health disturbance and then manage it. Genetic risks can be offset by favorable changes in lifestyle.
[00032] Based on the affect on health, gene-specific nutrition recommendations, customized strategies of diet and life style recommendations are formulated. Genetic risks in a child can be offset by making changes in lifestyle, choice of food and exercise. A small genetic variation occurring within the DNA sequence can have an impact on nutrient metabolism. Thereby, customized and personalized lifestyle, dietary and nutrition recommendations based on genes and genetic variations can effectively counterbalance genetic risks of a child.
[00033] The genes impacting health parameters and wellness such as obesity, eating preference, B vitamins & gut health, immunity, bone health, vision, skin and hair, memory and learning, emotional, behavioural and social wellbeing and food allergy are analysed.
[00034] In an embodiment, issues affecting health of kids including but not limited to obesity, vitamins, immunity, hair and skin, vision, bone health, cognition, lactose intolerance, gluten sensitivity, stress, depression, anxiety, social behaviour, fear and autism are analysed. Kids’ health is predicted based on analyzed genes and gene variations. Customized gene-specific diet, nutrition and lifestyle recommendation is formulated for a kid based on predicted health.
[00035] Genes increasing tendency for overeating, binge eating and excessive snacking are analysed. For example, Ghrelin is a hormone that initiates hunger. Ghrelin levels influence appetite and the desire to eat in between meals, thus increase before meals and decrease after meals. The ghrelin levels are important for controlling body weight. Childhood obesity is linked to the levels of ghrelin. GHRL gene controls Ghrelin production, and a variation in GHRL gene increases the inclination towards binge eating. This variation is managed through formulation of diet, nutrition and lifestyle recommendation. The formulation for variation in GHRL gene is addition of nutrient zinc from its dietary sources like apricots, avocado, peaches, dates, among others.
[00036] Obesity is linked to being physically active, thus genes responsible for lack of motivation for being physically active and exercising are assessed, example Catechol-O-methyltransferase (COMT).
[00037] Genes reflecting vitamin B12 status and folate levels for predicting susceptibility of enteric infections in children are analysed. B vitamins play an important role in gut health.
[00038] Genes denoting levels of vitamin C, vitamin E, iron, zinc and the amino acid arginine for assessing low immunity levels of a child and vulnerability to frequent infections are analysed.
[00039] A strong skeleton is built during childhood and adolescence and it is linked to calcium. Variations in a gene that affects calcium absorption are analysed. Vitamin D is a regulator of calcium absorption, and Vitamin D receptor (VDR) helps in maintaining normal vitamin D activity in the body thereby affecting bone health. Remedy in variations of this gene can be managed using dietary polyunsaturated fatty acids.
[00040] Genes having a role in vitamin A metabolism, as vitamin A is essential for retina. For managing variations on this gene, diet including of milk products are recommended.
[00041] Genes affecting learning abilities, or Autism and ADHD related genes, need to be identified early for easier and better management. These genes are further assessed and corresponding nutritional requirements are recommended for managing variations in these genes.

Health
parameter Genes rsid
Gene variations
Risk CEU frequency
(%) Risk GIH
frequency
(%)
Risk Allele Normal Allele
Obesity LEP rs7799039 A G 48% NA
LEPR rs2025804 G A 38% 21%
GHRL rs696217 T G 9.30% NA
CCK rs6791019 C T 23% NA
FTO rs9939609 A T 46% NA
ADIPOQ rs266729 G C 30% NA
COMT rs4680 G A 52% 58%
B Vitamins FUT2 rs602662 G A 67% 72%
MTHFR rs1801133 A G 31% 17%
Immunity TMPRSS6 rs855791 A G 41% NA
ZIP4/SLC39A4 rs2272662 G A 57% NA
SLC23A2 rs1279683 G A 60% NA
TTPA rs6994076 T A 48% NA
CPS1 rs1047891 A C 30% NA
RDH8 rs1644731 T C 52% 35%
BCMO1 rs7501331 T C 23% 21%
VDR rs731236 G A 44% NA
FADS1 rs174546 T C 34% 10%
Vision RDH8 rs1644731 T C 52% 35%
BCMO1 rs7501331 T C 23% 21%
Bone health VDR rs731236 G A 44% NA
Cognition/ Intelligence
FADS1 rs174546 T C 34% 10%
BDNF rs6265 A G 29% NA
TMPRSS6 rs855791 A G 41% NA
Lactose intolerance
MCM6 rs4988235 C T 89% (South Asians) NA
Gluten sensitivity
HLA-DQA1 rs2187668 A G 9% NA
Hair EDAR rs3827760 G A NA
AR rs2497938 T C 67% NA
FGF5 rs7680591 T C 42% NA
FGFR2 rs4752566 A T NA
Early life stress & depression
FKBP5 (FK506 binding protein 5) rs1360780 T G NA NA
CRP (C-reactive protein) rs1205 T C NA NA
HTR2C (5-hydroxytryptamine (serotonin) receptor 2C rs6318 A G NA NA
Depression & anxiety
BDNF rs6265 A G NA NA
TPH2 rs4570625 G T NA NA
Social behaviour
MAOA rs909525 G A NA NA
Fear COMT rs4680 A G NA NA
Skin
AGER rs2070600 C T 94% 90%
GLO1 rs2736654 A C 52%
CAT rs1001179 T C 25% 19%
GPX1 rs3448 T C 27% 3%
NQO1 rs1800566 A G 19% 40%
SOD2 rs4880 T C 44% 47%
LTA4H rs2540477 G A NA NA
TNFa rs1800629 A G 17% 6%
IL1B rs1143634 G A 79% 81%
EPHX rs1051740 C T 33% 33%
MMP2 rs243865 T C 24% 14%
TIMP-2 rs8179090 C G NA NA
Autism
GLO1 rs2736654 A C NA NA
rs1130534 A T NA NA
rs1049346 NA NA
TPH2 Tryptophan rs4570625 G T 36% NA
Table. 1
[00042] Table 1 illustrates health parameters, identified genes affecting the health parameters, parameters of the gene affecting the health parameters, risk CEU frequency and risk GIH frequency. The embodiments include but not limited to examples provided herein below.
[00043] LEP is one of the genes responsible for excessive snacking. The LEP gene regulates a signalling pathway that controls motivation to eat and is involved in neuronal regulation of appetite and food intake. Risk allele for the LEP gene is ‘A’ and a normal allele is ‘G’. Kids carrying the risk allele ‘A’ have low leptin levels and show extreme snacking pattern. They are more likely to be obese and over-weight when compared to the G allele carriers, specifically Indian adolescents. The gene-specific nutrition recommendation for the ‘A’ allele carriers is formulated to improve leptin sensitivity for promoting a healthy snacking pattern.
[00044] In an embodiment, the recommendation includes Omega 3 fatty acids from food sources including but not limited to milk and milk products, sea foods, nuts and oil seeds, cruciferous vegetables like cabbage, radish, cauliflower, brussel sprouts.
[00045] LEPR is another gene responsible for excessive snacking. The LEPR gene plays a role in binding leptin (Leptin regulates appetite, food intake and snacking pattern) with its receptor, thereby influencing food intake and snacking pattern. Risk allele for the LEPR gene is ‘G’ and a normal allele is ‘A’. Kids carrying the risk allele ‘G’ have extreme snacking behaviour, and GG carriers have higher BMI (Body Mass index) and abdominal obesity. The gene-specific nutrition recommendation for the ‘A’ allele carriers is formulated to improve leptin sensitivity for promoting a healthy snacking pattern.
[00046] In an embodiment, the recommendation includes Omega 3 fatty acids from food sources including but not limited to milk and milk products, sea foods, nuts and oil seeds, cruciferous vegetables like cabbage, radish, cauliflower, brussel sprouts.
[00047] GHRL is a gene responsible for binge eating. Ghrelin is a hormone that initiates hunger. Ghrelin levels increase before meals and decrease after meals. It influences appetite, the time when food is eaten and the desire to eat in between meals, playing an important role in controlling body weight. Risk allele for the GHRL gene is ‘T’ and a normal allele is ‘G’. Kids carrying the risk allele ‘A’ inclined towards binge eating and carry the risk for obesity when compared to the G allele carriers. The gene-specific nutrition recommendation for the ‘T’ allele carriers is formulated to regulate ghrelin levels optimally, thereby regulating appetite, meal timings and aiding in weight maintenance.
[00048] In an embodiment, the recommendation includes Dietary zinc from food sources including but not limited to wheat germ, cashews, pumpkin and squash seeds, cocoa, chocolate, mung beans, white mushrooms, lean beef, pork, sundried tomatoes, apricots, avocado, peaches, dates, lemon grass.
[00049] CCK is a gene responsible for increased meal portion size. Cholecystokinin is a gut hormone released after a meal which helps in digestion & gradually brings down appetite while eating. Thus cholecystokinin release controlled by CCK gene has a vital role in satiety response. Risk allele for the CCK gene is ‘C’ and a normal allele is ‘T’. Kids carrying the risk allele ‘C’ are at an increased risk of eating large meal portion sizes as their satiety response to a meal is poor. The gene-specific nutrition recommendation for the ‘C’ allele carriers is formulated to modulate glucocorticoid receptors, which have a biological role in regulating the cholesystokinin production and activity.
[00050] In an embodiment, the recommendation includes Dietary Carnitine from food sources including but not limited to Lean beef, Ice cream, asparagus, macaroni, bacon, cod fish, orange, beef, peanut butter.
[00051] FTO is a gene responsible is involved in the regulation of metabolic rate and energy expenditure which in turn influences body fat accumulation. Essentially, this gene influences appetite and satiety response. Satiety can be described as the feeling of fullness attained after eating. Risk allele for the CCK gene is ‘A’ and a normal allele is ‘T’. Kids carrying the risk allele ‘A’ have reduced satiety (feeling of fullness) thereby have a tendency to overeat. The gene-specific nutrition recommendation for the ‘A’ allele carriers is formulated as consuming smaller frequent meals rich in fiber and protein.
[00052] In an embodiment, the recommendation includes fiber and protein from food sources including but not limited to egg whites, pulses and lentils, milk, whole cereals, green and leafy vegetables, wherein foods are consumed as whole and less processed or refined.
[00053] ADIPOQ is a gene related to insulin resistance thereby causing obesity. The identified gene parameters includes G allele at the 11377 position in this gene associated with increased risk of obesity (studied in school children). Minor G allele is associated with reduced serum concentration of adiponectin. The formulated recommendation includes Omega 3 fatty acids to regulate adiponectin levels optimally thereby decreasing chances of developing obesity and type 2 diabetes.
[00054] COMT is a gene influencing reduced physical activity. The identified gene parameter includes ‘G’ allele carriers having reduced dopamine signaling, wherein inclination towards physical activity is poor. The formulated recommendation is provided as amino acids including Tyrosie and phenyl alanine that act as pre cursors for production of dopamine. Dietary intake of these amino acids can be beneficial in improving the production of dopamine.
[00055] FUT2 is a gene influencing vitamin B12 and enteric infections. The identified gene parameter includes AA allele and GG allele. AA allele carriers have functional FUT2 phenotype which decreases the risk of bacterial infection from pathogens, such as Helicobacte pylori, and relates with a high vitamin B12 status. On the other hand, individuals, homozygous for the non-functional FUT2 phenotype (GG), lack terminal fucose residues on mucin glycans and as a result, the gut microbial community of individuals with FUT2 deficiency may reduce in composition and diversity, as microbes cannot adhere or utilize host-derived glycans. This variation can potentially alter the susceptibility to H. pylori infection and its related gastric-induced vitamin B12 malabsorption. The formulated recommendation is 2'-Fucosyllactose (2-FL), fermented milk products, fucosyltransferases, probiotics.
[00056] MTHFR is a gene influencing pro-inflammation (obesity) and low cognition. The identified gene parameter is ‘A’ allele wherein the ‘A’ allele carriers have increased homocysteine levels in the blood. The formulated recommendation is consuming higher amount of folate (approximately twice the RDA), for meeting the increased folate requirements and keeping the heart healthy.
[00057] The gene TMPRSS6 influences immunity (iron) and weakness. The identified gene parameter includes ‘A’ allele, wherein the carriers having poor iron absorption due to increased hepcidin levels. The formulated recommendation includes Vitamin D3 and Vitamin C for reducing hepcidin expression to facilitate iron absorption thus improving immunity and mental abilities including concentration.
[00058] The gene ZIP4/SLC39A4 influences reduced immunity (Zinc). The identified gene parameter includes ‘G’ allele, wherein the carriers have reduced zinc uptake in the intestine as transporter activity is less efficient affecting zinc status and reducing immunity. The formulated recommendation includes high quality protein containing amino acids like histidine and methionine for improving zinc absorption.
[00059] SLC23A2 is a gene influencing reduced immunity (Vitamin C). The identified gene parameter includes ‘GG genotype’, wherein the individuals exhibit significantly lower plasma vitamin C concentrations than the other genotype. The formulated recommendation is bioflavanoids consumed along with vitamin C for improving bioavailability by increasing absorption of vitamin C.
[00060] Gene TTPA influences reduced immunity (Vitamin E). The identified genetic parameter is ‘T’ allele, wherein the carriers have reduced circulating vitamin E levels which affects immunity. The formulate recommendation is Vitamin E consumed with whole cereals (soluble fiber), for improving absorption due to its improved bioavailability.
[00061] CPS1 is a gene influencing reduced immunity (amino acid - Arginine). The identified gene parameter is SNP in the gene at an important co-factor binding site reducing the activity of this enzyme thereby influencing the arginine levels in the body. ‘A’ allele carriers have reduced synthesis of arginine, which is a semi-essential amino acid and has a vital role in immunity. The formulated recommendation is increased dietary consumption of arginine for maintaining homeostasis.
[00062] The gene RDH8 influences reduced immunity (retinol). The identified gene parameter includes ‘T’ allele, wherein the carrier exhibit difficulty in converting vitamin A to its active form for being in immunity. The formulated recommendation includes ß-Carotene 15, 15’-monooxygenase-1, aniron dependant enzyme, for regulating conversion of retinol to al-trans-retinal. Dietary supplementation of iron can help in improving the enzyme activity and regulate vitamin A metabolism.
[00063] The gene BCMO1 also influences reduced immunity (retinol). The identified gene parameter includes ‘T’ allele, wherein the carriers have lower plasma lutein. Lutein is a micronutrient that might be implicated in prevention of age-related macular degeneration. Female volunteers carrying the ‘T’ variant of rs7501331 (379V) exhibited a 32% lower ability to convert Beta-carotene. The formulated recommendation includes ß-Carotene 15, 15’-monooxygenase-1, ß-carotene-15,15-monoxygenase (BCMO1) to support vision, reproduction, immune function, and cell differentiation.
[00064] VDR is a gene influencing bone health and reduced immunity (Vitamin D). The identified gene parameter includes polymorphism which affects bone health through reduced calcium absorption. ‘G’ allele carriers exhibit poor vitamin D activity which reduces calcium absorption. The formulated recommendation is adequate PUFA & calcium through diet and optimal sun exposure for overcoming the polymorphism. Gene specific nutrients including Lactose, lysine, arginine, medium chain triglycerides enhance the bioavailability of calcium in the diet and maintains its homeostasis.
[00065] Cognition and intelligence in kids are influenced by genes. FADS1 is a gene relating to cognition. Identified gene parameter including ‘T’ allele, wherein the carriers poorly synthesize EPA and DHA from their parent n-3 fatty acid (ALA), affecting immunity and cognition. Formulated recommendation includes dietary intake of EPA and DHA.
[00066] The gene TMPRSS6 is related to concentration. Identified genetic parameters include ‘A’ allele, wherein the carriers have poor iron absorption due to increased hepcidin levels. The formulated recommendation including Vitamin D3 and Vitamin C for reducing hepcidin expression and facilitating iron absorption to improve immunity and mental abilities including concentration.

TRAIT
GENE (RSID) Gene variations Formulated recommendations
ALLELE 1 ALLELE 2

Aerobic Capacity
Optimal Aerobic capacity
Sub-optimal Aerobic capacity
VEGFA (rs2010963) C G Milk protein

GABPB1 (rs12594956) A C
HIF1A (rs11549465) C T
KCNJ11 (rs5219) C T Magnesium
UCP3 (rs1800849) T C CoQ10
ACE (rs4646994) Insertion pattern Deletion Pattern ACE-inhibitory peptides
AGT (rs699) T C Vitamin B6, taurine, & magnesium;
Combination of alpha-lipoic acid, omega-3 fatty acids, magnesium, CoQ10
PPARA (rs4253778) G C Polyunsaturated fatty acids
PPARGC1A (rs8192678) G A
AMPD1 (rs17602729) C T Dietary magnesium
GSTP1 (rs1695) G A Selenium and glutathione
NOS3, (rs2070744) G T Combination of omega-3 fatty acids, magnesium, CoQ10
ACSL1 (rs6552828) G A Magnesium
CAMTA1 (rs884736) G A
ADRB2 (rs1042713) A G

Endurance
/Sprinting Endurance suitable allele
Sprint suitable allele

ACTN3 (rs1815739), X (T) R (C) Milk protein
VEGFA (rs2010963) C G
HIF1A (rs11549465), C T
GABPB1 (rs12594956) A C
ACE (rs4646994) Insertion pattern Deletion pattern ACE-inhibitory peptides
AGT (rs699) T C Vitamin B6, taurine, & magnesium Omega-3 fatty acids, magnesium, and CoQ10
AGTR2 (rs11091046), C A Taurine, vitamin B6, & potassium
PPARA (rs4253778) G C Polyunsaturated fatty acids
PPARGC1A (rs8192678) G A
PPARD (rs2016520), C T
AMPD1 (rs17602729) C T Dietary magnesium
MCT1 (rs1049434), A T
ADRB2 (rs1042713) A G -
NOS3 (rs2070744) G T Combination of omega-3 fatty acids, magnesium, & CoQ10
IL-6 (rs1800795) C G Probiotics & omega-3 fatty acids; Curcumin
Pre-Disposition to Musculo-skeletal Injuries
Injury
Susceptible allele
Protective allele
COL5A1 (rs12722) T C • Anthocyanins, glutathione, vitamin C, Methionine, Cysteine and Taurine
• Branched chain amino acids (BCAA) -leucine, isoleucine and valine
• Vitamin B6 & E
• Pre & post exercise stretching, and random exercising of different muscle groups
COL1A1 , (rs1800012) G T
COL12A1 (rs240736) A G
ELN (rs2289360) AA G • Vitamin A & C
• Genistein
• Gelatin rich foods
• Copper
TNC (rs2104772) A T
MMP3 (rs679620) G A Zinc supplementation iPolyphenols, carotenoids, & flavonoids
GDF5 (rs143383) T C Beta-palmitate
IGF2 (rs3213221) G A Essential amino acids (histidine, isoleucine, leucine, lysine, methionine, phenylalanine, threonine, tryptophan, and valine)

Recovery Pace For Sports Related Injuries Quick recovery allele
Slow recovery allele

TNFa (rs1800629) G A Probiotics & omega-3 fatty acids Curcumin (150-1500 mg/day)
IL-6 (rs1800795) G C
CRP (rs1205) A G
CCL2 (rs2857656) CC, GG G Omega-3 fatty acids & Epigallocatechin-3-Gallate (EGCG)
SOD2 (rs4880) C T Manganese, Vitamin A, C and E

Muscle Fatigue Resistance
Less prone to muscle fatigue allele
More prone to muscle fatigue allele
TNFa (rs1800629) G, GG A Probiotics & omega-3 fatty acids Curcumin (150-1500 mg/day)
IL-6 (rs1800795) G C
CRP (rs1205) A G
CCL2 (rs2857656) CC, CG G, GG Omega-3 fatty acids & Epigallocatechin-3-Gallate (EGCG)
SOD2 (rs4880) C T • Manganese
• Vitamin A, C and E
GSTP1 (rs1695) G A Selenium & tripeptide glutathione
COL5A1 (rs12722) C T • Anthocyanins, glutathione, vitamin C, Methionine, Cysteine and Taurine;
Branched chain amino acids (BCAA) - leucine, isoleucine and valine
• Vitamin B6 & E
COL1A1 (rs1800012) T G
COL12A1 (rs240736) G A
AMPD1 (rs17602729) C T Dietary magnesium
MCT1 (rs1049434) A T Dietary magnesium
Table.2
[00067] Table 2 illustrates physical traits corresponding to genetic variations and respective formulated recommendations.
[00068] The traits include but not limited to aerobic capacity, endurance and sprinting, pre-disposition to musculo-skeletal injuries, recovery pace for sports related injuries and muscle fatigue resistance. Genes influencing the traits are identified and variations of the genes affecting the traits are determined, wherein the parameters including alleles. Based on effect of the gene variations on health of the kid, gene-specific nutrition recommendations are formulated.
[00069] A main advantage of the present disclosure is that the method predicts health and provides lifestyle recommendations by analyzing gene and gene variations.
[00070] Another advantage of the present disclosure is that the method provides personalized health and lifestyle recommendation based on genes and gene variations.
[00071] Still another advantage of the present disclosure is that the method provides early identification of susceptibility to diseases and customized gene-specific treatment.
[00072] Yet another advantage of the present disclosure is that the method provides personalized diet, nutrition and lifestyle recommendation using non-invasive genetic assessment.
[00073] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein
,CLAIMS:We claim:
1. A method for predicting health of a kid, comprising the steps of:
identifying (101) genes affecting health parameters for customizing a gene panel;
isolating (102) DNA of the kid by performing non-invasive genetic assessment;
genotyping (103) the DNA using the customized gene panel for identifying genetic variations of the DNA; and
determining (104) effect of the identified genetic variations on health for predicting the health of the kid.
2. The method as claimed in claim 1, wherein the method including formulating life style recommendations based on the determined effect of the genetic variations on the health of the kid.
3. The method as claimed in claim 1, wherein the method including formulating gene specific nutrition recommendations based on the determined effect of the genetic variations on the health of the kid.
4. The method as claimed in claim 1, wherein the method including identifying genes responsible for health parameters including obesity, vitamins, immunity, vision, bone health, cognition, lactose intolerance, gluten sensitivity, depression, stress, social behaviour, fear, boldness, hair, skin and autism.
5. The method as claimed in claim 1, wherein the non-invasive genetic assessment including collection of a saliva sample of the kid for isolating DNA.
6. The method as claimed in claim 1, wherein the method including analyzing the genetic variations for determining traits exhibited by the variation and identifying physical activity for the kid corresponding to the traits.
7. The method as claimed in claim 1, wherein the genetic variations based on single-nucleotide polymorphism and alleles of the genes.