Chronic Diseases & India


At the present stage, chronic diseases account for 53 percent of total deaths each year in India, which is expected to grow up to 67 percent by 2030.1

In analysing India’s current chronic disease situation, two distinct patterns can be noticed. First, a high proportion of deaths due to chronic diseases occur at relatively younger ages among the Indian population. In terms of productive years of life lost due to cardiovascular diseases among people between 35 and 64 years, India ranks first in the world with 9.2 million years lost in 2000 alone. The number is estimated to rise to 17 million years by 2030, almost 940 percent greater than the loss in the USA.1

Chronic Disease and Genes

Most of older adults (>60%) live with two or more chronic conditions. Twin studies have long established that genes are contributors to chronic conditions such as cardiovascular disease, diabetes, obesity, RA, Alzheimer’s disease (AD), and depression. Only recently, however, has it become possible to measure individual-level risks for these chronic diseases using molecular genetic data from GWAS. These studies facilitate individual-level quantification of genetic risks for specific conditions using PRS based on a person’s genotype and the GWAS-derived genetic effects on the conditions. genome-wide association studies (GWAS)-derived polygenic risk scores (PRS) have shown promising results in explaining variation in individual outcomes in several settings.2

Further, George L. et al (2017) reported that heritable biological risks for chronic conditions captured through PRS are associated with meaningful long-run declines in functional health and lower lifelong socioeconomic achievements. The vital mechanism underlying these associations is likely the impact of onset of chronic conditions on the studied outcomes. Because genes are inherited at conception, the interplay between genes and these outcomes may start early in life, in the form of earlier onset of chronic conditions or preclinical presence and intensify over time. 2

Thus, stronger genetic predispositions for leading chronic conditions are related to worse long-run health and socioeconomic status (SES) outcomes, likely reflecting the adverse effects of the onset of these conditions on one’s wellbeing.2

Further, evaluating these effects may ultimately be useful for informing the designing of more effective care management programs and treatment plans that ensure adequate access to high quality and effective health services as well as access to prevention and health promotion programs early in life that may reduce the long-term adverse effects of genetic risks.2

Customise your healthcare routine as per your Genes

MyDNA Gene Proactive assesses 99+ conditions and traits, covering a spectrum of health concerns.


  • Parkinson’s
  • Multiple Sclerosis
  • Schizophrenia
  • Alzheimer’s
  • Bipolar disorder
  • Migraine
  • Amyotrophic lateral sclerosis
  • Restless legs syndrome
  • Atrial fibrillation
  • Coronary heart disease
  • Stroke
  • Long QT Interval
  • Hypertrophic cardiomyopathy
  • Venous thromboembolism
  • Sudden cardiac arrest
  • Ankylosing Spondylitis
  • Rheumatoid Arthritis
  • Asthma
  • Systemic Lupus Erythematosus
  • Biliary cirrhosis
  • Chronic kidney disease
  • Crohn's disease
  • Ulcerative colitis
  • Celiac disease
  • Colorectal cancer
  • Lung cancer
  • Pancreatic cancer
  • Bladder cancer
  • Melanoma
  • Renal cell carcinoma
  • Basal cell carcinoma
  • Follicular lymphoma
  • Chronic lymphocytic leukaemia
  • Thyroid cancer
  • Prostate cancer
  • Testicular cancer
  • Ovarian cancer
  • Breast cancer
  • Male pattern baldness
  • Age-related Macular Degeneration (AMD)
  • Atopic Dermatitis
  • Psoriasis
  • Vitiligo
  • Glucose-6-phosphate dehydrogenase (G6PD) deficiency
  • Phenylketonuria
  • Type 1 diabetes
  • Type 2 diabetes
  • Hypothyroidism


  • Resilience
  • Learning capacity
  • Memory
  • Depression
  • Social connectivity
  • Focus
  • Planning
  • Emotional awareness
  • Non conscious negativity bias
  • Anxiety
  • Stress control
  • Empathy
  • ADHD
  • Sleep cycle
  • Sleep duration
  • Sleep depth
  • High altitude adaptation
  • Nicotine dependence
  • Addiction to alcohol
  • Alcohol flush reaction
  • BMI/Obesity
  • Caffeine consumption
  • Antioxidant capacity
  • Response to dietary fat
  • Muscle performance
  • Motivation to exercise
  • Bone mineral density
  • Peanut allergy
  • Lactose intolerance
  • PSA level
  • Male pattern baldness
  • Endometriosis
  • Premature menopause
  • Male pattern baldness
  • Age-related Macular Degeneration (AMD)
  • Atopic Dermatitis
  • Psoriasis
  • Vitiligo
  • Glucose-6-phosphate dehydrogenase (G6PD) deficiency
  • Phenylketonuria
  • Hair texture
  • Hair colour
  • Skin colour
  • Eye colour
  • Eyebrow thickness
  • Sunburn
  • Tanning
  • Freckling
  • Vitamin D, C, B9, B6, B12 levels
  • Polyunsaturated fatty acids (PUFA)
  • LDL
  • HDL
  • Homocysteine levels
  • Triglycerides
  • Blood pressure

Why choose MyDNA Gene Proactive ?

  • Early Screening for Chronic Conditions: Stay one step ahead by identifying potential health concerns early on.
  • Personalised Lifestyle Modifications: Tailor your nutrition and exercise routines based on your unique genetic profile.
  • Individualised Action Plan: Receive a customised action plan based on your genetic results, providing a roadmap for proactive health management.

Who should take MyDNA Gene Proactive ?

  • Those seeking early screening for health-related issues, including eyes, skin, hair, heart, liver, kidney function, hormonal profile, nutrition, fitness, gut health, cancer, psychiatry, immune system, etc.
  • Individuals desiring personalised nutrition and lifestyle modifications.
  • Those with a family history of chronic conditions.
  • Families planning for long-term health and well-being.
  • Proactive individuals invested in their own and their family's health.

How Do We Analyse?

Polygenic Risk Score

Based on Polygenic Risk Score (PRS), this report is generated. A polygenic risk score (PRS) estimates an individual’s genetic risk (predisposition) for a trait or condition. PRS takes the sum (aggregate) of SNPs to calculate an overall genetic risk for a particular condition.

How it works?

Order a Kit

Gather saliva samples.Make sure the cap is securely fastened

Document the sample And Reach us @ 040-49583100 to collect your samples

Lab Processing & Data Analysis

Report Generation

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Schedule your Genetic Counselling

References :
  1. Prakat Karki, Living with chronic diseases in India.; International Journal of Social Science and Humanities Research .; Vol. 7, Issue 1, pp: (17-21), Month: January - March 2019
  2. Wehby GL, Domingue BW, Wolinsky FD. Genetic Risks for Chronic Conditions: Implications for Long-term Wellbeing. J Gerontol A Biol Sci Med Sci. 2018 Mar 14;73(4):477-483