Health and Me

Aarushi Bhadury

Beyond Looks: How Technology Is Revealing the Health Traits You Inherit

Genes not just shape our looks but also hold our health clues. Today, technology powered by genomics and data analytics is decoding these hidden health patterns, translating family history into actionable foresight. This shift has marked the rise of predictive, personalized healthcare, where prevention is the main goal and treatment has become truly tailored. This marks a quiet but strategic revolution in healthcare! 

For India, a hotspot for lifestyle diseases, this transformative shift would be immensely helpful. As per the Indian Council of Medical Research, 1 in 4 may develop any of the lifestyle diseases, like hypertension or diabetes, in their lifetime. Here, genomic insights would help to identify individuals who are at higher risk, thus enabling targeted interventions even before the disease sets in. Moreover, powered by artificial intelligence and big data, genome sequencing is now capable of reading the entire genetic code of a person faster than ever before. Considering the advantage of predictive healthcare and the indispensable role of genome sequencing, the government-backed Genome India Project was launched in 2020. Additionally, many Indian start-ups have joined the field and are leading the revolution.

Various biotechnology firms and diagnostic labs are offering full-spectrum testing from whole-exome sequencing and whole-genome sequencing to targeted gene panels. These are powered by proprietary algorithms and significantly vast variant databases. The outcome is tremendous as it can identify disease causing mutations, inherited risk factors with remarkable accuracy, and even drug response markers. 

Not just individual genes but thousands of genetic variants can be analysed simultaneously to predict the rise of polygenic risk scores. This model has already been applied across various diagnostic labs for predicting complex diseases such as certain cancers, heart disease, and even diabetes. It is expected that by 2030, the PRS market will exceed $3 million, signalling the mainstreaming of precision health tools.

Across multiple specialties, genomic insights are now driving tangible benefits: 

Cardiology: Predispositions to conditions like arrhythmia, familiar hypercholesterolemia can be identified long before the symptoms appears through genetic testing. This would allow offering preventive interventions to those high-risk individuals. 

Oncology: The Role of genes in cancer development is well studied and documented. Therefore, hereditary cancer testing that covers BRCA1/2 and other multi-gene panels will support risk stratification and the development of informed surveillance strategies. Cascade testing, which includes screening family members of affected patients, not just aids in earlier diagnoses, but also in improved survival outcomes. 

Pharmacogenomics: Another interesting impact of genetic variations is that it also influences how patients metabolize medications. If a clinician has this information, then they would be able to prescribe a personalized prescription, reducing the adverse drug reactions, a problem that costs the U.S. healthcare system nearly $30 billion annually. 

Neurology and Psychiatry: Genetic profiling in the treatment of depression and APOE genotyping for Alzheimer’s risk are leading the way for early interventions and customised care. 

In fact, the cumulative effect is profound: targeted therapy, fewer side effects, and more informed decisions across the continuum of care. 

Navigating Risks, Ethics, and Regulation 

As genetic data is becoming valuable and genomic testing is becoming mainstream to combat diseases, healthcare organizations must take the responsibility to protect the privacy of the data while following the ethical principles deliberately. Compliance frameworks like the Genetic Information Non-discrimination Act (GINA) in the U.S. and HIPAA privacy standards set the platform for responsible use of data. Digital Personal Data Protection Act (2023) in India is available, but a specific gene data safeguarding policy is yet evolving. 

Other aspects to consider include informed consent and genetic counselling for responsible implementation. Patients must be aware of the test being done, how it would benefit them, and their family members. Further, genetic databases are key targets for cyberattacks. Thus, enterprise-grade encryption and data governance are significantly essential. In turn, it will ensure that the benefits of genomic medicine also reach the underserved and diverse populations. 

The 21st-century medicine is driven by the fusion of biotechnology and big data, which has positioned genomics at the core. Owing to the advancements in the field of artificial intelligence and machine learning, it has been possible to coordinate AI models with genetic profiles, common lifestyle data, environmental factors, and electronic health records. Cumulatively, all these are delivering holistic risk predictions. It won’t be surprising if, in the future, the health records include more than blood test and X-ray data.

This development would be really a book for a country like India with diverse genes meet diverse lifestyles. Predictive healthcare would not only help to reduce the burden of chronic diseases but could also pave the pathway to improve healthy lifespans while making wellness truly proactive. Thus, the genomic revolution has made the invisible visible. Organisations embracing this transformation will play a vital role in patient outcomes. They would also lead and define the next era of healthcare- predictive, preventive, and personalised. 

Health Conditions A-Z

health

genomic medicine india

predictive healthcare

genetic testing benefits

precision health insights

genome sequencing technology

personalized healthcare india

polygenic risk scores

biotechnology and big data

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Genes not just shape our looks but also hold our health clues. Today, technology powered by genomics and data analytics is decoding these hidden health patterns, translating family history into actionable foresight. This shift has marked the rise of predictive, personalized healthcare, where prevention is the main goal and treatment has become truly tailored. This marks a quiet but strategic revolution in healthcare! For India, a hotspot for lifestyle diseases, this transformative shift would be immensely helpful. As per the Indian Council of Medical Research, 1 in 4 may develop any of the lifestyle diseases, like hypertension or diabetes, in their lifetime. Here, genomic insights would help to identify individuals who are at higher risk, thus enabling targeted interventions even before the disease sets in. Moreover, powered by artificial intelligence and big data, genome sequencing is now capable of reading the entire genetic code of a person faster than ever before. Considering the advantage of predictive healthcare and the indispensable role of genome sequencing, the government-backed Genome India Project was launched in 2020. Additionally, many Indian start-ups have joined the field and are leading the revolution. Various biotechnology firms and diagnostic labs are offering full-spectrum testing from whole-exome sequencing and whole-genome sequencing to targeted gene panels. These are powered by proprietary algorithms and significantly vast variant databases. The outcome is tremendous as it can identify disease causing mutations, inherited risk factors with remarkable accuracy, and even drug response markers. Not just individual genes but thousands of genetic variants can be analysed simultaneously to predict the rise of polygenic risk scores. This model has already been applied across various diagnostic labs for predicting complex diseases such as certain cancers, heart disease, and even diabetes. It is expected that by 2030, the PRS market will exceed $3 million, signalling the mainstreaming of precision health tools. Clinical Value and Real-World Impact Across multiple specialties, genomic insights are now driving tangible benefits: Cardiology: Predispositions to conditions like arrhythmia, familiar hypercholesterolemia can be identified long before the symptoms appears through genetic testing. This would allow offering preventive interventions to those high-risk individuals. Oncology: The Role of genes in cancer development is well studied and documented. Therefore, hereditary cancer testing that covers BRCA1/2 and other multi-gene panels will support risk stratification and the development of informed surveillance strategies. Cascade testing, which includes screening family members of affected patients, not just aids in earlier diagnoses, but also in improved survival outcomes. Pharmacogenomics: Another interesting impact of genetic variations is that it also influences how patients metabolize medications. If a clinician has this information, then they would be able to prescribe a personalized prescription, reducing the adverse drug reactions, a problem that costs the U.S. healthcare system nearly $30 billion annually. Neurology and Psychiatry: Genetic profiling in the treatment of depression and APOE genotyping for Alzheimer’s risk are leading the way for early interventions and customised care. In fact, the cumulative effect is profound: targeted therapy, fewer side effects, and more informed decisions across the continuum of care. Navigating Risks, Ethics, and Regulation As genetic data is becoming valuable and genomic testing is becoming mainstream to combat diseases, healthcare organizations must take the responsibility to protect the privacy of the data while following the ethical principles deliberately. Compliance frameworks like the Genetic Information Non-discrimination Act (GINA) in the U.S. and HIPAA privacy standards set the platform for responsible use of data. Digital Personal Data Protection Act (2023) in India is available, but a specific gene data safeguarding policy is yet evolving. Other aspects to consider include informed consent and genetic counselling for responsible implementation. Patients must be aware of the test being done, how it would benefit them, and their family members. Further, genetic databases are key targets for cyberattacks. Thus, enterprise-grade encryption and data governance are significantly essential. In turn, it will ensure that the benefits of genomic medicine also reach the underserved and diverse populations. The Road Ahead The 21st-century medicine is driven by the fusion of biotechnology and big data, which has positioned genomics at the core. Owing to the advancements in the field of artificial intelligence and machine learning, it has been possible to coordinate AI models with genetic profiles, common lifestyle data, environmental factors, and electronic health records. Cumulatively, all these are delivering holistic risk predictions. It won’t be surprising if, in the future, the health records include more than blood test and X-ray data. This development would be really a book for a country like India with diverse genes meet diverse lifestyles. Predictive healthcare would not only help to reduce the burden of chronic diseases but could also pave the pathway to improve healthy lifespans while making wellness truly proactive. Thus, the genomic revolution has made the invisible visible. Organisations embracing this transformation will play a vital role in patient outcomes. They would also lead and define the next era of healthcare- predictive, preventive, and personalised.  