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Since the completion of the Human Genome Project in the early 2000s, the field of genetics and genomics has rapidly expanded. As connections between genotype and phenotype were elucidated, companies arose offering to interface directly with consumers through the internet to give them information about their genomes. Because the industry and science developed rapidly, regulations around direct-to-consumer (DTC) testing developed as a reactionary mechanism. While this led to a piece-meal approach towards the regulation of a new industry, the resulting laws around the world are reflective of differing values and views of genetic information. As the world moves into the era of precision medicine, questions arise about what type of information should be released to patients, timing, and in what contexts. Laws around DTC testing have attempted to answer these questions outside of the healthcare setting and can provide perspective into the benefits and drawbacks of different approaches.

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At one end of the regulatory spectrum lies France, the strictest country in Europe with regard to the regulation of DTC genetic tests (1). They have imposed an essential ban on genetic testing unless ordered directly by a physician (1). After a revision of the French Bioethics Law in 2011, a provision was put in place imposing a fine of 3,750 euros for those attempting to analyze their own genetic information through the purchase of tests (2). The French attitude maintains that genetic information is an element of the human body, but that it cannot be owned or take on monetary value (3).

Just below France in terms of stringency lies Korea. A revision to the Korean Bioethics and Safety Act in 2017 allowed for a subset of 12 phenotypes and 46 genes to be assessed by DTC tests (4). While this list is slowly expanding as individual companies receive approval for predictive tests for certain chronic diseases and cancers, progress has been slow and the government has been careful to limit what parts of their DNA citizens can access.

The regulatory environment in the United States sits somewhere in the middle. Many of the most well known DTC companies, such as 23andMe, were founded in the US and were essentially unregulated until 2010. Conflicts between testing companies and the FDA began when letters were sent to the largest companies stating that their tests fell into the category of “medical devices” that needed to be submitted to the FDA for approval (5). Currently, the FDA regulates tests for “moderate to high-risk medical purposes” (6). However, 23andMe and others will also return raw data to consumers, which can then be analyzed by software accessible via the internet, effectively circumventing FDA regulation (7). Also, the FDA does not currently regulate tests for what they consider “low risk medical” and “non-medical purposes”. Attitudes in the US center around themes of autonomy and property rights, with genetic information being something that can be bought and sold (3).

On the far end of the spectrum lie countries with very loose oversight of DTC genetic testing. In China, no specific legislation has been created to oversee DTC companies; only existing laws focused around genetic resource security apply (8). This has lead to criticism about the existence of holes in consumer protection, especially with respect to the treatment of health information and privacy (8). The situation is similar in South Africa, as well as across the African continent as a whole, where there is a lack of guidance and regulation surrounding the tests (9). Although this approach emphasizes the individual’s autonomy in exploring their genetics, it doesn’t hold companies accountable in areas such as data privacy and test accuracy.

Because the rise of the DTC genetic testing landscape has preceded the widespread application of precision medicine in healthcare, the different regulatory approaches that have been taken can be used as a blueprint. Each provides its own set of benefits and drawbacks with respect to the extent individuals should be allowed access to information about their genome and their future. While widespread integration of genetic data into the healthcare sphere will come with its own set of challenges, there is much to be learned from the initial philosophies that have emerged.


Edited by: Danika Dai

Graphic Designed by: Simone Nabors


References:

  1. Kalokairinou L, Howard HC, Slokenberga S, et al. Legislation of direct-to-consumer genetic testing in Europe: a fragmented regulatory landscape. J Community Genet. 2018;9(2):117-132. doi:10.1007/s12687-017-0344-2.

  2. LOI n° 2021-1017 du 2 août 2021 relative à la bioéthique . Legifrance.gouv.fr. https://www.legifrance.gouv.fr/jorf/id/JORFTEXT000024323102/.

  3. Stoeklé HC, Forster N, Turrini M, et al. La propriété des données génétiques - De la donnée à l’information [The ownership of genetic data: from data to information]. Med Sci (Paris). 2018;34(12):1100-1104. doi:10.1051/medsci/2018291.

  4. Kim J. W. (2019). Direct-to-consumer genetic testing. Genomics & informatics, 17(3), e34. https://doi.org/10.5808/GI.2019.17.3.e34.

  5. Allyse MA, Robinson DH, Ferber MJ, Sharp RR. Direct-to-Consumer Testing 2.0: Emerging Models of Direct-to-Consumer Genetic Testing. Mayo Clin Proc. 2018;93(1):113-120. doi:10.1016/j.mayocp.2017.11.00.

  6. Center for Drug Evaluation and Research. Direct-to-consumer tests. U.S. Food and Drug Administration. https://www.fda.gov/medical-devices/in-vitro-diagnostics/direct- consumer-tests.

  7. Jautrou H. Les tests génétiques en libre accès - Régulation par le marché, ou régulation médicale ? [Direct-to-consumer genetic testing: a regulation by the market, or a medical regulation?]. Med Sci (Paris). 2020;36(2):153-159. doi:10.1051/medsci/2019264.

  8. Du, L., & Wang, M. (2020). Genetic Privacy and Data Protection: A Review of Chinese Direct-to-Consumer Genetic Test Services. Frontiers in genetics, 11, 416. https://doi.org/10.3389/fgene.2020.00416.

  9. Dandara, C., Greenberg, J., Lambie, L., Lombard, Z., Naicker, T., Ramesar, R., Ramsay, M., Roberts, L., Theron, M., Venter, P., & Bardien-Kruger, S. (2013). Direct-to-consumer genetic testing: To test or not to test, that is the question. South African Medical Journal, 103(8), 510-512. doi:10.7196/SAMJ.7049.


 
 
 
  • Nikhil Chaudhry
  • Mar 21, 2022
  • 3 min read

Precision medicine has the potential to revolutionize the way we think about public health and the implications of policies attempting to mitigate a variety of health issues. Precision medicine emphasizes individual differences in genetic and environmental risk to treat disease, incorporating new technological developments such as Big Data and other information systems. By definition, public health and health policy focus on population-level risk factors and determinants for poor health outcomes. Thus, it seems that these ideas are contradictory, but they intersect in many ways and open the future for better health policy and treatments for disease (1).

With the advent of data collected by individuals conducting precision medicine, public health and precision medicine converge into “precision public health,” where large datasets coming from populations are analyzed to develop effective policy and treatment strategies (2). This level of analysis is unheard of, but extremely valuable in the creation of health policy. Data analysis helps policymakers determine where and how to address social determinants of health within the population. While using Big Data will inevitably come with challenges, incorporating these measures into policy has the potential to inform many new initiatives focused on various subpopulations experiencing poor health outcomes.

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Precision medicine within public health was a large focus during the COVID-19 pandemic, where certain zip codes or minority communities were experiencing disproportionately high infection rates with low access to COVID tests or vaccines. Epidemiologists encourage policymakers and leaders to “think local” in order to successfully target the individuals that need the most resources from the government to combat COVID-19 in their communities (3). Given what we know about precision medicine currently, there are many applications of the field to improve health policies related to COVID-19. For instance, testing and vaccine clinics can be established in zip codes with the greatest infection rates and research funding could be devoted to the comorbidity populations with the greatest risk of complications from COVID-19 infection.

Long-term health policies can also use precision medicine. For instance, cancer research has exemplified the crossover between individualized medical care and treating an entire population. Cancer has many individual causes, requiring the use of precision medicine, and its burden of disease is growing exponentially. By focusing on more precise causes of cancer in an individual, nation-wide cancer screening programs can be instituted to potentially detect the same type of cancer in other individuals and begin treatment as soon as possible For example, cervical cancer screening programs are being conducted in Australia caused by HPV, categorizing participants into different groups based on specific genes related to cancer (4). Essentially, this approach involves using individualized data to benefit an entire population’s health. This strategy can be applied to a variety of other diverse health issues plaguing a population, such as obesity or birth defects.

With these positive outcomes in mind, there are many potential challenges that may come with transitioning the fields of health policy and healthcare as a whole to a more individualized focus. Many countries may not have the infrastructure or resources to work with individual data and cater approaches to each patient. Many nations struggle with an extremely low number of medical professionals per capita, which can inhibit these policy implications from improving health (5). In the future, the fields of global and public health must work to address these large issues, as the under-resourced countries would benefit significantly from precision medicine. However, precision medicine has the potential to revolutionize public health and health policy in the future. It is important for policymakers and governmental leaders to consider precision medicine when writing policy to ensure that we continue to advocate for and treat the populations that need it most.


Edited by: Sara Be

Graphic Designed by: Heiley Tai


References:

 
 
 
  • Kidest Wolde
  • Mar 13, 2022
  • 3 min read

An emergent issue for healthcare systems is the rapidly increasing number of neurodegenerative diseases along with the exponentially increasing aging population. Advancements in biomedical research and informatics have been extremely important for understanding how genes, epigenetic influences, aging, diet, drugs, and the environment affect health and disease. One such development that may provide a crucial understanding of the brain and neurodegenerative diseases is precision medicine. Precision medicine is a form of medicine that uses information about a person’s genes or proteins to prevent, diagnose, and treat disease. Precision medicine, thus, supports a customized healthcare system, tailored to each patient instead of a one-solution-treats-all approach.

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One result of the growing aging population is the increased number of neurodegenerative disorders, and, thus, a higher mortality rate. As a result, hospitalizations, care assistance, and costs for treatment become a larger problem for patients and doctors. The average duration of these neurodegenerative disorders ranges from 2-10 years, during which special care and therapies are required for patients. This creates an overwhelming burden for the patient and the patient’s family. The overall cost for treating patients suffering from neurodegenerative diseases is approximately $130 billion each year [3]. This becomes an even more pertinent concern as the population of the aging population increases. To date, about 16% of people are at least 65 years old in Europe, and this statistic is projected to increase to 25% (9% increase) by 2030, suggesting an increase in cases of neurodegenerative disorders. These disorders include a large number of age-related conditions characterized by loss or dysfunction of neurons in specific areas of the brain and/or spinal cord. Such conditions tend to result in cognitive impairments, a decline in speech, and mobility issues. Among these conditions, dementias (including Parkinson’s Disease and Alzheimer’s Disease) are most common, affecting approximately 7 million people in Europe. Even more alarming, this statistic is projected to double by 2040 [3].

In an effort to improve the treatment and prevention of neurodegenerative disorders, precision medicine may serve as a new—and even better—method of treatment. Neurodegenerative pathologies do not always reveal similarities from one patient to another—even in patients with the same disease. Thus, it may not be beneficial to treat patients with one drug that treats all symptoms of a particular condition, especially if those symptoms are not affecting the individual [1]. In this way, precision medicine could serve as a useful tool to identify preclinical stages of disorders, make accurate diagnoses, and provide optimal treatments tailored to the patient rather than traditional treatments used at later stages of treatments [4].

Precision medicine also provides a major advantage when looking at the accumulation of knowledge. Researchers and doctors can learn from studying and targeting neurodegenerative disorders on a genetic basis. Precision medicine poses the possibility of creating a web-based network for neurodegenerative disorders that is critical for creating effective medicines for patients across specialized centers [5]. A terrific and successful example of a multi-disciplinary, web-based site is the Italian IRCSS Network of Neuroscience and Neurorehabilitation [2]. The main goal of this site is to focus on standardizing and enhancing patient care in the health system and creating therapeutic methods to treat neurodegenerative disorders.

The problem of neurodegenerative diseases becomes even more emergent as the population ages. Furthermore, the brain is an intricate organ with complex processes and, thus, it gives rise to complicated neurologic disorders. However, precision medicine is a promising tool that we should adopt in order to precisely assess and manage these disorders. Though there is still much to learn about precision, its implications could revolutionize treatment for neurodegenerative disorders.


Edited by: Priya Meesa

Graphic Designed by: Kidest Wolde


References:

[1] Ashley, Euan A. "Towards precision medicine." Nature Reviews Genetics 17.9 (2016): 507-\

522.

[2] Kovacs, Gabor G. "Molecular pathological classification of neurodegenerative diseases:

turning towards precision medicine." International journal of molecular sciences 17.2

(2016): 189.

[3] Strafella, Claudia, et al. "Application of precision medicine in neurodegenerative

diseases." Frontiers in neurology (2018): 701.

[4] Tan, Lin, et al. "Toward precision medicine in neurological diseases." Annals of translational

medicine 4.6 (2016).

[5] Twilt, Marinka. "Precision medicine: the new era in medicine." EBioMedicine 4 (2016): 24

25.


 
 
 

DMEJ

   Duke Medical Ethics Journal   

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