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. 2021 Mar 19;12:620043. doi: 10.3389/fphar.2021.620043

The Urgent Need for Management of Biological Samples and Data Accessibility in Latin America

Rodrigo José Vargas 1,2,3,*, Oscar M Cobar 1,3,4
PMCID: PMC8044957  PMID: 33867983

Introduction

Elucidation of the human genome has increased understanding of human body responses to drug administration (Oprea et al., 2018; Nabirotchkin et al., 2020). Likewise, recent studies on human genetic diversity have shown that it is still necessary to delve into individual genetic differences, the adverse effects associated with drug metabolism, drug response variability with the diet, and even the human microbiome (Sharma et al., 2019). Access to biological samples in Latin America is essential to further understanding the presence of genes that may be associated with adverse effects and pharmacological interactions due to their diversity of populations and in anticipating the effects of new treatments.

The Coronavirus disease 2019 (COVID-19) pandemic has reinforced the urgent need to study the genetic differences among people with mild symptoms and those with complex responses to the disease (Ovsyannikova et al., 2020). During the pandemic, different drugs have been studied in the search for therapeutic alternatives to combat it, mainly due to the “Solidarity Trial” and “Repurposing Drugs” initiatives of the World Health Organization (OMS) (Harrison, 2020). Similarly, new drugs for actual and future diseases can be designed by using pharmacogenetic information. As an example, due to the diversity of therapeutic action mechanisms of a drug, it is necessary to in parallel study human cell susceptibility to the entry of SARS-CoV-2 in genetic world populations. Pharmacogenetics studies of their allele variants are essential. This approach is imperative in enabling national health systems to make informed decisions about the therapeutic strategies used, especially in countries with multiple ethnic groups.

Examples that illustrate the importance of understanding therapeutic effectiveness responses in target groups include the premature administration of hydroxychloroquine based on affect glycosylation of angiotensin converting enzyme-2, without information on genetic variability (Ferner and Aronson, 2020) and remdesivir administration (Beigel et al., 2020). Research on ethnic group pharmacogenetics in Latin America is still scarce (Sosa-Macías et al., 2016; Leitão et al., 2020), but there is evidence of pharmacogenetic differences (Suarez-Kurtz and Parra, 2018). For example, Mestizo populations are not considered a unique group for these types of studies, since miscegenation varies in each Latin American country (Botton et al., 2019).The COVID-19 pandemic has shown us that data and access to pharmacogenetic information are required for making clinical decisions in a prioritized and sometimes urgent ways.

The reservoirs of genetic material in biobanks in the United Kingdom (McInnes and Altman, 2020) and even in Africa (Matimba et al., 2008), allow researchers to quickly access information on the allelic distributions of important pharmacogenetic markers. However, in Latin America, biobanks for pharmacogenetic research purposes have had only slight development. The bioethical and legal aspects must be considered, and access to biomedical sample information is necessary in a region with high ethnical diversity and little-studied ancestral Amerindian populations.

Biobanks

Biobanks can hold genetic data for a significant percentage of an entire population (Malsagova et al., 2020). In Estonia, e.g., genetic information on about 5% of the adult population can be found in a DNA bank (Reisberg et al., 2019). Additionally, biobanks contribute to reducing the cost of pharmacogenetic studies (Huttin and Liebman, 2013) avoiding the sampling of the population of interest in each study, also allowing a collaborative approach. In Europe, biobanks like one in Poland, have used different management models, preserving essential fundamental information for the benefit of public health (Sak et al., 2012). Moreover, biobanks are very useful for establishing pharmacogenetic relationships for research drug interactions with genes identified in a population (Muller et al., 2020; Rollinson et al., 2020).

Bioethics and Legal Aspects

There are ethical dilemmas involved with asking a donor to provide unique informed consent. This has, however, been improved with the development of the model of dynamic consent (Steinsbekk et al., 2013). Ethics committees play a key role in the ethical debates concerning approval of donations to biobanks and access to the stored genetic material (Hansson, 2009). A legal framework is also required for the use of biobank samples (Helgesson et al., 2007). Recently, legal and ethical issues have focused on sample ownership and access, donor protection, and long-term storage of biological samples (Paskal et al., 2018; Facca et al., 2020).

Conclusion

Due to high population diversity, Latin America faces the challenge of addressing genetic variability in studies to improve pharmacological responses to therapeutics for diseases. The creation of biobanks, their strengthening, and collaboration among them, would be a fundamental contribution to obtain pharmacogenetic information and efficient therapeutic responses in Latin America.

Author Contributions

RV and OC designed and drafted the manuscript. Both authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Beigel J. H., Tomashek K. M., Dodd L. E., Mehta A. K., Zingman B. S., Kalil A. C., et al. (2020). Remdesivir for the treatment of covid-19—final report. New Engl. J. Med. 0 (0). 10.1056/NEJMoa2007764 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Botton M. R., Campos K. C., Duconge J., Scott S. A. (2019). “Chapter 12-pharmacogenomics in Latin American populations,” in Pharmacogenomics. 2nd Edn, Editors Lam E. Y. W. F., Scott S. A. (Academic Press; ), 329–368. [Google Scholar]
  3. Facca D., Smith M., Shelley J., Lizotte D., Donelle L. (2020). Exploring the ethical issues in research using digital data collection strategies with minors: a scoping review. PLoS One 15 (8), e0237875. 10.1371/journal.pone.0237875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Ferner R. E., Aronson J. K. (2020). Chloroquine and hydroxychloroquine in covid-19. BMJ 369, m1432. 10.1136/bmj.m1432 [DOI] [PubMed] [Google Scholar]
  5. Hansson M. G. (2009). Ethics and biobanks. Br. J. Cancer 100 (1), 8–12. 10.1038/sj.bjc.6604795 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Harrison Ch. (2020). Coronavirus puts drug repurposing on the fast track. Nat. Biotechnol. 38 (4), 379–391. 10.1038/d41587-020-00003-1 [DOI] [PubMed] [Google Scholar]
  7. Helgesson G., Dillner J., Carlson J., Bartram C. R., Hansson M. G. (2007). Ethical framework for previously collected biobank samples. Nat. Biotechnol. 25 (9), 973–976. 10.1038/nbt0907-973b [DOI] [PubMed] [Google Scholar]
  8. Huttin C. C., Liebman M. N. (2013). The economics of biobanking and pharmacogenetics databasing. Technol. Health Care 21 (2), 183–190. 10.3233/THC-130729 [DOI] [PubMed] [Google Scholar]
  9. Leitão L. P., Souza T. P., Rodrigues J. C., Fernandes M. R., Santos S., Santos N. P. (2020). The metabolization profile of the CYP2D6 gene in amerindian populations: a review. Genes 11 (3), 262. 10.3390/genes11030262 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Malsagova K., Kopylov A., Stepanov A., Butlova T., Sinitsyna A., Izotov A., et al. (2020). Biobanks-A platform for scientific and biomedical research. Diagnostics 10, 485. 10.3390/diagnostics10070485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Matimba A., Oluka M. N., Ebeshi B. U., Sayi J., Bolaji O. O., Guantai A. N., et al. (2008). Establishment of a biobank and pharmacogenetics database of African populations. Eur. J. Hum. Genet. 16 (7), 780–783. 10.1038/ejhg.2008.49 [DOI] [PubMed] [Google Scholar]
  12. McInnes G., Altman R. B. (2020). Drug response pharmacogenetics for 200,000 UK biobank participants. bioRxiv. [Preprint]. 10.1101/2020.08.09.243311v1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Muller H., Dagher G., Loibner M., Stumptner C., Kungl P., Zatloukal K. (2020). Biobanks for life sciences and personalized medicine. importance of standarization, biosafety, biosecurity and data management. Curr. Opin. Biotechnol. 65, 45–51. 10.1016/j.copbio.2019.12.004 [DOI] [PubMed] [Google Scholar]
  14. Nabirotchkin S., Pelufo A., Rinaudo Ph., Yu J., Hajj R., Cohen D. (2020). Next-generation drug repurposing using human genetics and network biology. Curr. Opin. Pharmacol. 51, 78–92. 10.1016/j.coph.2019.12.004 [DOI] [PubMed] [Google Scholar]
  15. Oprea T. I., Bologa C. G., Brunak S., Campbell A., Gan G. N., Gaulton A., et al. (2018). Unexplored therapeutic opportunities in the human genome. Nat. Rev. Drug Discov. 17 (5), 317–332. 10.1038/nrd.2018.14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Ovsyannikova I. G., Haralambieva I. H., Crooke S. N., Poland G. A., Kennedy R. B. (2020). The role of host genetics in the immune response to SARS‐CoV‐2 and COVID‐19 susceptibility and severity. Immunological Rev. 296 (1), 205–219. 10.1111/imr.12897 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Paskal W., Paskal A. M., Dębski T., Gryziak M., Jaworowski J. (2018). Aspects of modern biobank activity—comprehensive review. Pathol. Oncol. Res. 24 (4), 771–785. 10.1007/s12253-018-0418-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Reisberg S., Krebs K., Lepamets M., Kals M., Mägi R., Metsalu K., et al. (2019). Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions. Genet. Med. 21 (6), 1345–1354. 10.1038/s41436-018-0337-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Rollinson V., Turner R., Pirmohamed M. (2020). Pharmacogenomics for primary care: an overview. Genes 11 (11), 1337. 10.3390/genes11111337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Sak J., Pawlikowski J., Goniewicz M., Witt M. (2012). Population biobanking in selected European countries and proposed model for a polish national DNA bank. J. Appl. Genet. 53 (2), 159–165. 10.1007/s13353-012-0082-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Sharma A., Buschmann M. M., Gilbert J. A. (2019). Pharmacomicrobiomics: the holy grail to variability in drug response? Clin. Pharmacol. Ther. 106 (2), 317–328. 10.1002/cpt.1437 [DOI] [PubMed] [Google Scholar]
  22. Sosa-Macías M., Teran E., Waters W., Fors M. M., Altamirano C., Jung-Cook H., et al. (2016). Pharmacogenetics and ethnicity: relevance for clinical implementation, clinical trials, pharmacovigilance and drug regulation in Latin America. Pharmacogenomics 17 (16), 1741–1747. 10.2217/pgs-2016-0153 [DOI] [PubMed] [Google Scholar]
  23. Steinsbekk K. S., Kåre Myskja B., Solberg B. (2013). Broad consent versus dynamic consent in biobank research: is passive participation an ethical problem? Eur. J. Hum. Genet. 21 (9), 897–902. 10.1038/ejhg.2012.282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Suarez-Kurtz G., Parra E. J. (2018). “Chapter six—population diversity in pharmacogenetics: a Latin American perspective,” in Advances in pharmacology. Editors Brøsen En. K., Damkier P. (Academic Press; ), Vol. 83, 133–154. [DOI] [PubMed] [Google Scholar]

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