ARCHAEOGENETICS AND HEALTH GEOGRAPHY OF DISEASE IN ASSESSING THE EFFECTS OF PANDEMICS

Keywords: Archaeogenetics, Cancer, COVID-19, Health Geography, Pandemics.

Abstract

Recent outbreaks of various deadliest diseases provide a histrionic example of the destruction and dread of epidemics, especially those brought on by newly discovered or remerging diseases. Most research on epidemic diseases is dominated by a focus on managing and preventing infections in living populations. Therefore, a systematic study is critically needed to mitigate the risk and impacts of pandemics before it hits globally in an unprecedented manner. In this regard, the historical study of epidemics, alongside the investigation of the health geography, adds temporal depth to our understanding of the causes and effects of diseases essential for making future predictions about how diseases may affect human biology and demography. This review summarizes some of the advancements in our knowledge of the genetic foundations of diseases, recent human changes, and long evolutionary history that can all contribute to understanding how and why people become vulnerable to epidemics. Analyzing the recent COVID-19 pandemic and Cancer data in this review, it has become evident that evolutionary genetics gradually increase our understanding of geographies of disease by combining the knowledge with the evolutionary history recorded in the human genomes. The increasing availability of diverse genetic information from different populations will help us define an individual's disease risk more precisely in the future.

JEL Classification Codes: C22, B15, N3, I12.

Author Biography

Hasan Mahmud Syfuddin

Assistant Professor, Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh

References

Ammerman, A. J., & Cavalli-Sforza, L. L. (1979). 12 - The Wave of Advance Model for the Spread of Agriculture in Europe11The research reported in this chapter was supported in part by grants from the N.I.H. (5 R01GM20467), N.S.F. (BNS76-15095), and E.R.D.A. (EY-76-03-0326). In C. Renfrew & K. L. Cooke (Eds.), Transformations (pp. 275-293): Academic Press.

Bongaarts, J. (2009). Human population growth and the demographic transition. Philos Trans R Soc Lond B Biol Sci, 364(1532), 2985-2990. https://doi.org/10.1098/rstb.2009.0137

Cavalli-Sforza, L. L., Cavalli-Sforza, L., Menozzi, P., & Piazza, A. (1994). The history and geography of human genes: Princeton university press.

Cleaveland, S., Haydon, D. T., & Taylor, L. (2007). Overviews of pathogen emergence: which pathogens emerge, when and why? Curr Top Microbiol Immunol, 315, 85-111. https://doi.org/10.1007/978-3-540-70962-6_5

Danaei, G., Vander Hoorn, S., Lopez, A. D., Murray, C. J., & Ezzati, M. (2005). Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet, 366(9499), 1784-1793. https://doi.org/ 10.1016/s0140-6736(05)67725-2

David, A. R., & Zimmerman, M. R. (2010). Cancer: an old disease, a new disease or something in between? Nature Reviews Cancer, 10(10), 728-733. https://doi.org/10.1038/nrc2914

Deng, J., Chen, H., Zhou, D., Zhang, J., Chen, Y., Liu, Q., . . . Zhao, K. (2017). Comparative genomic analysis of esophageal squamous cell carcinoma between Asian and Caucasian patient populations. Nat Commun, 8(1), 1533. https://doi.org/10.1038/s41467-017-01730-x

Deshpande, O., Batzoglou, S., Feldman, M. W., & Cavalli-Sforza, L. L. (2009). A serial founder effect model for human settlement out of Africa. Proc Biol Sci, 276(1655), 291-300. https://doi.org/10.1098/rspb.2008.0750

Ellinghaus, D., Degenhardt, F., Bujanda, L., Buti, M., Albillos, A., Invernizzi, P., . . . Karlsen, T. H. (2020). Genomewide Association Study of Severe Covid-19 with Respiratory Failure. N Engl J Med, 383(16), 1522-1534. https://doi.org/10.1056/NEJMoa2020283

Fort, J. (2015). Demic and cultural diffusion propagated the Neolithic transition across different regions of Europe. Journal of the Royal Society interface, 12(106), 20150166.

Goodwin, B. C., Rowe, A. K., Crawford-Williams, F., Baade, P., Chambers, S. K., Ralph, N., & Aitken, J. F. (2020). Geographical Disparities in Screening and Cancer-Related Health Behaviour. Int J Environ Res Public Health, 17(4). https://doi.org/10.3390/ijerph17041246

Khani, F., Mosquera, J. M., Park, K., Blattner, M., O'Reilly, C., MacDonald, T. Y., . . . Robinson, B. D. (2014). Evidence for molecular differences in prostate cancer between African American and Caucasian men. Clin Cancer Res, 20(18), 4925-4934. https://doi.org/10.1158/1078-0432.Ccr-13-2265

Luo, Y. (2020). Neanderthal DNA highlights complexity of COVID risk factors. Nature, 587(7835), 552-553. https://doi.org/10.1038/d41586-020-02957-3

McKeown, R. E. (2009). The Epidemiologic Transition: Changing Patterns of Mortality and Population Dynamics. Am J Lifestyle Med, 3(1 Suppl), 19s-26s. https://doi.org/10.1177/1559827609335350

Møller, H., Coupland, V. H., Tataru, D., Peake, M. D., Mellemgaard, A., Round, T., . . . Spicer, J. (2018). Geographical variations in the use of cancer treatments are associated with survival of lung cancer patients. Thorax, 73(6), 530-537. https://doi.org/10.1136/thoraxjnl-2017-210710

Morens, D. M., Folkers, G. K., & Fauci, A. S. (2004). The challenge of emerging and re-emerging infectious diseases. Nature, 430(6996), 242-249. https://doi.org/10.1038/nature02759

Morse, S. S. (1995). Factors in the emergence of infectious diseases. Emerg Infect Dis, 1(1), 7-15. https://doi.org/10.3201/eid0101.950102

Pickrell, J. K., & Reich, D. (2014). Toward a new history and geography of human genes informed by ancient DNA. Trends Genet, 30(9), 377-389. https://doi.org/10.1016/j.tig.2014.07.007

Renfrew, C., & Bahn, P. (2012). Archaeology: theories, methods and practice: Thames and Hudson.

Siegel, R. L., Miller, K. D., & Jemal, A. (2017). Cancer Statistics, 2017. CA Cancer J Clin, 67(1), 7-30. https://doi.org/10.3322/caac.21387

Szabo, C. I., & King, M. C. (1997). Population genetics of BRCA1 and BRCA2. Am J Hum Genet, 60(5), 1013-1020.

Tan, D. S., Mok, T. S., & Rebbeck, T. R. (2016). Cancer Genomics: Diversity and Disparity Across Ethnicity and Geography. J Clin Oncol, 34(1), 91-101. https://doi.org/10.1200/jco.2015.62.0096

Vetter, P., Vu, D. L., L'Huillier, A. G., Schibler, M., Kaiser, L., & Jacquerioz, F. (2020). Clinical features of covid-19. Bmj, 369, m1470. https://doi.org/10.1136/bmj.m1470

WHO. (2022). Retrieved from https://covid19.who.int

WHO. (2022). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cancer

Wootton, J. T., Young, B. E., & Winkler, D. W. (1991). ECOLOGICAL VERSUS EVOLUTIONARY HYPOTHESES: DEMOGRAPHIC STASIS AND THE MURRAY-NOLAN CLUTCH SIZE EQUATION. Evolution, 45(8), 1947-1950. https://doi.org/10.1111/j.1558-5646.1991.tb02699.x

Zeberg, H. (2022). The major genetic risk factor for severe COVID-19 is associated with protection against HIV. Proceedings of the National Academy of Sciences, 119(9), e2116435119. https://doi.org/10.1073/pnas.2116435119

Zeberg, H., & Paabo, S. (2020). The major genetic risk factor for severe COVID-19 is inherited from Neanderthals. Nature, 587(7835), 610-612. https://doi.org/10.1038/s41586-020-2818-3

Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., . . . Cao, B. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet, 395(10229), 1054-1062. https://doi.org/10.1016/s0140-6736(20)30566-3

Published
2022-10-02
How to Cite
Syfuddin, H. M. (2022). ARCHAEOGENETICS AND HEALTH GEOGRAPHY OF DISEASE IN ASSESSING THE EFFECTS OF PANDEMICS. Bangladesh Journal of Multidisciplinary Scientific Research, 5(1), 35-38. https://doi.org/10.46281/bjmsr.v5i1.1801
Section
Research Paper/Theoretical Paper/Review Paper/Short Communication Paper