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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3570</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.SP178</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Gene Influencing in COVID-19 Infection, Disease Severity and its Pharmacotherapy&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Sarkar</surname><given-names>Sougata</given-names></name></contrib><contrib contrib-type="author"><name><surname>Dasgupta</surname><given-names>Shreyashi</given-names></name></contrib><contrib contrib-type="author"><name><surname>Srivastava</surname><given-names>Vartika</given-names></name></contrib><contrib contrib-type="author"><name><surname>Sahoo</surname><given-names>Satyabrata</given-names></name></contrib><contrib contrib-type="author"><name><surname>Tripathi</surname><given-names>Santanu</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>30</day><month>03</month><year>2021</year></pub-date><volume>rn</volume><issue>ch</issue><fpage>86</fpage><lpage>96</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Current pandemic COVID-19 has severely affected the world, having a mortality rate ranging from 1 to 10% which is different for many countries. The time interval from symptoms to clinical recovery is 6__ampersandsignndash;8 weeks and to death is 2 to 8 weeks. The increase in severity and fatality in COVID 19 is primarily due to the presence of comorbidities like cardiovascular disease, pre-existing lungs disease, hypertension, diabetes, obesity and cancer. As we already know that humans show the difference in drug responses because of their varied genetic make-up. Therefore, Population genomics gives an insight into the genetic characteristic of a population and it is critical in determining susceptibility, severity and natural protection against infectious diseases. Hence, this study was done to evaluate the population genetic makeup which is necessary to identify those who are at risk or protection from disease and develop genomics information, that would be useful in providing insight about COVID-19 disease severity or outcomes. Some of the proposed genetic gateways in COVID 19 pathogenesis are mentioned in this review that includes roles of ACE2 gene, HLA gene, Chromosome 3P21.31, ABO locus, genes responsible for cytokine storm, TLR-pathway, Fam ily Mediterranean fever and G6PD deficiency. This review also emphasises the current treatment available in COVID-19 like hydroxychloroquine, azithromycin, RNA polymerase inhibitors, interleukin inhibitors, antivirals, ivermectin, doxycycline and their pharmacogenomics viewpoint. Such Pharmacogenomic studies are very helpful for physicians to choose and give accurate first line therapy for COVID 19 patients.&#13;
</p></abstract><kwd-group><kwd>COVID 19</kwd><kwd> Pharmacogenomics</kwd><kwd> Population genomics</kwd><kwd> Genetic gateways</kwd><kwd> cytokine storm</kwd><kwd> Therapeutics in COVID-19</kwd></kwd-group></article-meta></front></article>
