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        <datestamp>2025-08-27T07:46:19Z</datestamp>
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          <dc:title>Analysis of the secondary African genomic data to identify allele frequencies in genetic determinants associated with varying outcomes of COVID-19 in other population groups</dc:title>
          <dc:creator>Fatima Barmania (22118269)</dc:creator>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Bioinformatics and computational biology not elsewhere classified</dc:subject>
          <dc:subject>Other health sciences not elsewhere classified</dc:subject>
          <dc:subject>COVID-19</dc:subject>
          <dc:subject>Bioinformatics</dc:subject>
          <dc:subject>Allele frequency</dc:subject>
          <dc:subject>SARS-CoV-2</dc:subject>
          <dc:subject>African population</dc:subject>
          <dc:subject>Bioinformatic pipeline analysis</dc:subject>
          <dc:subject>Genetic variation</dc:subject>
          <dc:subject>Genetics and genomics/medical genetics</dc:subject>
          <dc:subject>Functional prediction</dc:subject>
          <dc:subject>SDG 10 Reduced inequalities</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset listed here contains supplementary data supporting Chapter 3, 4, 5 and 6 of the thesis "Analysis of variants in host genes associated with COVID-19 outcomes in the African population." The data includes raw genotype calls, processed summary tables, and supporting analyses to enable understanding of the thesis chapters.&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix B includes the following supplementary files:&lt;/p&gt;&lt;p dir="ltr"&gt;Supplementary_File_1 (list of COVID-19 genetic articles)&lt;/p&gt;&lt;p dir="ltr"&gt;Supplementary_File_2_T1/T2 (list of COVID-19 associated variants and genes identified in LD)&lt;/p&gt;&lt;p dir="ltr"&gt;Pipeline_Script (pipeline code used to analyse sequencing data)&lt;/p&gt;&lt;p dir="ltr"&gt;Gene_Transcripts (transcript identifiers used for each gene)&lt;/p&gt;&lt;p dir="ltr"&gt;Gene_Locations (the location and gene length information used)&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix C includes the following supplementary files:&lt;/p&gt;&lt;p dir="ltr"&gt;Supplementary data has been published under the DOI &lt;a href="https://doi.org/10.1038/s41431-022-01089-8" target="_blank"&gt;https://doi.org/10.1038/s41431-022-01089-8&lt;/a&gt; and includes-&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_C_Supplementary Data A&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_C_Supplementary Data B&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_C_Supplementary Data C&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_C_Supplementary Notes and Supplementary Figure 1&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_D includes the following supplementary files:&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_D_Supplementary_Data_A- (List of previously published COVID-19 variants assessed in the AFR population and the AF’s of each variant in the AFR, EUR, EAS, SAS and AMR population groups).&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_D_Supplementary_Data_B- (Raw frequency data for each variant, including p-values and odds ratios).&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix E includes the following supplementary files:&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_A- (Includes 5 tables)&lt;br&gt;T1: Sample list for the GnomAD data&lt;/p&gt;&lt;p dir="ltr"&gt;T2: Gene Function/ category information for 153 COVID-19 associated genes&lt;/p&gt;&lt;p dir="ltr"&gt;T3: 39 biologically plausible candidate genes and total variants identified across all populations analysed using the pipeline&lt;/p&gt;&lt;p dir="ltr"&gt;T4: High priority list of 20 candidate genes analysed in chapter 6&lt;/p&gt;&lt;p dir="ltr"&gt;T5: AF and raw data for the 43 common AFR variants&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_B (Functional prediction data for variants in genes &lt;i&gt;ACE2&lt;/i&gt;, &lt;i&gt;IL10RB&lt;/i&gt; and &lt;i&gt;TMPRSS2&lt;/i&gt;)&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_C (Functional prediction data for variants in genes &lt;i&gt;TYK2&lt;/i&gt;, &lt;i&gt;DPP9&lt;/i&gt;, &lt;i&gt;OAS1-3&lt;/i&gt;)&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_D (Functional prediction data for variants in genes &lt;i&gt;MUC5B&lt;/i&gt;, &lt;i&gt;ELF5&lt;/i&gt;, &lt;i&gt;SFTPD&lt;/i&gt; and &lt;i&gt;IFNA10&lt;/i&gt;)&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_E (Functional prediction data for variants in genes &lt;i&gt;FOXP4&lt;/i&gt;, &lt;i&gt;IRF1&lt;/i&gt; and &lt;i&gt;PLSCR1&lt;/i&gt;)&lt;/p&gt;&lt;p dir="ltr"&gt;Appendix_E_Supplementary_Data_F (Functional prediction data for variants in genes &lt;i&gt;LZTFL1&lt;/i&gt; and &lt;i&gt;JAK1&lt;/i&gt;)&lt;/p&gt;</dc:description>
          <dc:date>2025-08-27T07:46:19Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25403/UPresearchdata.29978956.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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