Showing 1,881 - 1,900 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((inter decrease) OR (linear decrease)) ))', query time: 0.38s Refine Results
  1. 1881
  2. 1882
  3. 1883
  4. 1884
  5. 1885
  6. 1886
  7. 1887
  8. 1888
  9. 1889
  10. 1890
  11. 1891
  12. 1892
  13. 1893
  14. 1894

    GWAS analysis using Cluster 2 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>3.68</b>×<b>10</b><sup><b>−5</b></sup>(0.05/1357 SNPs). …”
  15. 1895

    GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = 2<b>.80</b>×<b>10</b><sup><b>−5</b></sup>(0.05/1784 SNPs). …”
  16. 1896

    GWAS analysis using only Cluster 1 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.03</b>×<b>10</b><sup><b>−5</b></sup> (0.05/1242 SNPs). …”
  17. 1897

    GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>7.91</b>×<b>10</b><sup><b>−6</b></sup> (0.05/6314 SNPs). …”
  18. 1898

    GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.67</b>×<b>10</b><sup><b>−6</b></sup> (0.05/10697 SNPs). …”
  19. 1899
  20. 1900

    GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

    Published 2024
    “…The dashed line indicates the permuted threshold for genome-wide significance <b><i>p</i></b> = <b>4.67</b>×<b>10</b><sup><b>−6</b></sup>. …”