0e9b24cc61c54f766934266e4f3246a3bbcda79e
kuhn
  Mon Feb 15 14:32:11 2021 -0800
improved wording

diff --git src/hg/makeDb/trackDb/human/covidHgiGwasR4Pval.html src/hg/makeDb/trackDb/human/covidHgiGwasR4Pval.html
index 975c1e2..452544f 100644
--- src/hg/makeDb/trackDb/human/covidHgiGwasR4Pval.html
+++ src/hg/makeDb/trackDb/human/covidHgiGwasR4Pval.html
@@ -6,31 +6,31 @@
 <a target=_blank href="https://www.covid19hg.org/">
 <b>COVID-19 Host Genetics Initiative (HGI)</b></a>: 
 a collaborative effort to facilitate 
 the generation of meta-analysis across multiple studies contributed by
 <a target="_blank" href="https://www.covid19hg.org/partners/">partners world-wide</a>
 to identify the genetic determinants of <b>SARS-CoV-2</b> infection susceptibility, disease severity 
 and outcomes. The COVID-19 HGI also aims to provide a platform for study partners to 
 share analytical results in the form of summary statistics and/or individual level data of COVID-19
 host genetics research. At the time of this release, a total of 137 studies were registered with 
 this effort.
 </p>
 
 <p>
 The specific phenotypes studied by the COVID-19 HGI are those that benefit from maximal sample 
 size: primary analysis on disease severity. For the Data Release 4 the number of cases have
-increased by nearly ten-fold (over 30,000 COVID-19 cases and 1.47 million controls) by combining
+increased by nearly ten-fold (more than 30,000 COVID-19 cases and 1.47 million controls) by combining
 data from 34 studies across 16 countries. 
 </p>
 
 <p>
 The four tracks here are based on data from HGI meta-analyses A2, B2, C1, and C2, described here:
 </p>
 
 <ul>
 <li><b>Severe COVID vars (A2):</b> Cases with very severe respiratory failure confirmed
  for COVID-19 vs. population (i.e. everybody that is not a case).
  The increased sample size resulted in strong evidence of 
  seven genomic regions associated with severe COVID-19 and one additional signal associated with 
  COVID-19 partial-susceptibility. Many of these regions were identified by the 
  <a target="_blank" href="https://genomicc.org/">Genetics of Mortality in Critical Care (GenOMICC)</a>
  study and are shown below (table adapted from