9a56fd00c6ee9cba19d36d6fe4ae0222523cdcd8
lrnassar
  Thu Jul 23 14:10:55 2026 -0700
Update popEVE color-legend anchors to the dense-rebuild values. refs #37791

The description page's color table still showed the sparse build's saturation anchors
(-5.74 / -2.29); the dense rebuild recomputed them to -6.04 / -2.41. Caught in visual QA.

diff --git src/hg/makeDb/trackDb/human/popEve.html src/hg/makeDb/trackDb/human/popEve.html
index 9bd05a3f109..7b648d708fd 100644
--- src/hg/makeDb/trackDb/human/popEve.html
+++ src/hg/makeDb/trackDb/human/popEve.html
@@ -25,43 +25,43 @@
 single-nucleotide change (roughly 6 of 19 per position) and therefore appear sparser.
 </p>
 
 <p>
 Unlike per-gene scores, popEVE is calibrated across the whole proteome, so cells are colored
 on a single global gradient keyed to the raw popEVE score (lower, more negative scores are
 more deleterious). The color is interpolated between the five anchors below: the published
 severe and moderate thresholds are fixed anchors, and the extremes saturate at the 0.5th and
 99.5th percentiles of the proteome-wide score distribution.
 </p>
 <table style="border-collapse: collapse; border: 1px solid #ccc;">
 <tr><th style="border:1px solid #ccc;padding:6px 12px;background:#f2f2f2;">Color</th>
     <th style="border:1px solid #ccc;padding:6px 12px;background:#f2f2f2;">popEVE score</th>
     <th style="border:1px solid #ccc;padding:6px 12px;background:#f2f2f2;">Interpretation</th></tr>
 <tr><td style="border:1px solid #ccc;background:#b2182b;width:50px;">&nbsp;</td>
-    <td style="border:1px solid #ccc;padding:4px 10px;">&le; &minus;5.74</td>
+    <td style="border:1px solid #ccc;padding:4px 10px;">&le; &minus;6.04</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">Most deleterious (color saturates here)</td></tr>
 <tr><td style="border:1px solid #ccc;background:#d6604d;width:50px;">&nbsp;</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">&asymp; &minus;5.056</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">Severe threshold: high-confidence deleterious (99.99% likelihood of falling in the more deleterious distribution)</td></tr>
 <tr><td style="border:1px solid #ccc;background:#f4a582;width:50px;">&nbsp;</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">&asymp; &minus;4.617</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">Moderate threshold</td></tr>
 <tr><td style="border:1px solid #ccc;background:#f7f7f7;width:50px;">&nbsp;</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">&asymp; &minus;3.5</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">Near the proteome-wide median</td></tr>
 <tr><td style="border:1px solid #ccc;background:#2166ac;width:50px;">&nbsp;</td>
-    <td style="border:1px solid #ccc;padding:4px 10px;">&ge; &minus;2.29</td>
+    <td style="border:1px solid #ccc;padding:4px 10px;">&ge; &minus;2.41</td>
     <td style="border:1px solid #ccc;padding:4px 10px;">Most tolerated (color saturates here)</td></tr>
 </table>
 <p>
 <b>Note:</b> popEVE ranks deleteriousness to organismal fitness, weighted toward severe,
 often early-onset phenotypes, rather than classic clinical pathogenicity. Some well-known
 disease genes whose variants act mainly through loss of function or cause adult-onset
 conditions (for example BRCA1) may therefore show few or no cells in the severe range.
 </p>
 
 <p>
 Hovering over a cell shows a summary of that substitution and the scores behind it, for
 example:
 </p>
 <p style="border:1px solid #ccc; padding:6px 12px; display:inline-block;">
 G1042&rarr;A<br>