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.

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.

- + - +
Color popEVE score Interpretation
 ≤ −5.74≤ −6.04 Most deleterious (color saturates here)
  ≈ −5.056 Severe threshold: high-confidence deleterious (99.99% likelihood of falling in the more deleterious distribution)
  ≈ −4.617 Moderate threshold
  ≈ −3.5 Near the proteome-wide median
 ≥ −2.29≥ −2.41 Most tolerated (color saturates here)

Note: 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.

Hovering over a cell shows a summary of that substitution and the scores behind it, for example:

G1042→A