8382ac50957fae1cb423ee002b1e07fdfd0be957
jnavarr5
  Wed Nov 12 12:10:51 2025 -0800
Fixing a link to the HGDP website/paper, refs #36642

diff --git src/hg/makeDb/trackDb/human/varFreqs.html src/hg/makeDb/trackDb/human/varFreqs.html
index fffbc9b59ca..dadf9f83ab0 100644
--- src/hg/makeDb/trackDb/human/varFreqs.html
+++ src/hg/makeDb/trackDb/human/varFreqs.html
@@ -32,31 +32,31 @@
         adaptation. It is sampling populations in a way that represents as much
         anthropological, linguistic and cultural diversity as possible, and
         thus includes many deeply divergent human populations that are not well
         represented in other datasets.  SGDP emphasizes breadth of global representation and
         population history, whereas HGDP emphasizes continuity and
         comparability across major population groups. Not all iits data is
         public, so this track contains only 279 genomes. For details, see
         (Mallick et al, Nature 2016). The hg38 track was lifted from hg19.
     </li>
 </ul>
 <p>
 <b>Available only on hg38:</b></p>
 <ul>
     <li>
         <b><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC7115999/"
-        target="_blank"></a>Human Genome Diversity Project (HGDP)</b>:
+        target="_blank">Human Genome Diversity Project (HGDP)</b></a>:
         929 high-coverage genome sequences from 54 diverse human populations,
         26 of which are physically phased using linked-read sequencing. The
         Human Genome Diversity Project (HGDP) was launched in the early 1990s
         to study the genetic variation and evolutionary history of modern
         humans across global populations. Its goal was to document the full
         spectrum of human genetic diversity, particularly in indigenous and
         geographically isolated groups, to better understand population
         structure, migration, adaptation, and disease susceptibility.The
         project collected samples from ~1,000 individuals representing over 50
         populations worldwide, including groups from Africa, Europe, Asia,
         Oceania, and the Americas. These data have become a foundational
         reference for population genetics and human evolution studies.
         Data can be downloaded from the
         <a href="https://ngs.sanger.ac.uk/production/hgdp/hgdp_wgs.20190516/"
         target="_blank">Sanger Website</a>. For details, see (Bergstr&ouml;m et al, Science 2020).