f7cf3eee5dc2134d550c6b35b2fb250f65673341
max
  Tue Feb 3 01:55:53 2026 -0800
changes after code review, refs #37059

diff --git src/hg/makeDb/trackDb/human/varFreqs.html src/hg/makeDb/trackDb/human/varFreqs.html
index 625e2c0bf0e..6d672bc37cb 100644
--- src/hg/makeDb/trackDb/human/varFreqs.html
+++ src/hg/makeDb/trackDb/human/varFreqs.html
@@ -58,38 +58,38 @@
         and 12,519 with whole-genome sequencing (WGS).  The data contains
         32,559 trios and 8,895 quads (one sibling without autism), and 824
         twins. The same frequencies shown here
         are also available publicly on the <a href="https://genomes.sfari.org/" target=_blank>SFARI Genome Browser</a>. 
        See (SPARK et al, Neuron 2018) for details or the methods below on this page.
     </li>
 
     <li>
         <b><a href="https://www.genomeasia100k.org/"
         target="_blank">GenomeAsia Pilot (GAsP)</a></b>:
         Whole-genome sequencing data of 1,739 individuals from 219 population groups across Asia.
         See (GenomeAsia Consortium, Nature 2019) for details.
     </li>
 
     <li>
-        <b><a href="https://www.genomeasia100k.org/"
-        target="_blank">Australia MRGB</a></b>:
+        <b><a href="https://sgc.garvan.org.au/initiatives/mgrb/index.html"
+        target="_blank">Australia MGRB</a></b>:
         The Australian Medical Genome Reference Bank collected
         whole-genome sequencing data of 4,011 healthy elderly individuals who
         lived >=70 years, to make sure that the dataset is depleted of damaging
         genetic variants. Age and sex summary graphs are available from 
         <a href="https://sgc.garvan.org.au/initiatives/mgrb/index.html">the MGRB website</a>.
-        See (Lacaze Eur J Humn Genet 2019) for details.
+        See (Lacaze Eur J Hum Genet 2019) for details.
     </li>
 
     <li>
         <b><a href="https://www.ncbi.nlm.nih.gov/snp/docs/gsr/alfa/" target="_blank">ALFA</a></b>:
         The NCBI ALlele Frequency Aggregator pipeline computes allele frequencies from
         approved, unrestricted dbGaP studies and makes them publicly available through
         dbSNP. Its goal is to release frequency data from over one million dbGaP
         subjects to aid discoveries involving common and rare variants with biological
         or disease relevance. The R4 release includes 408,709 subjects and allele
         frequencies for 15.5 million rs sites, including nearly one million ClinVar
         variants. We converted the NCBI track hub to VCF format, the data is freely available.
         Genotype and associated individual-level data are accessible through the dbGaP
         <a href="https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login"
         target="_blank">authorized access request</a> system.
     </li>