383da828477aad2b3c6053880a64fdbfc2a00cd9
max
  Thu Mar 19 02:30:41 2026 -0700
Fix varFreqs HTML issues and trexplorer citation, from AI code review 2026-03-19, refs #36642

Fix broken $db download URLs to hg38 in 14 HTML files, correct "Japanese"
to "Korean" in kova.html, fix "area" typo in schema.html, fix "Finnland"
to "Finland" in varFreqs.ra, normalize GREGoR capitalization, fix grammar,
quote all target=_blank attributes, capitalize GitHub consistently, and
fix bioRxiv citation formatting in trexplorer.html.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

diff --git src/hg/makeDb/trackDb/human/finngen.html src/hg/makeDb/trackDb/human/finngen.html
index 80e1daa8335..539efc2f9d1 100644
--- src/hg/makeDb/trackDb/human/finngen.html
+++ src/hg/makeDb/trackDb/human/finngen.html
@@ -1,56 +1,56 @@
 <h2>Description</h2>
 <p>
 <a href="https://www.finngen.fi/en" target="_blank">FinnGen</a> is a public-private partnership
 that combines genotype data from Finnish biobanks with digital health record data from Finnish
 health registries. The R12 release contains imputed variants from 500,348 biobank samples obtained
 using genotyping arrays. The imputation used phased variants obtained from 8,554 high-quality
 whole genome sequences, also from Finland. This represents approximately 10% of the Finnish
 population. Phenotype links can be viewed at the
 <a href="https://r12.finngen.fi/" target="_blank">FinnGen PheWeb</a>.
 </p>
 
 <h2>Data Access</h2>
 <p>
 Due to license restrictions, the data for this track cannot be downloaded from the UCSC
 Genome Browser. The Table Browser, Data Integrator, and download server are not available
 for this track.
 </p>
 <p>
 TSV data can be requested via the form at
 <a href="https://finngen.gitbook.io/documentation/data-download" target="_blank">FinnGen</a>,
 which triggers an automated email containing the download link.
-A script in our Github repo converts this file to VCF (see Methods below).
+A script in our GitHub repo converts this file to VCF (see Methods below).
 </p>
 
 <h2>Methods</h2>
 <p>
 FinnGen participants were genotyped using a custom Axiom FinnGen1 array, supplemented by legacy
 collections genotyped with other arrays. Imputation used a population-specific reference panel of
 high-coverage (25&ndash;30x) whole-genome sequences from Finnish individuals. Ancestry outliers were
 removed via PCA against 1000 Genomes reference samples, and 5,780 duplicates and monozygotic twins
 were excluded. Variant quality was assessed using VQSR.
 </p>
 <p>
 R12 annotated variants were downloaded from the Google Cloud bucket link received through an email
 and converted to VCF with a
 <a href="https://github.com/ucscGenomeBrowser/kent/tree/master/src/hg/makeDb/scripts/finngen_to_vcf.py"
 target="_blank">custom Python script</a>.
-We provide documentation that indicates how all source files of the varFreqs track were converted in the <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/doc/hg38/varFreqs.txt" target=_blank>makeDoc file</a> of the track.
-For some tracks, python scripts were necessary and are also available from <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/scripts/varFreqs" target=_blank>Github</a>.
+We provide documentation that indicates how all source files of the varFreqs track were converted in the <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/doc/hg38/varFreqs.txt" target="_blank">makeDoc file</a> of the track.
+For some tracks, python scripts were necessary and are also available from <a href="https://github.com/ucscGenomeBrowser/kent/blob/master/src/hg/makeDb/scripts/varFreqs" target="_blank">GitHub</a>.
 </p>
 
 <h2>Credits</h2>
 <p>
 We want to acknowledge the participants and investigators of the FinnGen study.
 </p>
 
 <h2>References</h2>
 <p>
 Kurki MI, Karjalainen J, Palta P, Sipil&auml; TP, Kristiansson K, Donner KM, Reeve MP, Laivuori H,
 Aavikko M, Kaunisto MA <em>et al</em>.
 <a href="https://doi.org/10.1038/s41586-022-05473-8" target="_blank">
 FinnGen provides genetic insights from a well-phenotyped isolated population</a>.
 <em>Nature</em>. 2023 Jan;613(7944):508-518.
 PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/36653562" target="_blank">36653562</a>; PMC: <a
 href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849126/" target="_blank">PMC9849126</a>
 </p>