c8294a0f61de291ccf0eb848363768c1d502a2f6
Merge parents 1880602 a8a28f7
abenetpa
  Fri Nov 6 05:09:43 2020 -0800
tables added to desc page #26351

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 -<h2>Description</h2>
++<h2>Display Conventions</h2>
+ <p>
 -This track shows variants associated with monogenic congenital defects of immunity to <b>SARS-CoV-2</b>, 
 -virus with incomplete or complete penetrance from the <a target=_blank 
 -href="https://www.covidhge.com/">COVID Human Genetic Effort</a>. This international consortium aims 
 -to detect rare or common monogenic inborn immunity errors (IEI) underlying severe forms of COVID-19 
 -in previously healthy individuals, as well as rare or common monogenic variations that make certain 
 -individuals resistant to infection by SARS-CoV2 virus despite repeated exposure.
++Unlike a regular genome browser track, the <b>COVID-19 Immunity Variants</b> track displays all
++affected genes in <a href="https://genome.ucsc.edu/goldenPath/help/multiRegionHelp.html">multi-region view</a>,
++showing the variants within the coordinates of the gene, but hiding all the intergenic bases. To
++return to the default Genome Browser view, click on the "-" button next to the "region" box.
+ </p>
 -
 -<p>
 -The major feature of the small set of  variants in this track is that they are functionally tested 
 -to be <b>deleterious</b> and genetically tested to be <b>disease-causing</b>. Specifically, 
 -rare variants were predicted to be loss-of-function (LOF) at 13 human loci known to govern 
 -TLR3- and IRF7-dependent type I interferon (IFN) immunity to influenza virus in patients with 
 -life-threatening COVID-19 pneumonia, relative to subjects with asymptomatic or benign infection. 
 -These genetic defects display incomplete penetrance for influenza respiratory distress and only 
 -manifested clinically upon infection with the more virulent SARS-CoV-2.
 -</p>
 - 
 -<h2>Display Conventions</h2>
+ <p>
+ Only eight genes and few variants are contained in this track. Use the links in the table to
+ browse the gene of interest:
+ </p>
+ 
+ <table class="stdTbl">
+   <tr>
+     <th>Gene Name</th>
+     <th>Human GRCh37/hg19 Assembly</th>
+     <th>Human GRCh38/hg38 Assembly</th>
+   </tr>
+   <tr>
+    <td>TLR3</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr4:186990309-187006252">
+ chr4:186990309-187006252</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr4:186069152-186088069">
+ chr4:186069152-186088069</a></td>
+   </tr>
+   <tr>
+     <td>IRF7</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr11:612555-615999">
+ chr11:612555-615999</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr11:612591-615970">
+ chr11:612591-615970</a></td>
+   </tr>
+   <tr>
+     <td>UNC93B1</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr11:67758575-67771593">
+ chr11:67758575-67771593</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr11:67991100-68004097">
+ chr11:67991100-68004097</a></td>
+   </tr>
+   <tr>
+     <td>TBK1</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr12:64845840-64895899">
+ chr12:64845840-64895899</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr12:64452120-64502114">
+ chr12:64452120-64502114</a></td>
+   </tr>
+   <tr>
+     <td>TICAM1</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr19:4815936-4831754">
+ chr19:4815936-4831754</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr19:4815932-4831704">
+ chr19:4815932-4831704</a></td>
+   </tr>
+   <tr>
+     <td>IRF3</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr19:50162826-50169132">
+ chr19:50162826-50169132</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr19:49659570-49665875">
+ chr19:49659570-49665875</a></td>
+   </tr>
+   <tr>
+     <td>IFNAR1</td>
+    <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr21:34697214-34732128">
+ chr21:34697214-34732128</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr21:33324970-33359864">
+ chr21:33324970-33359864</a></td>
+   </tr>
+   <tr>
+     <td>IFNAR2</td>
+     <td><a href="../cgi-bin/hgTracks?db=hg19&covidHgeMuts=pack&position=chr21:34602231-34636820">
+ chr21:34602231-34636820</a></td>
+     <td><a href="../cgi-bin/hgTracks?db=hg38&covidHgeMuts=pack&position=chr21:33229974-33264525">
+ chr21:33229974-33264525</a></td>
+   </tr>
+ </table>
+ 
+ <h2>Methods</h2>
+ <p>
+ Variant calls in 12 autosomal IFN-related genes from whole exome or genome data with a MAF lower
+ than 0.001 (gnomAD v2.1.1) and experimental demonstration of loss-of-function (LOF) were considered
+ for statistical analysis. The proportion of individuals carrying at least one pLOF variant was
+ compared between cases and controls by means of logistic regression with the likelihood ratio test.
+ The first three principal components of the PCA were included in the logistic regression model
+ to account for ethnic heterogeneity of the cohorts.
+ Analysis of enrichment in rare (MAF &lt 0.001) synonymous
+ variants of the 12 genes was performed to check the calibration of the burden test. PCA was
+ conducted with Plink v1.9 software on whole exome and genome sequencing data and 1000 Genomes (1kG)
+ Project phase 3 public database as reference, using 27,480 exonic variants with a minor allele
+ frequency &gt0.01 and a call rate &gt0.99. The odds ratio was also estimated by logistic regression
+ and adjusted for ethnic heterogeneity.
+ </p>
+ 
+ <h2>Data Access</h2>
+ <p>
+ The raw data can be explored interactively with the <a target="_blank" href="../cgi-bin/hgTables">
+ Table Browser</a>, or the <a target="_blank" href="../cgi-bin/hgIntegrator">Data Integrator</a>.
+ Please refer to
+ our <a href="https://groups.google.com/a/soe.ucsc.edu/forum/#!forum/genome"
+ target="_blank">mailing list archives</a> for questions, or our <a target="_blank"
+ href="../FAQ/FAQdownloads.html#download36">Data Access FAQ</a> for more information.
+ </p>
+ 
+ <h2>Credits</h2>
+ <p>
+ Thanks to the COVID Human Genetic Effort contributors for making these data available, and in
+ particular to Qian Zhang at the Rockefeller University for review and input during browser track
+ development.
+ </p>
+ 
 -
+ <h2>References</h2>
+ <p>
+ Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Chen J, Ogishi M, Sabli IKD, Hodeib S, Korol C
+ <em>et al</em>.
+ <a href="https://www.ncbi.nlm.nih.gov/pubmed/32972995" target="_blank">
+ Inborn errors of type I IFN immunity in patients with life-threatening COVID-19</a>.
+ <em>Science</em>. 2020 Sep 24;.
+ PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/32972995" target="_blank">32972995</a>
+ </p>
+