379c7a6bf84d248dbb6ab6aff34b0797b641a862 kate Fri Oct 30 12:35:49 2020 -0700 Remove incorrect info about multi-region view for this track. We will add multi-region view later... refs #26351 diff --git src/hg/makeDb/trackDb/human/covidMuts.html src/hg/makeDb/trackDb/human/covidMuts.html index f07baf7..ce57e1f 100644 --- src/hg/makeDb/trackDb/human/covidMuts.html +++ src/hg/makeDb/trackDb/human/covidMuts.html @@ -1,140 +1,134 @@ <h2>Description</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. </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> -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> 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 < 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 >0.01 and a call rate >0.99. 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>