c248c85dafaa2167b3ad8e0ad76be7d4a9a05385 max Fri Oct 30 09:02:47 2020 -0700 lifting covid rare mutations to hg38 and polishing up the track a bit more, refs #26351 diff --git src/hg/makeDb/trackDb/human/covidMuts.html src/hg/makeDb/trackDb/human/covidMuts.html new file mode 100644 index 0000000..303b490 --- /dev/null +++ src/hg/makeDb/trackDb/human/covidMuts.html @@ -0,0 +1,82 @@ +

Description

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+This track shows variants associated with monogenic congenital defects of immunity to SARS-CoV-2, +with incomplete or complete penetrance from the COVID Human Genetic Effort. 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. +

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+The major feature of the small set of variants in this track is that they are functionally tested +to be deleterious and genetically tested to be disease-causing. 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. +

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Display Conventions

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+Unlike a regular genome browser track, the COVID-19 Immunity Variants track displays all +affected genes in multi-region view, +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. +

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+Only eight genes and few variants are contained in this track. Use the links below to browse the +the gene of interest: + +

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Gene 1 chr:
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Gene 2 chr:
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Methods

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+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. +

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Data Access

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+The raw data can be explored interactively with the +Table Browser, or the Data Integrator. +Please refer to +our mailing list archives for questions, or our Data Access FAQ for more information. +

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Credits

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+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. +

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References

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+Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Chen J, Ogishi M, Sabli IKD, Hodeib S, Korol C +et al. + +Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. +Science. 2020 Sep 24;. +PMID: 32972995 +

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