2a9d32c161c59ec9bd5d055843618ab15a703ce1 kate Mon Sep 7 20:02:37 2020 -0700 Finishing touches to COVID GWAS track. refs #26129 diff --git src/hg/makeDb/trackDb/human/covidHgiGwas.html src/hg/makeDb/trackDb/human/covidHgiGwas.html new file mode 100644 index 0000000..72158c3 --- /dev/null +++ src/hg/makeDb/trackDb/human/covidHgiGwas.html @@ -0,0 +1,97 @@ +

Description

+

+This track set shows GWAS meta-analyses from the + +COVID-19 Host Genetics Initiative (HGI), +a collaborative project bringing together the human genetics community to facilitate +the generation, analysis and sharing of COVID-19 host genetics research. +The COVID-19 HGI organizes meta-analyses across multiple studies contributed by +partners world-wide +to learn the genetic determinants of SARS-CoV-2 infection susceptibility, disease severity and +outcomes, and provides a platform to share the results from such activities, as well as +the individual-level data where possible. +

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+The specific phenotypes studied by the COVID-19 HGI are those that benefit +from maximal sample size. The primary analysis focuses on disease severity. +Two meta-analyses are represented in this track: + +

+ +

Display Conventions

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+Displayed items are colored by GWAS effect: red for positive, blue for negative. +The height of the item reflects the effect size (log OR scale). +The color saturation indicates statistical significance: greater than .05 pValue are +brightly colored (bright red +   +, bright blue +   +), +those with less significance are paler (light red +   +, light blue +   +). +

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+Each track has separate display controls and data can be filtered according to the +number of studies, minimum -log10 p-value, and the +effect size on log(OR) scale, using the track Configure options. +

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+Mouseover on items shows the rs ID (or chrom:pos if none assigned), both the non-effect +and effect alleles, +the effect size on log(OR) scale, the -log10 p-value, and the number of studies. +Further information on each variant is displayed on the details page by a click onto any item. +

+ +

Methods

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+Data was generated from genome wide SNP array, exome and genome sequencing, leveraging the impact +of both common and rare variants. Statistical analysis takes into account differences between +sexes, ancestries, and date of sample collection. More information about the prospective studies, +processing pipeline, results and data sharing can be found +here. +

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Data Access

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+The data underlying these tracks and summary statistics results are publicly available in +COVID19-hg Release 3 (June 2020). +The raw data can be explored interactively with the +Table Browser, or the Data Integrator. +For automated analysis, the data may be queried from our REST API. Please refer to +our mailing list archives for questions, or our Data Access FAQ for more information. +

+ +

Credits

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+Thanks to the COVID-19 Host Genetics Initiative contributors and project leads for making these +data available, and in particular to Rachel Liao and Juha Karjalainen at the Broad Institute for +their review and input during browser track development. +

+ +

References

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+COVID-19 Host Genetics Initiative. + +The COVID-19 Host Genetics Initiative, a global initiative to elucidate the role of host genetic +factors in susceptibility and severity of the SARS-CoV-2 virus pandemic. +Eur J Hum Genet. 2020 Jun;28(6):715-718. +PMID: 32404885; PMC: PMC7220587 +

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