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Line 5: − + − + − + − + − *[http://genome.sph.umich.edu/wiki/LocusZoom_Standalone Download LocusZoom] and [http://genome.sph.umich.edu/wiki/LocusZoom_Standalone#Sources_of_SQLite_database_tables associated databases]+ − We are also developing a distributable code package that you can install on your own system to generate plots locally. This is not yet available, but is expected in April 2010. Line 23:
Line 22: − Association results can be uploaded to our web server using the [http://csg.sph.umich.edu/locuszoom/ plot your data webpage]. Result files are limited to 20Mb in size, which allows for a [[gzip|gzipped]] text table including key columns (marker name, p-value and sample size) for up to ~3 million SNPs. In our tests, a typical GWAS results file is ~17 Mb in size after imputation of HapMap SNPs. Once a file is uploaded, LocusZoom will remember the file for the duration of your web session allowing you to generate multiple plots. If you have a slow connection or would like to save time, you can upload results for a region or chromosome of interest only. Your results are entirely confidential and won't be viewed by us or anyone else (except those with whom you share them!) − + + + + + + + + Line 37:
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Make deprecation warning more visible.
LocusZoom can be used in four ways:
LocusZoom can be used in four ways:
; Plot Summaries of Your Genomewide Scan Interactively
; 1. Plot Summaries of Your Genomewide Scan Interactively
: You can upload summary results of your own genomewide scan or genomewide meta-analysis and request plots of regions of interest using a web-based form.
: You can upload summary results of your own genomewide scan or genomewide meta-analysis and request plots of regions of interest using a web-based form.
; Generate Many Plots in Batch Mode
; 2. Generate Many Plots in Batch Mode
: You can upload summary results for your genomewide scan or genomewide meta-analysis and request several plots in one go by uploading a batch file. You will receive results via e-mail. A snail-mail option is not available.
: You can upload summary results for your genomewide scan or genomewide meta-analysis and request several plots in one go by uploading a batch file. You will receive results via e-mail. A snail-mail option is not available.
; Plot Summaries of Publicly Available Datasets
; 3. Plot Summaries of Publicly Available Datasets
: Currently, this includes the results of [http://www.sph.umich.edu/csg/abecasis/public/lipids2008/ our genome-wide scan] for variants associated with HDL-cholesterol, LDL-cholesterol and triglyceride levels in ~20,000 individuals.
: Currently, this includes the results of [http://www.sph.umich.edu/csg/abecasis/public/lipids2008/ our genome-wide scan] for variants associated with HDL-cholesterol, LDL-cholesterol and triglyceride levels in ~20,000 individuals.
; Download LocusZoom and run on your local unix machine
; 4. Download LocusZoom and run on your local unix machine
: [http://genome.sph.umich.edu/wiki/LocusZoom_Standalone Download LocusZoom] and [http://genome.sph.umich.edu/wiki/LocusZoom_Standalone#Sources_of_SQLite_database_tables associated databases]
== Upload your own meta-analysis file and generate single plots using a web-based form ==
== Upload your own meta-analysis file and generate single plots using a web-based form ==
=== Uploading Your Association Study Results ===
=== Uploading Your Association Study Results ===
To specify the region to be plotted, you will have to specify the name of a key marker in the region (typically, as an rs-number), name a gene of interest or provide appropriate genome coordinates. When displaying linkage disequilibrium, plotting will be very fast for small windows when HapMap CEU linkage disequilibrium is requested (because pairwise coefficients have been precomputed) and will be a bit slower for larger windows (because linkage disequilibrium coefficients must be computed on the fly).
<span style="color:red">'''The instructions below refer to a "legacy" service that is not actively maintained. For modern datasets, consider using our new [https://my.locuszoom.org my.locuszoom.org] service for the latest features, including manhattan plots and support for build GRCh38.'''</span>
'''Please note: You CAN plot SNPs without rsid using chr6:20122013 format.'''
Association results can be uploaded to our web server using the [http://locuszoom.org/ plot your data webpage]. Result files are limited to 20Mb in size, which allows for a [[gzip|gzipped]] text table including key columns (marker name, p-value and sample size) for up to ~3 million SNPs. In our tests, a typical GWAS results file is ~17 Mb in size after imputation of HapMap SNPs. Once a file is uploaded, LocusZoom will remember the file for the duration of your web session allowing you to generate multiple plots. If you have a slow connection or would like to save time, you can upload results for a region or chromosome of interest only. Your results are entirely confidential and won't be viewed by us or anyone else (except those with whom you share them!)
To specify the region to be plotted, you will have to specify the name of a key marker in the region (typically, as an rs-number, but can be in chr:pos format), name a gene of interest or provide appropriate genome coordinates. When displaying linkage disequilibrium, plotting will be very fast for small windows when HapMap CEU linkage disequilibrium is requested (because pairwise coefficients have been precomputed) and will be a bit slower for larger windows (because linkage disequilibrium coefficients must be computed on the fly).
If you include a sample size column in the result file, it will be used to control the size of each plotted marker.
If you include a sample size column in the result file, it will be used to control the size of each plotted marker.
=== Plotting of Pairwise Linkage Disequilibrium ===
=== Plotting of Pairwise Linkage Disequilibrium ===
In the main plot window, data points are colored according to their level of linkage disequilibrium (LD) of the each SNP with the index SNP. If users specify the region to display using an index SNP and flanking region, LD of all data points will be relative to the user-specified index SNP. If users specify the region to display using genome coordinates or a gene name, LocusZoom will automatically select the most significant SNP in the region as the index SNP. For all other SNPs in the plot, the color of the data point will reflect the pairwise LD with this index SNP. The default LD measure is r<sup>2</sup> calculated from the HapMap CEU population (release 22), but users have the option to replace this with D’ and of selecting the HapMap YRI, Hapmap CHB+JPT or 1000 Genomes CEU reference panels. Because we have pre-computed LD for all SNPs in HapMap CEU, plots will often generate more quickly if using the default LD information. SNPs with missing LD information are shown in grey.
In the main plot window, data points are colored according to their level of linkage disequilibrium (LD) of the each SNP with the index SNP. If users specify the region to display using an index SNP and flanking region, LD of all data points will be relative to the user-specified index SNP. If users specify the region to display using genome coordinates or a gene name, LocusZoom will automatically select the most significant SNP in the region as the index SNP. For all other SNPs in the plot, the color of the data point will reflect the pairwise LD with this index SNP. The default LD measure is r<sup>2</sup> calculated from the HapMap CEU population (release 22), but users have the option to replace this with D’ and of selecting the HapMap YRI, Hapmap CHB+JPT or 1000 Genomes CEU reference panels. To display LD from 1000G CEU, please substitute rsid's for 1000G naming convention (chrxx:xxxx) whenever possible. Because we have pre-computed LD for all SNPs in HapMap CEU, plots will often generate more quickly if using the default LD information. SNPs with missing LD information are shown in grey.
=== Customizing the Display of Your Results ===
=== Customizing the Display of Your Results ===
| Reference Population for LD
| Reference Population for LD
| n/a
| n/a
| This option allows the user to specify which reference panel is used to obtain LD estimates. The default is CEU from HapMap Phase II but users may select YRI or JPT+CHB from HapMap Phase II, or CEU from 1000 Genomes (August 2009 release).
| This option allows the user to specify which reference panel is used to obtain LD estimates. The default is CEU from HapMap Phase II but users may select YRI or JPT+CHB from HapMap Phase II, or CEU from 1000 Genomes (August 2009 or June 2010 release).
|-
|-
| Highlight Region of Interest
| Highlight Region of Interest
|}
|}
For a full list of options that can be used in Batch Mode using a hitspec file, please see [http://genome.sph.umich.edu/wiki/LocusZoom_Standalone#Plotting_options this list]
[[Category:Software]]
[[Category:Software]]
