Description
Allele-Specific Expression (ASE) is a measurement of the difference of gene expression
between the two alleles of a gene in a heterozygous individual.
This difference (also called `allelic imbalance') can be due to many biological processes,
including presence of cis-regulatory genetic variants, imprinting, and nonsense-mediated decay.
This track hub shows summary tracks of ASE identified from transcriptome and
genotype data collected in 53 tissues by the
Genotype-Tissue Expression (GTEx) project, and analyzed by the GTEx Analysis Group
(Lappalainen Lab at the New York Genome Center).
The GTEx project was initiated by the NIH as a sample and data resource for studies
on the relationship between genetic variation and gene expression in multiple human tissues.
The data presented here is from the GTEx midpoint milestone data release (V6, October 2015).
For additional information, see the
GTEx Analysis hub description.
For detailed analysis of ASE patterns in GTEx, the full ASE data is available via dbGap.
Display Conventions
The ASE Density track provides a cross-tissue summary of ASE via a density graph
of median allelic imbalance across all tissues in a sliding window.
The ASE Sites track shows all SNPs with evidence of ASE in any tissue.
Each site is identified by the SNP ID, or if none assigned, then by chromosomal start position.
The ASE by Tissue track contains a subtrack showing ASE sites for each of the
53 tissues assayed.
Sites are colored based on the median ASE for the site across all samples of the tissue;
shaded from gray (low) to the GTEx convention tissue color (high) with an intermediate
color representing moderate ASE level.
Methods
Allelic expression tracks were generated on a per tissue basis. Allelic counts were generated
at heterozygous variants called from Illumina OMNI 2.5 Array genotyping with imputation using
the GATK ASEReadCounter tool. Only uniquely aligned reads with a base quality of at least 10
at heterozygous sites were used.
The allelic imbalance value per site (ranged between 0 and 0.5) is the median allelic imbalance
across individuals with sufficient allelic coverage, calculated as
|0.5-REF_COUNT/(REF_COUNT+ALT_COUNT)|. Sites with low mappability (ENCODE 50 bp mappability
score less than 1) or that showed mapping bias in simulations (Panousis et al., 2014)
were removed.
The cross-tissue density graph was generated by a sliding window algorithm (window size 10 variants, step of 2 variants). Only those variants within 10kb of the first variant in the window
are included.
Credits
Data and suggestions for track design were provided by the Lappalainen lab at the New York Genome Center, part of the GTEx Analysis Working Group.
Contacts
For questions about the methods or interpretation of the ASE data presented here, contact
Stephane Castel,
Lappalainen Lab, NY Genome Center.
For questions about this track hub, contact the
UCSC Genome Browser mailing list.
References
Castel SE, Levy-Moonshine A, Mohammadi P, Banks E, Lappalainen T.
Tools and best practices for data processing in allelic expression analysis.
Genome Biol. 2015 Sep 17;16:195.
PMID: 26381377; PMC: PMC4574606
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