Get Significant Single Tissue eQTLs By Location
Source:R/get_significant_single_tissue_eqtls_by_location.R
get_significant_single_tissue_eqtls_by_location.Rd
Find significant single tissue eQTLs using Chromosomal Locations.
This service returns precomputed significant single tissue eQTLs.
Results may be filtered by tissue, and/or dataset.
By default, the service queries the latest GTEx release. Since this endpoint is used to support a third party program on the portal, the return structure is different from other endpoints and is not paginated.
Usage
get_significant_single_tissue_eqtls_by_location(
tissueSiteDetailId,
start,
end,
chromosome,
datasetId = "gtex_v8"
)
Arguments
- tissueSiteDetailId
String. The ID of the tissue of interest. Can be a GTEx specific ID (e.g. "Whole_Blood"; use
get_tissue_site_detail()
to see valid values) or an Ontology ID.- start
Integer.
- end
Integer.
- chromosome
String. One of "chr1", "chr2", "chr3", "chr4", "chr5", "chr6", "chr7", "chr8", "chr9", "chr10", "chr11", "chr12", "chr13", "chr14", "chr15", "chr16", "chr17", "chr18", "chr19", "chr20", "chr21", "chr22", "chrM", "chrX", "chrY".
- datasetId
String. Unique identifier of a dataset. Usually includes a data source and data release. Options: "gtex_v8", "gtex_snrnaseq_pilot".
See also
Other Static Association Endpoints:
get_eqtl_genes()
,
get_fine_mapping()
,
get_independent_eqtl()
,
get_multi_tissue_eqtls()
,
get_significant_single_tissue_eqtls()
,
get_significant_single_tissue_ieqtls()
,
get_significant_single_tissue_isqtls()
,
get_significant_single_tissue_sqtls()
,
get_sqtl_genes()
Examples
# \dontrun{
get_significant_single_tissue_eqtls_by_location(
tissueSiteDetailId = "Artery_Aorta",
start = 10000,
end = 250000,
chromosome = "chr11")
#> # A tibble: 434 × 11
#> chromosome datasetId gencodeId geneSymbol geneSymbolUpper nes pValue
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.381 1.11e- 6
#> 2 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.364 2.25e- 6
#> 3 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.417 3.10e- 8
#> 4 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.480 8.39e- 9
#> 5 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.462 6.36e- 9
#> 6 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.553 8.89e-10
#> 7 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.577 2.95e-12
#> 8 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.547 6.13e-10
#> 9 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.462 6.36e- 9
#> 10 chr11 gtex_v8 ENSG000001779… BET1L BET1L 0.462 6.36e- 9
#> # ℹ 424 more rows
#> # ℹ 4 more variables: pos <int>, snpId <chr>, tissueSiteDetailId <chr>,
#> # variantId <chr>
# }