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Web portal for Immune
3’aQTLs
A step-by-step guide
Data and methods
• Genome-wide SNP genotype, whole-exome sequencing, and
RNA-sequencing data of EvoImmunPop project used are
deposited in the European Genome-phenome Archive (EGA)
under accession code EGAS00001001895. The genotype and
RNA-sequencing data for the DICE project are deposited in the
Genotype and Phenotypes (dbGaP) database under the
accession phs001703.v1.p1. The genotype and RNA-
sequencing data for the Immvar project are deposited in
dbGaP under accession phs000815.v1.p1.
• SNPs with a minor allele frequency of < 0.01 were filtered, and
at least ten counts per allele were required. We then tested
associations for SNPs within an interval of 1 Mb from the
3′aQTL region, with normalized PDUI values, in each tissue,
using Matrix eQTL, in a linear regression framework.
Part 1: Querying Immune 3’a QTLs of interest
Part 2: Downloading data of Immune 3’a QTLs
Step 1:
Select immune cell type of interest
(e.g.Native B cells)
Part 1 Querying Immune 3’a QTLs
of interest
Step 2:
Search a rsid/Gene ( e.g.
SRP14)
Step 3:
Relevant 3’aQTLs will
automatically show
Step 4:
Click “ ”
Step 5:
3’aQTL association for
downloading
Part2 Downloading data of Immune
3’a QTLs
Step 1: Click
“DOWNLOAD”
Step 2:
Click any cell type (e.g. “Native B
cells”) for Visualizing and
Downloading
Download file:

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Immune 3a qtl_website

  • 1. Web portal for Immune 3’aQTLs A step-by-step guide
  • 2. Data and methods • Genome-wide SNP genotype, whole-exome sequencing, and RNA-sequencing data of EvoImmunPop project used are deposited in the European Genome-phenome Archive (EGA) under accession code EGAS00001001895. The genotype and RNA-sequencing data for the DICE project are deposited in the Genotype and Phenotypes (dbGaP) database under the accession phs001703.v1.p1. The genotype and RNA- sequencing data for the Immvar project are deposited in dbGaP under accession phs000815.v1.p1. • SNPs with a minor allele frequency of < 0.01 were filtered, and at least ten counts per allele were required. We then tested associations for SNPs within an interval of 1 Mb from the 3′aQTL region, with normalized PDUI values, in each tissue, using Matrix eQTL, in a linear regression framework.
  • 3. Part 1: Querying Immune 3’a QTLs of interest Part 2: Downloading data of Immune 3’a QTLs
  • 4. Step 1: Select immune cell type of interest (e.g.Native B cells) Part 1 Querying Immune 3’a QTLs of interest
  • 5. Step 2: Search a rsid/Gene ( e.g. SRP14)
  • 6. Step 3: Relevant 3’aQTLs will automatically show
  • 9. Part2 Downloading data of Immune 3’a QTLs Step 1: Click “DOWNLOAD”
  • 10. Step 2: Click any cell type (e.g. “Native B cells”) for Visualizing and Downloading Download file: