cis

1. what is miRNA home?

miRNA-eQTL aims to comprehensively provide miRNA-related cis-eQTLs (SNPs affect local miRNA gene expression) and trans-eQTLs (SNPs affect distant miRNA gene expression) in different cancer types from The Cancer Genome Atlas (TCGA). We have identified 87,932 and 5,175 eQTL−gene pairs at FDR < 0.05 in 33 cancer types in cis-eQTL and trans-eQTL analysis, respectively. To prioritize promising miRNA-eQTLs, we identified miRNA-eQTLs associated with patient survival times (survival-eQTLs) and located in GWAS linkage disequilibrium (LD) regions (GWAS-eQTLs). In survival-eQTL, we identified 116 eQTLs associated with patient overall survival times, and in GWAS-eQTL, we identified 26,908 eQTLs pairs that overlap with GWAS linkage disequilibrium (LD) regions.

In miRNA-eQTL database, users can :

  • Browse or search miRNA-eQTLs across different cancer types
  • Browse or search miRNA-eQTLs associated with patient overall survival times across different cancer types
  • Browse or search miRNA-eQTLs in GWAS linkage disequilibrium (LD) regions
  • Download figures and all eQTL results

2. Database construction pipeline

3. About the search result

Cis/Trans-eQTL

SNP ID: Reference id from dbSNP.
SNP Position: The position of SNP including chromosme.
Alleles: SNP alleles.
Gene Position: Strand : Gene genomic position including chromosome, gene region and strand.
r: The correlation coefficient.
Beta: Effect size of SNP on gene expression (calculated by linear regression using a computationally efficient eQTL analysis called Matrix eQTL).
P-value: P-value calculated by Matrix eQTL.
Display: Provide diagram of boxplot to display the association between SNP genotypes and gene expression.

GWAS-eQTL

LD: Linkage disequilibrium.
GWAS Traits: Traits linked with SNP.

Survival-eQTL

Sample Sizes: Number of samples in a cancer type.
Median Survival Time XX: Median survival times of different genotypes.
Display: Embedd diagram of the Kaplan–Meier plot to display the association between SNP genotypes and overall survival times..

4. Data summary of miRNA-related cis/trans-eQTLs

Cancer type No. of samples No. of miRNAs No. of genotypes Cis-pairs Cis-miRNAs Cis-eQTL Trans-pairs Trans-miRNAs Trans-eQTL
ACC 77 744 3567953 69 6 69 2 1 2
BLCA 400 761 4187341 3633 184 3336 298 49 283
BRCA 1059 646 2746002 6112 286 5633 388 112 311
CESC 242 732 4276554 2339 116 2248 62 20 62
CHOL 36 702 4012151 0 0 0 0 0 0
COAD 282 665 4505758 3098 152 2855 187 44 187
DLBC 46 733 4792599 6 1 6 0 0 0
ESCA 168 695 4445428 818 35 776 18 10 18
GBM 0 0 0 0 0 0 0 0 0
HNSC 489 741 4247859 6658 208 6083 95 37 91
KICH 66 638 3771773 150 6 150 0 0 0
KIRC 507 587 4578552 5420 209 4838 516 60 512
KIRP 289 670 4889138 3708 149 3504 329 39 329
LAML 113 516 5110458 404 16 369 15 2 15
LGG 499 771 4627361 8721 282 8262 440 100 393
LIHC 363 733 4159733 3647 172 3404 269 41 262
LUAD 504 738 4384032 4943 213 4545 210 67 200
LUSC 469 723 3741708 4595 190 4321 658 50 658
MESO 82 712 4747363 156 12 156 27 4 26
OV 289 727 2972304 1650 111 1559 127 24 126
PAAD 178 688 4996007 1615 80 1528 51 19 47
PCPG 175 779 4707759 1441 105 1346 144 23 138
PRAD 476 610 4824563 7462 233 6915 451 81 445
READ 91 681 4540674 479 25 469 10 3 10
SARC 255 645 4088430 1189 119 1133 133 22 131
SKCM 97 796 4831140 0 0 0 0 0 0
STAD 409 680 4305415 2948 115 2619 74 28 74
TGCT 148 993 4811363 1962 99 1862 169 20 164
THCA 497 742 4875197 11779 301 10028 328 62 318
THYM 120 951 4940145 1835 84 1662 108 15 107
UCEC 175 748 4953072 702 50 702 40 12 40
UCS 56 833 3888384 27 1 27 0 0 0
UVM 77 754 4692767 276 26 254 21 7 21

5. Full name of cancer types

Cancer type Disease full name
ACC Adrenocortical carcinoma
BLCA Bladder urothelial carcinoma
BRCA Breast invasive carcinoma
CESC Cervical squamous cell carcinoma and endocervical adenocarcinoma
CHOL Cholangiocarcinoma
COAD Colon adenocarcinoma
DLBC Lymphoid neoplasm diffuse large B-cell lymphoma
ESCA Esophageal carcinoma
GBM Glioblastoma multiforme
HNSC Head and neck squamous cell carcinoma
KICH Kidney chromophobe
KIRC Kidney renal clear cell carcinoma
KIRP Kidney renal papillary cell carcinoma
LAML Acute myeloid leukemia
LGG Lower grade glioma
LIHC Liver hepatocellular carcinoma
LUAD Lung adenocarcinoma
LUSC Lung squamous cell carcinoma
MESO Mesothelioma
OV Ovarian serous cystadenocarcinoma
PAAD Pancreatic adenocarcinoma
PCPG Pheochromocytoma and paraganglioma
PRAD Prostate adenocarcinoma
READ Rectum adenocarcinoma
SARC Sarcoma
SKCM Skin cutaneous melanoma
STAD Stomach adenocarcinoma
TGCT Testicular germ cell tumors
THCA Thyroid carcinoma
THYM Thymoma
UCEC Uterine corpus endometrial carcinoma
UCS Uterine carcinosarcoma
UVM Uveal melanoma

6. The identification of GWAS-related eQTLs

eQTLs that overlaps with tagSNPs and/or linkage disequilibrium regions were extracted as GWAS-related eQTLs.

Data source

  • GWAS tagSNPs: GWAS catalog website (http://www.ebi.ac.uk/gwas/)
  • GWAS linkage disequilibrium regions: SNAP database (https://personal.broadinstitute.org/plin/snap/ldsearch.php)
  • The TCGA data portal (https://tcga-data.nci.nih.gov/tcga/)
  • GENCODE (version 22) website (https://www.gencodegenes.org/)
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