Package 'MRInstruments'

Title: Data sources for genetic instruments to be used in MR
Description: Datasets of eQTLs, GWAS catalogs, etc.
Authors: Gibran Hemani [aut, cre]
Maintainer: Gibran Hemani <[email protected]>
License: CC0
Version: 0.3.2
Built: 2024-10-30 05:30:58 UTC
Source: https://github.com/MRCIEU/MRInstruments

Help Index


Data frame of mQTLs from ARIES study

Description

mQTL analysis was performed in five time points in mothers and children. These data are obtained from http://www.gtexportal.org/home/ (GCTA version).

Usage

aries_mqtl

Format

A data frame with 187318 rows and 19 columns

SNP

SNP

timepoint

timepoint

cpg

cpg

beta

beta

pval

pval

se

se

snp_chr

snp_chr

snp_pos

snp_pos

effect_allele

effect_allele

other_allele

other_allele

eaf

eaf

sex

sex

age

age

units

units

island_location

island_location

cpg_chr

cpg_chr

cpg_pos

cpg_pos

gene

gene

gene_location

gene_location

cis_trans

cis or trans acting mQTL

Source

http://www.gtexportal.org/home/


Data frame of eQTLs (monocyte cells) from the BLUEPRINT study

Description

Data was downloaded from ftp://ftp.ebi.ac.uk/pub/databases/blueprint/blueprint_Epivar/qtl_as/QTL_RESULTS/mono_gene_nor_combat_peer_10_all_summary.txt.gz. Top hit SNPs filtered for (all associations with P<5e-8).

Usage

blueprint_monocyte_eqtl

Format

A data frame with 452537 rows and 8 columns

Phenotype

Gene name

SNP

SNP rs ID

beta

Effect size

se

Standard error

eaf

Effect allele frequency

effect_allele

Effect allele

other_allele

Non effect allele

pval

p-value

Source

https://scmv-ieugit.epi.bris.ac.uk/gh13047/blueprint_monocyte_tophits


Drug interactions

Description

List of drug names and the genes that they target, along with information about how they interact and source of information

Usage

drug_interactions

Format

A data frame with 38116 rows and 6 columns

entrez_gene_symbol

entrez gene symbol

gene_long_name

gene long name

interaction_claim_source

interaction claim source

interaction_types

interaction types

drug_name

drug name

drug_primary_name

drug primary name

Source

The "Interactions TSV" at http://dgidb.genome.wustl.edu/downloads


Drug trial information regarding target genes

Description

The drug trial information comes from PMID 26121088 supplementary table 13. For a number of genes information is provided about diseases for which they are targeted, and the status of the trials in which they were tested.

Usage

gene_trials

Format

A data frame with 19085 rows and 5 columns

entrez_gene_symbol

Entrez Gene symbol

MeSH1

MeSH term 1

MeSH2

Top MeSH term

drug_phase

Phase of drug development

approved

Approved in EU or US

Source

http://www.ncbi.nlm.nih.gov/pubmed/26121088


Data frame of cis-eQTLs from GTEx study (version 6p)

Description

Gene expression - SNP associations from 27094 gene names and 44 tissues. Obtained from http://www.gtexportal.org/home/. These data only include associations that GTEx labelled as is_choson_snp.

Usage

gtex_eqtl

Format

A data frame with 280630 rows and 11 columns

gene_name

Gene name

tissue

Tissue

gene_start

Gene chromosome : gene start position (b37)

SNP

SNP rs ID

snp_position

SNP chromosome : SNP position (b37)

effect_allele

Effect allele

other_allele

Non effect allele

beta

Effect size

se

Standard error

pval

p-value

n

samplesize

Source

https://scmv-ieugit.epi.bris.ac.uk/gh13047/gtex_data


Data frame of GWAS significant SNPs obtained from the EBI GWAS catalog

Description

Downloaded from EBI on 18/03/2016. Standardised to make units as consistent as possible, trait names, obtain gene annotation. Effect sizes and standard errors are all converted to log odds ratio for binary traits. Ensembl used to identify alleles and effect allele frequency where missing.

Usage

gwas_catalog

Format

A data frame with 22783 rows and 17 columns

Phenotype_simple

Simple phenotype name

Phenotype

This phenotype also has units and details if they are necessary to distinguish different studies

Phenotype_info

Phenotype_info

PubmedID

PubmedID

Author

Author

Year

Year

SNP

SNP

chr

chr

bp_ens_GRCh38

bp_ens_GRCh38

Region

Region

gene

gene

Gene_ens

Gene_ens

effect_allele

effect_allele

other_allele

other_allele

beta

beta

se

se

pval

pval

units

units

eaf

eaf

date_added_to_MRBASE

Date GWAS catalog downloaded and added to MR-Base

Initial_sample_description

Sample size and ancestry description for stage 1 of GWAS (summing across multiple Stage 1 populations, if applicable)

Replication_sample_description

Sample size and ancestry description for subsequent replication(s) (summing across multiple populations, if applicable)

MAPPED_TRAIT_EFO_URI

URI of the EFO trait

MAPPED_TRAIT_EFO

Mapped Experimental Factor Ontology trait for this study

STUDY.ACCESSION

Accession ID allocated to a GWAS Catalog study

Source

https://scmv-ieugit.epi.bris.ac.uk/gh13047/gwas_catalog_standardisation


Data frame of QTLs of metabolites

Description

Data provided by Peter Wurtz and Mika Ala-Korpela ahead of publication

Usage

metab_qtls

Format

A data frame with 1088 rows and 12 columns

phenotype

phenotype

chromosome

chromosome

position

position

SNP

SNP rs ID

effect_allele

Effect allele

other_allele

Non effect allele

eaf

effect allele frequency

beta

Effect size

se

Standard error

pval

p-value

n_studies

number of studies

n

samplesize

Source

unpublished


Data frame of GWAS significant SNPs obtained from the EBI GWAS catalog

Description

Created from the MR-Base database 23/12/2017 The top hits (5e-8) are extracted from these files and then the 1kg European dataset is used to clump the top hits (rsq = 0.001, kb = 10000)

Usage

mrbase_instruments

Format

A data frame with 29792 rows and 16 columns

exposure

This phenotype also has units and details if they are necessary to distinguish different studies

id.exposure

id.exposure

samplesize.exposure

samplesize.exposure

ncase.exposure

ncase.exposure

ncontrol.exposure

ncontrol.exposure

mr_keep.exposure

mr_keep.exposure

pval_origin.exposure

pval_origin.exposure

data_source.exposure

data_source.exposure

SNP

SNP

effect_allele.exposure

effect_allele.exposure

other_allele.exposure

other_allele.exposure

beta.exposure

beta.exposure

se.exposure

se.exposure

pval.exposure

pval.exposure

units.exposure

units.exposure

eaf.exposure

eaf.exposure

Source

http://www.mrbase.org


Data frame of proteomic QTLs from Deming et al 2016

Description

GWAS of immunoassays of 190 protein levels from plasma

Usage

proteomic_qtls

Format

A data frame with 56 rows and 13 columns

analyte

analyte

chr

chr

position

position

SNP

SNP

gene

gene

location

location

annotation

annotation

effect_allele

effect_allele

other_allele

other_allele

eaf

eaf

maf

MAF

pval

pval

beta

beta

se

se

Source

https://scmv-ieugit.epi.bris.ac.uk/gh13047/proteomic_qtls