This page holds information about datasets and code used in our papers. Our intention is to make the data and code we have used accessible. If anything is unclear, please report it as an issue so I (and you) can track it. If you really don’t want to use github, as a last resort, email =cew54= at =cam.ac.uk=.

GWAS

ATD ImmunoChip

Need to be requested from the original study authors https://www.ncbi.nlm.nih.gov/pubmed/22922229

Coeliac ImmunoChip

Primary analysis is by Trynka et al. Genotype data is hosted by the European Bioinformatics Institute, under accession number EGAS00000000053.

MS ImmunoChip

MS ImmunoChip data was accessed through application to the International Multiple Sclerosis Genetic Consortium (IMSGC). Primary analysis of these data is presented in http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882906/ and the dbGaP accession number for the US cohort is phs000357.v2.p2.

RA ImmunoChip

Primary analysis was by Eyre et al and data were accessed through a request to the authors.

T1D ImmunoChip

is available from dbGaP

T1D GWAS

2000 T1D samples were genotyped as part of the WTCCC (and controls) - data access is described https://www.wtccc.org.uk/info/access_to_data_samples.html. An additional 4000 cases were genotyped by the T1DGC, available at https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000180.v3.p2

Autoantibody data on T1D subjects is available by contacting study authors from http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1002216.

ImmunoChip summary statistics

ImmunoBase: ImmunoChip summary GWAS statistics from multiple studies used to be nicely curated and available from ImmunoBase if you first register (free) then go to =Data..downloads= on the right, then click through to =data/immunochip/association_stats=. I’m not sure how to access it now.

Expression data

Fairfax eQTL data

Ben Fairfax has published eQTL papers on sorted cells (monocytes, stimulated monocytes, B cells) from close to 300 samples. The expression data are freely available, but the genotype data require a data access agreement, available as detailed in either paper.

Fairfax et al. (2012) Genetics of gene expression in primary immune cells identifies cell type-specific master regulators and roles of HLA alleles. Nat. Genet. 44, 502-510

gene expression data: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-945; genotyping data: http://www.ebi.ac.uk/ega/EGAD00010000144.

Fairfax et al. (2014) Innate immune activity conditions the effect of regulatory variants upon monocyte gene expression. Science 343, 1246949

gene expression data: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-2232; genotyping data: http://www.ebi.ac.uk/ega/EGAD00010000144, http://www.ebi.ac.uk/ega/EGAD00010000520.

Cusanovich et al’s transcription factor knockdown

See http://europepmc.org/abstract/MED/24603674 for the paper. This dataset has a special place in my heart, as we requested it after Cusanovich posted a preprint and it was shared quickly and freely. As a result, I /think/ our paper using this data was actually preprinted and submitted before the Cusanovich paper was formally published in a journal. A true example of preprint publishing furthering research.

BABYDIET gene expression

PBMC gene expression from longitudinally sampled children at risk of type 1 diabetes, described by Ferreira et al.

http://www.ebi.ac.uk/arrayexpress, accession no. E-MTAB-1724

T1D gene expression

The T1D PBMCs were collected as part of the Genetic Resource Investigating Diabetes (GRID) cohort collection (http://www.childhood-diabetes.org.uk/grid.shtml). Expression data at http://www.ebi.ac.uk/arrayexpress, accession no. E-MTAB-1724

Asthma gene expression

Asthma cohort described by Bjornsdottir et al. (2011). Raw and normalized data are deposited with ArrayExpress ( http://www.ebi.ac.uk/arrayexpress/, E-GEOD-19301).

Cardiogenics eQTL data

Garnier S et al. (2013) Genome-wide haplotype analysis of cis expression quantitative trait Loci in monocytes PLoS Genet. 9(1):e1003240

Monocytes eQTL study available from EGA: https://www.ebi.ac.uk/ega/studies/EGAS00001000411