CARDIoGRAMplusC4D 1000 Genomes-based GWAS is a meta-analysis of GWAS studies of mainly European, 
South Asian, and East Asian, descent imputed using the 1000 Genomes phase 1 v3 training set with 
38 million variants. The study interrogated 9.4 million variants and involved 60,801 CAD cases 
and 123,504 controls. Data as published in: CARDIoGRAMplusC4D Consortium, M Nikpey, A Goel, H Won, 
LM Hall C. Willenborg, S Kanoni, D Saleheen et al. A comprehensive 1000 Genomes–based genome-wide 
association meta-analysis of coronary artery disease. Nat Genet 2015 47:1121-1130.

In the 1000 Genomes-based GWAS meta-analyses adjustment was for study-specific covariates only.

1000 Genomes-based GWAS files are in text delimited format and include:

Markername, chr, bp_hg19, effect_allele, noneffect_allele, effect_allele_freq, median_info, model, beta, se_dgc, p_dgc, het_pvalue, n_studies. 

The 3 results files correspond to 
(i) all cases analysed with an additive model, 
(ii) all cases analysed with a recessive model, and 
(iii) all MI cases with an additive model.

1 beta = ln(OR)
2 used to combine stage 1 and stage 2 data for SNPs with same direction of effect
3 the random model was used for SNPs with p values below 0.01

Data disclaimer
These data are intended for research purposes only. The sample size and precision of the data 
presented should preclude de-identification of any individual subject. However, in downloading 
these data, you undertake not to attempt to de-identify individual subjects.

Acknowledging the data
When using data from the downloadable meta-analyses results please acknowledge the source of 
the data as follows: 'Data on coronary artery disease / myocardial infarction have been 
contributed by CARDIoGRAMplusC4D investigators and have been downloaded from 
www.CARDIOGRAMPLUSC4D.ORG'. For the Exome chip study please acknowledge the source of the 
data as follows: 'Data on coronary artery disease / myocardial infarction have been contributed 
by the Myocardial Infarction Genetics and CARDIoGRAM Exome investigators and have been downloaded 
from www.CARDIOGRAMPLUSC4D.ORG'. In addition, please cite the relevant paper(s) for the data used.

Contact
For any enquiries about the datasets, please contact the following individuals:

CARDIoGRAM: Nilesh J Samani or Jeanette Erdmann
C4D: Hugh Watkins or Jemma Hopewell
CARDIoGRAMplusC4D: Panos Deloukas or Stavroula Kanoni
CARDIoGRAMplusC4D 1000 Genomes-based GWAS: Anuj Goel or Martin Farrall
Myocardial Infarction Genetics and CARDIoGRAM Exome chip: Nathan Stitziel or Sekar Kathiresan