Myocardial Infarction Genetics and CARDIoGRAM Exome is a meta-analysis of Exome-chip studies of 
European descent involving 42,335 patients and 78,240 controls. Results for low-frequency (1-5% 
minor allele frequency MAF)) and rare (MAF < 1%) coding variants were published in  Myocardial 
Infarction Genetics and CARDIoGRAM Exome Consortia Investigators, Stitziel NO, Stirrups KE, 
Masca NG, Erdmann J, et al. Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary 
Disease/. N Engl J Med. 2016 Mar 24;374(12):1134-44. doi: 10.1056/NEJMoa15076522. Results for 
common variants were published in Webb TR, Erdmann J, Stirrups KE, Stitziel NO, Masca NG, et al. 
Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery 
Disease. J Am Coll Cardiol. 2017 Feb 21;69(7):823-836. doi: 10.1016/j.jacc.2016.11.056.

Files are in text delimited format and include:

Exome chip

SNP ID, chromosomal position (hg19), effect_allele, other allele, effect_allele_freq, log_OR, P value, se, No_samples, Heterogeneity p value. 

Analysis was performed using an additive model.

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