Coronary artery GWAS results from the Biobank Japan Project (2020).

[ File names ]

BBJ_CAD_2020.sumstats.gz
BBJ_CAD_2020.prs.gz


[ File information ]

BBJ_CAD_2020.sumstats.gz
- Number of samples 168,228 (25,892 cases and 142,336 controls)
- Number of variants tested 19,707,525
- Only variants with minor allele frequency 竕･0.0002
- Effect allele = alternative allele
- Positions are based on hg19
- Association test was performed using PLINK2, logistic regression model

BBJ_CAD_2020.prs.gz
- Weights for polygenic risk scoring
- Number of variants 75,028
- Derived from transethnic meta-analysis combining the current study, Nikpay et. al., and Harst et. al.

Reference:
Nikpay, M. et al. A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. Nat. Genet. 47, 1121窶�1130 (2015).
van der Harst, P. & Verweij, N. Identification of 64 novel genetic loci provides an expanded view on the genetic architecture of coronary artery disease. Circ. Res. 122, 433窶�443 (2018).


[ Column information ]

BBJ_CAD_2020.sumstats.gz
CHR: Chromosome name
POS: Genomic position
REF: Reference allele
ALT: Alternative allele
AAF: Alternative allele frequency
BETA: Effect size of alternative allele
SE: Standard error of BETA
P: P-value
N: Sample size

BBJ_CAD_2020.prs.gz
SNPID: Variant ID(CHR:POS:REF:ALT)
CHR: Chromosome name
POS: Genomic position
EA: Effect allele(Alternative allele)
BETA: Weight for alternative allele


If you use these date, please cite the following paper:
Koyama, S., Ito, K. et.al. Population-specific and transethnic genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease. Nat Genet in Press


For any enquiries about the datasets, please contact the following individuals:
Satoshi KOYAMA (satoshi.koyama@riken.jp) 
Kaoru ITO (kaoru.ito@riken.jp)