These summary statistics represent Type 2 diabetes case-control analyses in the Japanese population as represented 
in the BioBank Japan.

In GWAS1 and GWAS2, we used case and control individuals registered in the BioBank Japan (BBJ) project, Osaka-Midousuji Rotary Club 
and Pharma SNP consortium, as previously analyzed and reported.

For the case samples in GWAS3 and GWAS4, we selected participants 40 years of age or older from the BBJ project who had type 2 diabetes 
but did not have type 1 diabetes, mitochondrial diabetes, mature-onset diabetes of the young or any types of diabetes other than type 2 
diabetes. The subtype of diabetes was extracted from medical records in which diagnosis was made by physicians at the participating hospitals.

Data were imputed to 1000 Genomes project phase 3 (1KG Phase 3; May 2013) as a reference panel in the 4 case-control subsets.
A total of 12,557,761 variants were analyzed.

Association analysis of autosomes of GWAS1–GWAS4 was performed independently with mach2dat (1.0.24) with adjustment for age, sex and 
ten principal components, by assuming an additive model. After filtering of variants with minimac3 imputation quality score (r2)?>?0.3, 
the four GWAS were meta-analyzed with the inverse-variance method under a fixed-effect model with METAL. Variants that had MAF?>0.001 and 
were reported in at least two of the four GWAS were selected after the meta-analysis. For X chromosomes, we performed association analyses 
in males and females separately in each GWAS, using mach2dat with adjustment for age and ten principal components. We selected SNPs with 
minimac3 imputation quality score (r2)?> 0.3. We integrated the results of males and females in each GWAS through the inverse-variance method 
under the assumption of full dosage compensation and fixed-effect model. We followed the same procedure as that in autosomes for subsequent steps.

If you use these statistics please cite the following publication:

Low SK et al.
Identification of six new genetic loci associated with atrial fibrillation in the Japanese population.
Nat Genet. 2017 Jun;49(6):953-958. doi: 10.1038/ng.3842. Epub 2017 Apr 17.

The column headings in the results file are as follows:

SNP	CHR	POS	REF	ALT	Frq	BETA	SE	P	Dir	HetP	N