Genomic DNA was extracted from peripheral blood leukocytes using a blood DNA kit (QIAGEN, Hilden, Germany). In the discovery phase, 730,525 SNPs were genotyped using Illumina Human Omni Express BeadChips (Illumina, San Diego, CA, USA). We performed a standard quality control procedure to exclude SNPs with a low call rate (<95%),
P value of Hardy-Weinberg equilibrium test of <1.0 × 10
−5 in controls, and minor allele frequency (MAF) of <0.05 in each stage. Finally, we analyzed 548,653 SNPs in the GWAS and evaluated the association of SNPs with CSC using the Cochran-Armitage trend test (CATT). In the nominal data, we selected the SNPs with a suggestive significance threshold of
P values < 5 × 10
−6 for replication. After visual inspection of cluster plots to exclude the SNPs that did not fit to cluster boundaries, SNPs that were located at annotated genes were further examined in the replication study using the TaqMan SNP Genotyping Assays (Applied Biosystems, Foster City, CA, USA) on StepOnePlus Real-Time PCR System (Applied Biosystems) in accordance with the manufacturer's instructions. As the second control, an imputation data set was derived from the HumanCoreExome-12 v1.1 BeadChips for 2071 samples (Illumina) of population-based volunteers recruited by the Aichi Cancer Center Research Institute. Before imputation, a sample quality control was performed using PLINK v1.90 (
https://www.cog-genomics.org/plink2, in the public domain) and EIGENSOFT 6.0.1 (
https://www.hsph.harvard.edu/alkes-price/software, provided by Harvard T. H. Chan, Boston, MA, USA) to exclude cases with a call rate < 98%, duplicate or closely related pairs of samples (pairs of individuals with a relatedness measure [pi-hat] > 0.1875) detected by identity-by-descent (IBD) analysis, and cases regarded as the outlier in a principal component analysis with 1000 Genomes Project phase 3. Among 542,585 SNPs that were genotyped with the array, SNPs with a low call rate (<98%),
P value of Hardy-Weinberg equilibrium test of <1.0 × 10
−6 in controls, MAF of <0.01, and a departure from the allele frequency computed from the 1000 Genomes Project phase 3 EAS samples were excluded. Finally, 248,185 SNPs were selected for imputation. Prephasing and imputation were performed using SHAPEIT2 (
https://mathgen.stats.ox.ac.uk/genetics_software/shapeit/shapeit.html, in the public domain) and Minimac3 (
https://genome.sph.umich.edu/wiki/Minimac3, in the public domain), respectively. Postimputation quality control was performed by excluding SNPs with insufficient imputation quality score (IQS) (
r2 < 0.7). Genome build information in the present study was GRCh37/hg19 (
https://www.ncbi.nlm.nih.gov/assembly/GCF_000001405.13, in the public domain).