GWAS summary statistics from Campos et al. (2023)
We provide summary statistics from a GWAS meta-analysis of 7 traits measured in East-Asian participants from Biobank Japan (BBJ), Taiwan Biobank (TWB) and Korean Genome and Epidemiology Study (KoGES). These traits are: Triglycerides (TG), Type 2 Diabetes (T2D), Standing Height, Body Mass Index (BMI), LDL cholesterol (LDL), HDL cholesterol (HDL), and Diastolic Blood Pressure (DBP).

Each trait was analysed under 4 models:
(1) Standard model ("_std"); (2) Adjusted for a polygenic score (PGS) derived from a large GWAS of the corresponding conducted in an European ancestry population ("_EURpgsadj"); (3) Adjusted for multiple PGS derived from other East-Asian cohort ("_multipgsadj"); (4) A two-stage meta-analysis ("_MAPGSadj")

Each file has 19 columns. We describe below each column name
SNP : SNP ID (rs number)
CHR : Chromosome 
BP : genomic position
A1 : Tested Allele
A2 : Alternative Allele
FREQ : Frequency of the tested allele (A1)
N : Sample size
BETA_std : Per Allele Effect (in trait standard deviation) - _std analysis
SE_std : Standard error - std analysis
P_std : P-value - _std analysis
BETA_EURpgsadj : Per Allele Effect (in trait standard deviation) - _EURpgsadj analysis
SE_EURpgsadj: Standard error - _EURpgsadj analysis 
P_EURpgsadj : Two-sided P-value - _EURpgsadj analysis 
BETA_multipgsadj : Per Allele Effect (in trait standard deviation) - _multipgsadj analysis
SE_multipgsadj : Standard error - _multipgsadj analysis
P_multipgsadj : Two-sided P-value - _multipgsadj analysis
BETA_MAPGSadj : Per Allele Effect (in trait standard deviation) - _MAPGSadj analysis
SE_MAPGSadj : Standard error - _MAPGSadj analysis
P_MAPGSadj: Two-sided P-value - _MAPGSadj analysis