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. 2022 Feb 3;51(3):885–897. doi: 10.1093/ije/dyac002

Table 1.

Summary characteristics for each GWAS used to derive external weights in polygenic scores

Phenotype Author/consortium Population Sample size (cases) Unit
Alcohol consumption GWAS and Sequencing Consortium of Alcohol and Nicotine Use19 European ancestry (summary statistics excluding UK Biobank) 630 154 Drinks per week
Body mass index Genetic Investigation of Anthropometric Traits20 European ancestry 339 224 SD (kg/m2)
Low-density lipoprotein cholesterol Global Lipids Genetics consortium22 European ancestry 188 578 SD (circulating lipids)
Smoking Wootton et al.23 White British (split sample GWAS of UK Biobank; see Supplementary Methods, available as Supplementary data at IJE online) 318 147 SD (lifetime smoking index)
Systolic blood pressure Carter et al.18 White British (split sample GWAS of UK Biobank; see Supplementary Methods, available as Supplementary data at IJE online) 318 147 SD (mm/Hg)
Atrial fibrillation Roselli et al.24 Predominantly European (84.2%) 588 190 (65 446) Log odds ratio
Coronary heart disease CARDIoGRAMplusC4D6 Predominantly European (77%) 184 305 (60 801) Log odds ratio
Type 2 diabetes DIAbetes Genetics Replication And Meta-analysis21 European ancestry 159 208 (26 276) Log odds ratio
Stroke MEGASTROKE7 Predominantly European (85%) 521 612 (67 162) Log odds ratio

SD, standard deviation; GWAS, genome-wide association study.