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. 2020 Nov 17;18:327. doi: 10.1186/s12916-020-01797-2

Table 1.

Description of the nine risk factors with available genetic data from GWAS

Risk factor (units) Number* of SNPs GWAS Catalog accession number Study reference Sample size Population
Alcohol consumption (drinks per week) 98 GCST007472 Liu et al. [24] 1,039,210 100% European
Body mass index (adult, kg/m2) 100 GCST006368 Hoffmann et al. [25] 334,487 81% European
Height (adult, m) 112 GCST002647 Wood et al. [26] 253,288 100% European
Mammographic density (dense vs non-dense area) 5 GCST002667 Lindström et al. [27] 16,015** 100% European
Menarche (age at onset) 82 GCST002541 Perry et al. [28] 182,413** 100% European
Menopause (age at onset) 34 GCST005312 Day et al. [29] 69,626** 100% European
Physical activity (overall physical activity time) 3 GCST006912 Doherty et al. [30] 91,105 100% European
Smoking behaviour (ever vs never) 119 GCST007327 Karlsson Linnér et al. [31] 518,633 100% European
Type 2 diabetes mellitus (yes vs no) 95 GCST006867 Xue et al. [32] 659,316 (62,892 cases and 596,424 controls) 99% European

*The number of SNPs here may be lower than in the GWAS due to filtering (see the “Methods” section)

**Partial overlap with samples from BCAC

Defined as the average number of drinks a participant reported drinking each week, aggregated across all types of alcohol

This is a binary phenotype. Participants who reported ever being a regular smoker in their life (current or former) were coded “2”, while participants who reported never being a regular smoker in their life were coded “1”