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. 2020 Jun 25;107(2):222–233. doi: 10.1016/j.ajhg.2020.06.003

Table 1.

Summary Information of the 12 Phenotypes in UK Biobank Data Analysis

Phenotype PheCode # of Events (Affected Individual) Event Rate Mean (SD) of Age at Event # of Significant Locia
Essential hypertension 401.1 76,566 27.09% 62.7 (7.67) 204 (23)
Abdominal hernia 550 45,957 16.26% 59.88 (9) 45 (0)
Hyperlipidemia 272.1 35,623 12.60% 63.4 (7.52) 70 (1)
Osteoarthrosis 740 29,071 10.29% 62.88 (7.96) 22 (5)
Cardiac dysrhythmias 427 25,585 9.05% 63.08 (8.58) 29 (1)
Asthma 495 25,240 8.93% 58.33 (9.74) 74 (2)
Cataract 366 22,635 8.01% 65.94 (7.3) 24 (2)
Coronary atherosclerosis 411.4 19,079 6.75% 62.38 (7.41) 69 (2)
Type 2 diabetes 250.2 18,557 6.57% 62.76 (7.91) 70 (2)
Parkinson disease 332 1,345 0.48% 66.7 (7.08) 1 (0)
Alzheimer disease 290.11 641 0.23% 70.53 (5.09) 2 (0)
Schizophrenia 295.1 551 0.19% 65.26 (8.24) 1 (0)
a

Number of significant loci based on the SPACox method (and number of not significant loci based on SPACC). Using significance level 5×10-8, we identified a total of 611 loci with a SPACox p value < 5 × 10-8, of which, 38 loci did not reach genome-wide significance in SPACC (p value > 5 × 10-8). We clustered variants within the 200 kb region or at the same gene region as one locus.