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. 2015 Mar 18;10(3):e0119570. doi: 10.1371/journal.pone.0119570

Table 1. Characteristics of subjects without AMD, with early AMD and with any AMD.

Demographics All (N = 4918) a Without AMD (N = 4626) With Early AMD (N = 274) With Any AMD (N = 292) P Value b P Value c
Age (yrs) 58.54 (10.45) 58.07 (10.28) 66.02 (10.31) 66.1 (10.27) <0.001 <0.001
Female 2441 (49.63) 2332 (50.41) 105 (38.32) 109 (37.33) <0.001 <0.001
Current smokers 872 (17.76) 828 (17.92) 39 (14.34) 44 (15.17) 0.133 0.235
Hypertension 3097 (63.23) 2863 (62.16) 217 (79.20) 234 (80.14) <0.001 <0.001
Diabetes 1395 (28.69) 1304 (28.51) 86 (31.73) 91 (31.49) 0.254 0.278
Hyperlipidaemia 2119 (43.63) 1976 (43.25) 134 (49.63) 143 (49.65) 0.040 0.034
Chronic kidney disease 761 (15.48) 688 (14.88) 69 (25.18) 73 (25.00) <0.001 <0.001
CFH rs10801555
GG 3333 (67.77) 3144 (67.96) 180 (65.59) 189 (64.73)
GA 1357 (27.59) 1276 (27.58) 75 (27.37) 81 (27.74) 0.160 0.049
AA 228 (4.64) 206 (4.45) 19 (6.93) 22 (7.53)
ARMS2 rs3750847
CC 1992 (40.50) 1885 (40.75) 103 (37.59) 107 (36.53)
CT 2257 (45.89) 2133 (46.11) 111 (40.51) 124 (42.47) <0.001 <0.001
TT 669 (13.60) 608 (13.14) 60 (21.90) 61 (20.89)

Data presented are no. (%), except for age, which is presented as mean (SD). Analysis was done by individual level.

a Number of subjects with missing data for the following variables: current smokers, 8; hypertension, 20; diabetes, 55; hyperlipidaemia, 61; chronic kidney disease, 1.

b For comparison between individuals without AMD vs with early AMD, using chi-square tests for categorical variables, and two sample t-tests for continuous variables.

c For comparison between individuals without AMD vs with any AMD, using chi-square tests for categorical variables, and two sample t-tests for continuous variables.