Skip to main content
. 2017 Jan 25;7:41140. doi: 10.1038/srep41140

Table 2. Characteristics of included studies of rs1344706 with schizophrenia in Chinese populations.

Author, year Diagnostic method Region Case
control
P-value OR 95(%) CI
Sample (N)1 Male (%) Age (mean, SD) Sample (N) Male (%) Age (mean, SD)
Schizophrenia
O’Donovan9 DSM-IV Shanghai 1034 55.1 38.8 (14.1) 1034 50.5 30.0 (8.7) 0.166 1.06 0.94–1.20
Zhang12 DSM-IV Shanxi 566 52.1 34.0 (12.8) 574 57.3 29.1 (13.8) 8.30E-04 1.32 1.12–1.56
  DSM-IV Shanxi 101 schizophrenia trios 0.058 1.20 0.91–1.57
Li15 ICD-10 Yuxi 488 53.1 38.5 (10.4) 694 53.5 37.1 (6.8) 0.876 1.01 0.86–1.19
  DSM-IV Kunming 403 44.4 36.3 (8.7) 604 44.4 36.6 (7.0) 0.489 0.94 0.79–1.12
Yue22 DSM-IV Beijing 746 53.1 34.5 (8.7) 1599 52.9 35.8 (7.8) NA 1.11 0.96–1.29
Shi23 DSM-IV Shanghai and Anhui 1238 55.9 36.2 (12.4) 2856 35.5 60.9 (12.2) 0.250 1.06 0.96–1.16
  DSM-IV Beijing and Shandong 1578 69.8 36.9 (9.3) 1592 50.3 30.8 (11.1) 0.100 0.92 0.83–1.02
  DSM-IV Guangdong and Guangxi 934 58.4 36.3 (16.6) 2020 47.7 56.1 (13.5) 0.420 0.95 0.85–1.07
Wei40 DSM-IV Guangdong 100 53.0 26.5 (6.9) 69 56.5 25.4 (5.7) 0.064 0.66 0.43–1.02
Chen14 ICD-10 Shandong 570 61.5 28.2 (7.8) 448 65.1 23.0 (7.0) 0.013 1.25 1.05–1.49
Liou24 DSM-IV Taiwan 522 55.4 44.1 (9.1) 806 47.5 67.6 (9.4) 0.570 1.05 0.89–1.22
Yang13 DSM-IV Northern China 1024 51.4 27.3 (8.0) 975 49.0 27.7 (8.0) 0.087 1.12 0.98–1.27
Wong16 DSM-IV Sichuan 1086 NA NA 1060 NA NA NA 0.91 0.81–1.02
Wang, 2016 DSM-IV Jiangsu 1284 63.0 45.8 (11.5) 990 55.4 44.9 (10.1) 0.497 0.96 0.85–1.08
Bipolar disorder
Zhang21 DSM-IV Shanghai 746 NA NA 762 NA NA 0.034 1.19 1.03–1.37
Current study DSM-IV Shanghai 528 39.7 42.2 ± 10.4 581 40.3 31.9 ± 11.3 0.028 1.21 1.02–1.43

Note: the studies in bold were GWASs. NA, not available; OR, odds ratio; 95% CI, 95% confidence interval.

1The N represents the number of individuals having genotyping data for rs1344706.