Chen, J., Lee, G., Fanous, A.H., Zhao, Z., Jia, P., O'neill, A., Walsh, D., Kendler, K.S., Chen, X., O'Donovan, M.C. ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Abstract
We conducted data-mining analyses of genome wide association (GWA) studies of the CATIE and MGS-GAIN datasets, and found 13 markers in the two physically linked genes, PTPN21 and EML5, showing nominally significant association with schizophrenia. Linkage disequilibrium (LD) analysis indicated that all 7 markers from PTPN21 shared high LD (r2 > 0.8), including rs2274736 and rs2401751, the two non-synonymous markers with the most significant association signals (rs2401751, P = 1.10 × 10− 3 and rs2274736, P = 1.21 × 10− 3). In a meta‐analysis of all 13 replication datasets with a total of 13,940 subjects, we found that the two non-synonymous markers are significantly associated with schizophrenia (rs2274736, OR = 0.92, 95% CI: 0.86–0.97, P = 5.45 × 10− 3 and rs2401751, OR = 0.92, 95% CI: 0.86–0.97, P = 5.29 × 10− 3). One SNP (rs7147796) in EML5 is also significantly associated with the disease (OR = 1.08, 95% CI: 1.02‐1.14, P = 6.43 × 10− 3). These 3 markers remain significant after Bonferroni correction. Furthermore, haplotype conditioned analyses indicated that the association signals observed between rs2274736/rs2401751 and rs7147796 are statistically independent. Given the results that 2 non-synonymous markers in PTPN21 are associated with schizophrenia, further investigation of this locus is warranted.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Medicine |
Date of Acceptance: | 20 June 2011 |
Last Modified: | 25 Nov 2022 12:17 |
URI: | https://orca.cardiff.ac.uk/id/eprint/128289 |
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