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 (r(2)>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.
journal_name
Schizophr Resjournal_title
Schizophrenia researchauthors
Chen J,Lee G,Fanous AH,Zhao Z,Jia P,O'Neill A,Walsh D,Kendler KS,Chen X,International Schizophrenia Consortium.doi
10.1016/j.schres.2011.06.023subject
Has Abstractpub_date
2011-09-01 00:00:00pages
43-51issue
1-3eissn
0920-9964issn
1573-2509pii
S0920-9964(11)00360-4journal_volume
131pub_type
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更新日期：2013-01-01 00:00:00
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更新日期：2015-10-01 00:00:00
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