ArticleMolecular neurobiology2017
The Interaction of TXNIP and AFq1 Genes Increases the Susceptibility of Schizophrenia.
Article in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Mortality of site-specific cancer in patients with schizophrenia: a systematic review and meta-analysis.BMC psychiatry · 2019Pooled it
- Thioredoxin system: mechanisms and therapeutic potential in mental disorders.Frontiers in pharmacology · 2026Review
- Mllt11 Regulates Migration and Neurite Outgrowth of Cortical Projection Neurons during Development.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- PPARD May Play a Protective Role against the Development of Schizophrenia.PPAR research · 2020Article
- Double-Edged Sword of Tumour Suppressor Genes in Schizophrenia.Frontiers in molecular neuroscience · 2019Review
- Research Progress in Biological Studies of Schizophrenia in China in 2017.Shanghai archives of psychiatry · 2018Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although previous studies showed the reduced risk of cancer in patients with schizophrenia, whether patients with schizophrenia possess genetic factors that also contribute to tumor suppressor is still unknown. In the present study, based on our previous microarray data, we focused on the tumor suppressor genes TXNIP and AF1q, which differentially expressed in patients with schizophrenia. A total of 413 patients and 578 healthy controls were recruited. We found no significant differences in genotype, allele, or haplotype frequencies at the selected five single nucleotide polymorphisms (SNPs) (rs2236566 and rs7211 in TXNIP gene; rs10749659, rs2140709, and rs3738481 in AF1q gene) between patients with schizophrenia and controls. However, we found the association between the interaction of TXNIP and AF1q with schizophrenia by using the MDR method followed by traditional statistical analysis. The best gene-gene interaction model identified was a three-locus model TXNIP (rs2236566, rs7211)-AF1q (rs2140709). After traditional statistical analysis, we found the high-risk genotype combination was rs2236566 (GG)-rs7211(CC)-rs2140709(CC) (OR = 1.35 [1.03-1.76]). The low-risk genotype combination was rs2236566 (GT)-rs7211(CC)-rs2140709(CC) (OR = 0.67 [0.49-0.91]). Our finding suggested statistically significant role of interaction of TXNIP and AF1q polymorphisms (TXNIP-rs2236566, TXNIP-rs7211, and AF1q-rs2769605) in schizophrenia susceptibility.
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