Literature DB >> 32504404

Polymorphism in the 3'-UTR of LIF but Not in the ATF6B Gene Associates with Schizophrenia Susceptibility: a Case-Control Study and In Silico Analyses.

Mahdiyeh Moudi1, Saman Sargazi2, Milad Heidari Nia3, Ramin Saravani4,5, Milad Shirvaliloo6,7, Mansoor Shakiba8,9.   

Abstract

Schizophrenia (SCZ) is a multifactorial disorder caused by environmental and genetic factors. Studies have shown that various single-nucleotide polymorphisms (SNPs) in the binding sites of microRNAs contribute to the risk of developing SCZ. We aimed to investigate whether the variants located in the 3'-UTR region of LIF (rs929271T>G) and ATF6B (rs8283G>A) were associated with increased susceptibility to SCZ in a population from the south-east of Iran. In this case-control study, a total of 396 subjects were recruited. SNPs were genotyped via polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Genotyping results showed that the G allele of rs929271 significantly increased the risk of SCZ (OR = 1.58 95%CI = 1.19-2.10, p = 0.001). As for rs929271, the GG genotype of co-dominant (OR = 2.54 95%CI = 1.39-4.64, p = 0.002) and recessive (OR = 2.91 95%CI = 1.77-4.80, p < 0.001) models were strongly linked to SCZ. No significant differences were observed between rs8283 polymorphism and predisposition to SCZ. In silico analyses predicted that rs929271 might alter the binding sites of microRNAs, which was believed to have an unclear role in the development of SCZ. Moreover, rs929271 polymorphism changed the LIF-mRNA folding structure. These findings provide fine pieces of evidence regarding the possible effects of LIF polymorphism in the development of SCZ and regulation of the LIF gene targeted by microRNAs.

Entities:  

Keywords:  ATF6B; In silico; LIF; MicroRNAs; Schizophrenia

Year:  2020        PMID: 32504404     DOI: 10.1007/s12031-020-01616-6

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  6 in total

1.  Functional Variants of miR-143 Are Associated with Schizophrenia Susceptibility: A Preliminary Population-Based Study and Bioinformatics Analysis.

Authors:  Saman Sargazi; Fariba Mirani Sargazi; Milad Heidari Nia; Roghayeh Sheervalilou; Ramin Saravani; Shekoufeh Mirinejad; Mansoor Shakiba
Journal:  Biochem Genet       Date:  2021-09-13       Impact factor: 1.890

2.  Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.

Authors:  Madhu Pujar; Basavaraj Vastrad; Satish Kavatagimath; Chanabasayya Vastrad; Shivakumar Kotturshetti
Journal:  Sci Rep       Date:  2022-06-01       Impact factor: 4.996

3.  HSPB1 Gene Variants and Schizophrenia: A Case-Control Study in a Polish Population.

Authors:  Malgorzata Kowalczyk; Krzysztof Kucia; Aleksander Owczarek; Renata Suchanek-Raif; Monika Paul-Samojedny; Piotr Choreza; Jan Kowalski
Journal:  Dis Markers       Date:  2022-03-15       Impact factor: 3.434

4.  Multiple Recurrent Copy Number Variations (CNVs) in Chromosome 22 Including 22q11.2 Associated with Autism Spectrum Disorder.

Authors:  Safiah Alhazmi; Maryam Alzahrani; Reem Farsi; Mona Alharbi; Khloud Algothmi; Najla Alburae; Magdah Ganash; Sheren Azhari; Fatemah Basingab; Asma Almuhammadi; Amany Alqosaibi; Heba Alkhatabi; Aisha Elaimi; Mohammed Jan; Hesham M Aldhalaan; Aziza Alrafiah; Aisha Alrofaidi
Journal:  Pharmgenomics Pers Med       Date:  2022-07-20

5.  Relationship between Single Nucleotide Polymorphisms of GRHL3 and Schizophrenia Susceptibility: A Preliminary Case-Control Study and Bioinformatics Analysis.

Authors:  Saman Sargazi; Milad Heidari Nia; Roghayeh Sheervalilou; Shekoufeh Mirinejad; Mahdiyeh Harati-Sadegh; Mahdiyeh Moudi; Ramin Saravani; Mansoor Shakiba
Journal:  Int J Mol Cell Med       Date:  2020-08-10

6.  Functional Polymorphisms in the p53 Pathway Genes on the Genetic Susceptibility to Zika Virus Teratogenesis.

Authors:  Julia A Gomes; Eduarda Sgarioni; Igor A Vieira; Lucas R Fraga; Patrícia Ashton-Prolla; Ana Cláudia P Terças-Tretell; Juliana H da Silva; Bethânia F R Ribeiro; Marcial F Galera; Thalita M de Oliveira; Maria Denise F Carvalho de Andrade; Isabella F Carvalho; Lavínia Schuler-Faccini; Fernanda S L Vianna
Journal:  Front Cell Infect Microbiol       Date:  2021-07-07       Impact factor: 5.293

  6 in total

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