2 research outputs found
An ASSESSMENT OF E-TAX ADMINISTRATION ON TAX REVENUE IN ONDO STATE, NIGERIA
No full textThe study assessed the impact of e-tax administration on tax revenue in Ondo state internal revenue, Nigeria. The study employed survey research design using primary data sourced from the distribution of a well-structured questionnaire to the staff of the Ondo State Board of Internal Revenue (OSBIR). Data collected were analyzed using descriptive and inferential statistics; through frequency counts, mean scores; and Z-test to test the hypotheses formulated. The study revealed that electronic taxation has significant influence on tax evasion as demonstrated by the calculated Z-test score greater than the Z-table score of (1.96 < 6.44); similarly, it was also shown that electronic-taxation can prevent corrupt practices among some tax administrators as revealed by the Z-table score of (1.96 < 3.08). The study concluded that e-taxation can reduce tax evasion in Nigeria as well as truncate corrupt practices among tax officials in Nigeria. It was recommended that OSBIR embrace e-taxation with urgent deployment of robust Information Technology; and encourage regular training of staff and taxpayers sensitization to facilitate smooth running. This will engender a high level of compliance among taxpayers. Also, e-tax ought to be employed in order to ease the related glitches that swindling stakeholders’ interest
Novel functional insights into ischemic stroke biology provided by the first genome-wide association study of stroke in indigenous Africans
No full text\ua9 The Author(s) 2024. Background: African ancestry populations have the highest burden of stroke worldwide, yet the genetic basis of stroke in these populations is obscure. The Stroke Investigative Research and Educational Network (SIREN) is a multicenter study involving 16 sites in West Africa. We conducted the first-ever genome-wide association study (GWAS) of stroke in indigenous Africans. Methods: Cases were consecutively recruited consenting adults (aged > 18 years) with neuroimaging-confirmed ischemic stroke. Stroke-free controls were ascertained using a locally validated Questionnaire for Verifying Stroke-Free Status. DNA genotyping with the H3Africa array was performed, and following initial quality control, GWAS datasets were imputed into the NIH Trans-Omics for Precision Medicine (TOPMed) release2 from BioData Catalyst. Furthermore, we performed fine-mapping, trans-ethnic meta-analysis, and in silico functional characterization to identify likely causal variants with a functional interpretation. Results: We observed genome-wide significant (P-value < 5.0E−8) SNPs associations near AADACL2 and miRNA (MIR5186) genes in chromosome 3 after adjusting for hypertension, diabetes, dyslipidemia, and cardiac status in the base model as covariates. SNPs near the miRNA (MIR4458) gene in chromosome 5 were also associated with stroke (P-value < 1.0E−6). The putative genes near AADACL2, MIR5186, and MIR4458 genes were protective and novel. SNPs associations with stroke in chromosome 2 were more than 77 kb from the closest gene LINC01854 and SNPs in chromosome 7 were more than 116 kb to the closest gene LINC01446 (P-value < 1.0E−6). In addition, we observed SNPs in genes STXBP5-AS1 (chromosome 6), GALTN9 (chromosome 12), FANCA (chromosome 16), and DLGAP1 (chromosome 18) (P-value < 1.0E−6). Both genomic regions near genes AADACL2 and MIR4458 remained significant following fine mapping. Conclusions: Our findings identify potential roles of regulatory miRNA, intergenic non-coding DNA, and intronic non-coding RNA in the biology of ischemic stroke. These findings reveal new molecular targets that promise to help close the current gaps in accurate African ancestry-based genetic stroke’s risk prediction and development of new targeted interventions to prevent or treat stroke
