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Background and aim: Preeclampsia (PE) is characterized by hypertension and proteinuria mostly after 20 weeks of gestation. It affects 2–8% of pregnancies worldwide, with detrimental consequences for both mother and foetus. Evidence, suggests that genetic factors, including vitamin D receptor (VDR) gene polymorphisms, could contribute to PE complexity. However, their role in the Ghanaian population remains underexplored. We assessed the interplay between Vitamin D, VDR gene variants and preeclampsia risk in Ghanaian women. Methods: This unmatched case-control study was conducted at Kumasi South Hospital, Ghana, from June to November 2022. A total of 162 participants consisting of 62 PE cases and 100 normotensive controls were enrolled. Clinical and obstetric data were collected. Blood samples were also collected for DNA extraction and vitamin D assay. Genotyping of VDR Fok1 and Bsm1 gene variants was performed using Polymerase Chain Reaction (PCR) and Polymerase Chain Reaction—Restriction Fragment Length Polymorphism (PCR-RFLP) analysis whereas Vitamin D levels were estimated using sandwich ELISA. Statistical analyses were computed with SPSS version 25 and GraphPad prism version 8.0. A p-value of < 0.05 was considered statistically significant. Results: Vitamin D concentration were significantly lower in the PE group (p < 0.0001). Vitamin D deficiency (aOR = 3.311, 95% CI: 1.584–6.921, p = 0.0010) was significantly associated with a three-fold increase in preeclampsia risk, whilst VDR gene variants, particularly the "bb" genotype (cOR = 0.227, 95% CI: 0.055–0.944, p = 0.0410) was associated with reduced risk of PE. There was no association between the distribution of Fok1 genotypes and PE. Conclusion: This study highlights a significant association between vitamin D deficiency and an increased risk of PE among Ghanaian women. However, the VDR gene variant, "bb", genotype, for Bsm1 reduces the risk of PE. [ABSTRACT FROM AUTHOR]

Indigenous and were used to study genetic diversity and population structure analyses. Polymorphism information content (PIC) values ranged from 0.0 to 0.5, with 21,285 SNP markers (35%) being in the lowest PIC value range (0 to 0.15) while 13,511 (commercial chickens have developed unique adaptations to their environments, which may include nutrition, pathogens, and thermal stress. Besides, environmental pressures and artificial selection have generated significant genome-wide divergence in chickens, as those selection pressures contribute a considerable evolutionary force to phenotypic and genotypic differentiation. Herein, we determined genomic diversity of indigenous chickens from semi-deciduous rainforest (SDR), coastal savannah (CS) and Guinea savannah (GS) agro-ecological zones (AEZs) in Ghana and commercial crossbreds (CC) reared at the Kwame Nkrumah University of Science and Technology (KNUST). We generated SNP markers from 82 chickens (62 indigenous chicken ecotypes and 26 commercial crossbred ecotype) using DArT-Seq technology. A total of 85,396 SNP markers were generated and after filtering the data, 58,353 markers 21%) were in the highest PIC value range (0.45 to 0.50). The CC were more genetically diverse than the indigenous birds, with the highest expected heterozygosity value of 0.220. Between the commercial crossbreds population and the indigenous ecotypes, pairwise FST values were estimated to be 0.105 between CS, 0.096 between SDF, and 0.133 between GS. Furthermore, PCA analysis showed that the CC, SDF and GS chickens clustered together and are genetically distant from the commercial crossbred. We herein show that chickens from the AEZs studied can be considered as one population. However, due the abundance of agro-byproducts in the SDR compared to the CS and GS, chickens from the SDR AEZ had better growth compared to their counterparts. It is suggested that the genetic diversity within the local ecotypes could form the basis for genetic improvement. [ABSTRACT FROM AUTHOR]

Diversity analysis using molecular markers serves as a powerful tool in unravelling the intricacies of inclusivity within various populations and is an initial step in the assessment of populations and the development of inbred lines for host plant resistance in maize. This study was conducted to assess the genetic diversity and population structure of 242 newly developed S3 inbred lines using 3,305 single nucleotide polymorphism (SNP) markers and to also assess the level of homozygosity achieved in each of the inbred lines. A total of 1,184 SNP markers were found highly informative, with a mean polymorphic information content (PIC) of 0.23. Gene diversity was high among the inbred lines, ranging from 0.04 to 0.50, with an average of 0.27. The residual heterozygosity of the 242 S3 inbred lines averaged 8.8%, indicating moderately low heterozygosity levels among the inbred lines. Eighty-four percent of the 58,322 pairwise kinship coefficients among the inbred lines were near zero (0.00–0.05), with only 0.3% of them above 0.50. These results revealed that many of the inbred lines were distantly related, but none were redundant, suggesting each inbred line had a unique genetic makeup with great potential to provide novel alleles for maize improvement. The admixture-based structure analysis, principal coordinate analysis, and neighbour-joining clustering were concordant in dividing the 242 inbred lines into three subgroups based on the pedigree and selection history of the inbred lines. These findings could guide the effective use of the newly developed inbred lines and their evaluation in quantitative genetics and molecular studies to identify candidate lines for breeding locally adapted fall armyworm tolerant varieties in Ghana and other countries in West and Central Africa. [ABSTRACT FROM AUTHOR]