scholarly journals Molecular red cell genotyping of rare blood donors in South Africa to enhance rare donor-patient blood matching

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Lavendri Govender ◽  
Rosaley D. Prakashchandra ◽  
Pavitra Pillay ◽  
Ute Jentsch
Keyword(s):  
South African ◽  
Reference Laboratory ◽  
Red Cell ◽  
Nucleotide Polymorphisms ◽  
Haemolytic Disease ◽  
Single Nucleotide ◽  
Blood Types ◽  
Targeted Screening ◽  
And Gender ◽  
Transfusion Reactions

Background: Molecular red cell genotyping is devoid of serology limitations such as the scarcity of rare antisera and the possibility of inconclusive results due to biological interferences. Blood incompatibility can result in immune transfusion reactions such as haemolytic transfusion reactions or haemolytic disease of the foetus and newborn.Objective: The study aimed to use molecular red cell genotyping to identify rare blood group donors among South African blood donors.Methods: Red cell genotyping data were extracted retrospectively from the BIDS XT genotyping software in the Immunohaematology Reference Laboratory from January 2015 to August 2016. The ID CORE XT genotyping assay was used to identify the single nucleotide polymorphisms of 10 blood groups system alleles in 150 donors. Associations between the resultant genotypes and predicted phenotypes, ABO group, RhD type, race group and gender were studied.Results: Significant red cell genetic variability was noted among the numerous South African donor genotypes identified in this study. Genotyping further confirmed the presence of at least one of the 16 rare genotypes in 50 donors. Group O Black donors were associated with two rare blood types, while several other rare blood types were found only in White donors, supporting an association between ABO/Rh subtype, race group and rare blood types.Conclusion: Targeted screening of donors for antigen-negative rare blood units for patients should be done to reduce the risk of haemolytic transfusion reactions and haemolytic disease of the foetus and newborn.

Assessing single nucleotide polymorphism selection methods for the development of a low-density panel optimized for imputation in South African Drakensberger beef cattle

2021 ◽  
Author(s):  
Simon F Lashmar ◽  
Donagh P Berry ◽  
Rian Pierneef ◽  
Farai C Muchadeyi ◽  
Carina Visser
Keyword(s):  
South African ◽  
Clustering Algorithm ◽  
Imputation Accuracy ◽  
Developed Countries ◽  
Genotype Imputation ◽  
Selection Strategy ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Single Nucleotide Polymorphism Selection ◽  
The Mean

Abstract A major obstacle in applying genomic selection (GS) to uniquely adapted local breeds in less-developed countries has been the cost of genotyping at high densities of single nucleotide polymorphisms (SNP). Cost reduction can be achieved by imputing genotypes from lower to higher densities. Locally adapted breeds tend to be admixed and exhibit a high degree of genomic heterogeneity thus necessitating the optimization of SNP selection for downstream imputation. The aim of this study was to quantify the achievable imputation accuracy for a sample of 1,135 South African (SA) Drakensberger using several custom-derived lower-density panels varying in both SNP density and how the SNP were selected. From a pool of 120,608 genotyped SNP, subsets of SNP were chosen 1) at random, 2) with even genomic dispersion, 3) by maximizing the mean minor allele frequency (MAF), 4) using a combined score of MAF and linkage disequilibrium (LD), 5) using a partitioning-around-medoids (PAM) algorithm, and finally 6) using a hierarchical LD-based clustering algorithm. Imputation accuracy to higher density improved as SNP density increased; animal-wise imputation accuracy defined as the within-animal correlation between the imputed and actual alleles ranged from 0.625 to 0.990 when 2,500 randomly selected SNP were chosen versus a range of 0.918 to 0.999 when 50,000 randomly selected SNP were used. At a panel density of 10,000 SNP, the mean (standard deviation) animal-wise allele concordance rate was 0.976 (0.018) versus 0.982 (0.014) when the worst (i.e., random) as opposed to the best (i.e., combination of MAF and LD) SNP selection strategy was employed. A difference of 0.071 units was observed between the mean correlation-based accuracy of imputed SNP categorized as low (0.01<MAF≤0.1) versus high MAF (0.4<MAF≤0.5). Greater mean imputation accuracy was achieved for SNP located on autosomal extremes when these regions were populated with more SNP. The presented results suggested that genotype imputation can be a practical cost-saving strategy for indigenous breeds such as the South African Drakensberger. Based on the results, a genotyping panel consisting of approximately 10,000 SNP selected based on a combination of MAF and LD would suffice in achieving a less than 3% imputation error rate for a breed characterized by genomic admixture on the condition that these SNP are selected based on breed-specific selection criteria.

Lack of association between delayed tooth emergence and single nucleotide polymorphisms in estrogen receptors

2021 ◽  
Vol 32 (6) ◽  
pp. 107-114
Author(s):  
Isabela Ribeiro Madalena ◽  
Caio Luiz Bitencourt Reis ◽  
Daniela Silva Barroso de Oliveira ◽  
Giovana Daniela Pecharki ◽  
Paula Cristina Trevilatto ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Oral Cavity ◽  
Estrogen Receptors ◽  
Permanent Tooth ◽  
Genotype Distribution ◽  
Nucleotide Polymorphisms ◽  
Age And Gender ◽  
Single Nucleotide ◽  
And Gender ◽  
Tooth Emergence

Abstract The purpose of the study was to investigate the association between single nucleotide polymorphisms (SNPs) in genes encoding estrogen receptors (ESR1 and ESR2, respectively) and delayed tooth emergence (DTE). This cross-sectional study was composed of biological unrelated children of both sexes, age ranging from 11 to 13 years old. DTE was defined when the successor primary tooth was still present in the oral cavity after its exfoliation time or the absence of the permanent tooth emergence into the oral cavity. Children were diagnosed with DTE when they had at least one delayed permanent tooth, according to age of exfoliation of each tooth proposed by The American Dental Association. Genomic DNA from saliva was used to evaluate the SNPs in ESR1 (rs9340799 and rs2234693) and ESR2 (rs1256049 and rs4986938) using Real-Time PCR. Chi-square or Fisher exact tests and Logistic Regression adjusted by age and gender were performed. SNP-SNP interaction was accessed by multifactor dimensionality reduction (MDR) analysis also adjusted by gender and age. The established alpha of this study was 5%. Among 537 included children, 296 (55%) were in the “DTE” group and the 241 (45%) were in the “Control” group. Age and gender were not statistically different among the groups (p>0.05). Genotype distribution of the SNPs rs9340799, rs2234693, rs1256049 and rs4986938 were not associated with DTE (p> 0.05). The models elected by MDR were not statistically significant either. Conclusions: The studied SNPs in ESR1 and ESR2 were not associated with permanent DTE.

scholarly journals Genome Analysis of A Novel South African Cydia pomonella granulovirus (CpGV-SA) with Resistance-Breaking Potential

Viruses ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 658 ◽  
Author(s):  
Boitumelo Motsoeneng ◽  
Michael D. Jukes ◽  
Caroline M. Knox ◽  
Martin P. Hill ◽  
Sean D. Moore
Keyword(s):  
South African ◽  
Complete Genome ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Type I ◽  
Nucleotide Polymorphisms ◽  
Pome Fruit ◽  
Single Nucleotide ◽  
Resistance Breaking ◽  
Cydia Pomonella Granulovirus

The complete genome of an endemic South African Cydia pomonella granulovirus isolate was sequenced and analyzed. Several missing or truncated open reading frames (ORFs) were identified, including a 24 bp deletion in the pe38 gene which is reported to be associated with type I resistance-breaking potential. Comparison of single nucleotide polymorphisms (SNPs) with five other fully sequenced CpGV isolates identified 67 unique events, 47 of which occurred within ORFs, leading to several amino acid changes. Further analysis of single nucleotide variations (SNVs) within CpGV-SA revealed that this isolate consists of mixed genotypes. Phylogenetic analysis using complete genome sequences placed CpGV-SA basal to M, I12 and E2 and distal to S and I07 but with no distinct classification into any of the previously defined CpGV genogroups. These results suggest that CpGV-SA is a novel and genetically distinct isolate with significant potential as a biopesticide for management of codling moth (CM), not only in South Africa, but potentially in other pome fruit producing countries, particularly where CM resistance to CpGV has been reported.

scholarly journals Susceptibility to Heart Defects in Down Syndrome Is Associated with Single Nucleotide Polymorphisms in HAS 21 Interferon Receptor Cluster and VEGFA Genes

Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1428
Author(s):  
Carmela Rita Balistreri ◽  
Claudia Leonarda Ammoscato ◽  
Letizia Scola ◽  
Tiziana Fragapane ◽  
Rosa Maria Giarratana ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Single Nucleotide Polymorphisms ◽  
Heart Defects ◽  
Chromosome 21 ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cardiac Defects ◽  
Risk Alleles ◽  
And Gender ◽  
Heart Disorders

Background: Congenital heart defects (CHDs) are present in about 40–60% of newborns with Down syndrome (DS). Patients with DS can also develop acquired cardiac disorders. Mouse models suggest that a critical 3.7 Mb region located on human chromosome 21 (HSA21) could explain the association with CHDs. This region includes a cluster of genes (IFNAR1, IFNAR2, IFNGR2, IL10RB) encoding for interferon receptors (IFN-Rs). Other genes located on different chromosomes, such as the vascular endothelial growth factor A (VEGFA), have been shown to be involved in cardiac defects. So, we investigated the association between single nucleotide polymorphisms (SNPs) in IFNAR2, IFNGR2, IL10RB and VEGFA genes, and the presence of CHDs or acquired cardiac defects in patients with DS. Methods: Individuals (n = 102) with DS, and age- and gender-matched controls (n = 96), were genotyped for four SNPs (rs2229207, rs2834213, rs2834167 and rs3025039) using KASPar assays. Results: We found that the IFNGR2 rs2834213 G homozygous genotype and IL10RB rs2834167G-positive genotypes were more common in patients with DSand significantly associated with heart disorders, while VEGFA rs3025039T-positive genotypes (T/*) were less prevalent in patients with CHDs. Conclusions: We identified some candidate risk SNPs for CHDs and acquired heart defects in DS. Our data suggest that a complex architecture of risk alleles with interplay effects may contribute to the high variability of DS phenotypes.

scholarly journals Effects of Ninjurin 2 Polymorphisms on Susceptibility of Coronary Heart Disease 

2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Case Control Study ◽  
Case Control ◽  
Nucleotide Polymorphisms ◽  
Age And Gender ◽  
Single Nucleotide ◽  
Chd Risk ◽  
And Gender ◽  
Control Study

Abstract Objective: The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD).Methods: We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender..Results: NINJ2 rs118050317 significantly increased the risk of CHD in people over 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 were closely related to the risk of hypertension in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among CHD cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele (P = 0.035), homozygote (P = 0.047) and additive (P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2.Conclusion: Our results suggested that the relationships of NINJ2 polymorphisms and CHD risk were dependent on age, sex or complications.

scholarly journals Effects of Ninjurin 2 Polymorphisms on Susceptibility of Coronary Heart Disease

2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi Liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Case Control Study ◽  
Strong Relationship ◽  
Nucleotide Polymorphisms ◽  
Age And Gender ◽  
Single Nucleotide ◽  
Chd Risk ◽  
And Gender ◽  
Control Study

Abstract Objective The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD). Methods We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender.. Results NINJ2 rs118050317 significantly increased CHD risk among people older than 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 had strong relationship with hypertension risk in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele ( P = 0.035), homozygote ( P = 0.047) and additive ( P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2 . Conclusion Our results suggest that NINJ2 polymorphisms are associated with CHD risk.

scholarly journals Associations between Aquaglyceroporin Gene Polymorphisms and Risk of Type 2 Diabetes Mellitus

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yijun Wang ◽  
Gang Chen ◽  
Qingyun Tu ◽  
Junxia Wu ◽  
Yu Qin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Diseases ◽  
Proteinase K ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide ◽  
Increased Risk ◽  
Polymerase Chain ◽  
And Gender

Objectives. AQP7 and AQP9 represent glycerol channel in adipose tissue and liver and have been associated with metabolic diseases. We aimed to investigate the associations between genetic variants in AQP7 and AQP9 genes and the risk of type 2 diabetes (T2DM) in Chinese population. Methods. Blood samples were drawn from 400 T2DM patients and 400 age- and gender-matched controls. Genomic DNA was extracted by proteinase K digestion and phenol–chloroform extraction. Genotyping of 5 single nucleotide polymorphisms (SNPs) in AQP7 (rs2989924, rs3758269, and rs62542743) and AQP9 (rs57139208, rs16939881) was performed by the polymerase chain reaction assay with TaqMan probes. Results. The subjects with rs2989924 GA+AA genotypes had 1.47-fold increased risk of T2DM (odds ratio [OR] 1.47, 95% confidence interval [CI] 1.06-2.04), compared to those with GG genotype, and this association remained significant after adjustment for covariates (OR 1.66, 95% CI 1.07-2.57). When compared with rs3758269 CC genotype, the subjects with CT+TT genotypes had 45% decreased T2DM risk after multivariate adjustment (OR 0.55, 95% CI 0.35-0.85). The associations were evident in elder and overweight subjects and those with central obesity. No association was observed between AQP9 SNPs and T2DM risk. Conclusions. AQP7 SNP rs2989924 and rs3758269 were associated with T2DM risk in Chinese Han population.

scholarly journals Analysis of Adiponectin Gene Polymorphisms in Chinese Population with Systemic Lupus Erythematosus

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Wen Liang Fang ◽  
Bin Zhou ◽  
Yan Yun Wang ◽  
Yu Chen ◽  
Lin Zhang
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Allele Frequencies ◽  
Systemic Autoimmune Disease ◽  
Nucleotide Polymorphisms ◽  
Systemic Lupus ◽  
Single Nucleotide ◽  
Adipoq Gene ◽  
Significant Difference ◽  
And Gender

Systemic lupus erythematosus (SLE) is a prototypic systemic autoimmune disease. Adiponectin is an adipocyte-derived cytokine with anti-inflammatory, antidiabetic, and antiatherogenic properties. No study has reported on the association between adiponectin (ADIPOQ) gene and SLE. Our aim is to investigate the association between single-nucleotide polymorphisms in ADIPOQ gene and SLE. We examined 179 SLE patients and 237 age- and gender-matched controls from Sichuan province in China. Genotypes were determined using polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing. Results show that there was no significant difference in the allele frequencies of rs1501299 (P=.311,OR=1.17, 95% CI: 0.86–1.59) and rs2241766 (P=.929,OR=0.99, 95% CI: 0.74–1.33) in ADIPOQ gene between SLE patients and controls. The same results were seen in their genotypes (P<.05). The allele frequencies of rs1501299 and rs2241766 polymorphisms of ADIPOQ may not be associated with SLE risk.

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