scholarly journals HLA-A, -B, -C, -DRB1, and -DQB1 Allele Lineages and Haplotype Frequencies among Saudis

2014 ◽  
Vol 6 ◽  
pp. III.S16769
Author(s):  
Awad E. Osman ◽  
Faviel F. Gonzalez-Galarza ◽  
Mohamed Mubasher ◽  
Hanan Al-Harthi ◽  
Nezar Eltayeb Elsheikh ◽  
...  

There are few reported studies on Saudi population for human leukocyte antigens (HLA) genes. We investigated allele lineages (two-digit) and haplotype frequencies of HLA-A, -B, -C, -DRB1, and -DQB1 loci in 499 healthy unrelated individuals, selected from potential bone marrow transplant (BMT) families’ donors at King Fahad Medical City (KFMC), Saudi Arabia (SA). Genotyping was performed by Sequence Specific Oligonucleotide Probe (SSOP) utilizing a Luminex-based method. Allele lineages and haplotype frequencies were evaluated along with principal component analysis (PCA) to compare findings with previously reported data on Arab related populations. A total of 18 allele lineages for HLA-A, 28 for -B, 14 for -C, 13 for -DRB1, and 5 for -DQB1 were detected. High values for linkage disequilibrium indicators were found for B:C ( D’ = 0.86599) and DRB1:DQB1 ( D’ = 0.89468) loci. Additionally, PCA results confirmed previous findings on this population, but also indicated some genetic distances from other Arab related populations. The present study helps in further investigations of this population in anthropological analysis and HLA-associated disease studies.

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Apichaya Puangpetch ◽  
Pongwut Suwannarat ◽  
Montri Chamnanphol ◽  
Napatrupron Koomdee ◽  
Nattawat Ngamsamut ◽  
...  

Autism is a severe neurodevelopmental disorder. Many susceptible causative genes have been identified. Most of the previous reports showed the relationship between the Human Leukocyte Antigen (HLA) gene and etiology of autism. In order to identifyHLA-Balleles associated with autism in Thai population, we compared the frequency ofHLA-Ballele in 364 autistic subjects with 952 normal subjects by using a two-stage sequence-specific oligonucleotide probe system (PCR-SSOP) method based on flow-cytometry technology.HLA-B⁎13:02(P=0.019, OR = 2.229),HLA-B⁎38:02(P=0.049, OR = 1.628),HLA-B⁎44:03(P=0.016, OR = 1.645), andHLA-B⁎56:01(P= 1.78 × 10−4, OR = 4.927) alleles were significantly increased in autistic subjects compared with normal subjects. Moreover, we found that theHLA-B⁎18:02(P=0.016, OR = 0.375) andHLA-B⁎46:12(P=0.008, OR = 0.147) alleles were negatively associated with autism when compared to normal controls. Both alleles might have a protective role in disease development. In addition, fourHLA-Bgenotypes of autistic patients had statistically significant relationship with control groups, consisting ofHLA-B⁎3905/⁎5801(P=0.032, OR = 24.697),HLA-B⁎2704/⁎5801(P=0.022, OR = 6.872),HLA-B⁎3501/⁎4403(P=0.021, OR = 30.269), andHLA-B⁎1801/⁎4402(P = 0.017, OR = 13.757). This is the first report onHLA-Bassociated with Thai autism and may serve as a marker for genetic susceptibility to autism in Thai population.


2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Mqondisi Tshabalala ◽  
Charlotte Ingram ◽  
Terry Schlaphoff ◽  
Veronica Borrill ◽  
Alan Christoffels ◽  
...  

Human leukocyte antigen- (HLA-) A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 allele and haplotype frequencies were studied in a subset of 237 volunteer bone marrow donors registered at the South African Bone Marrow Registry (SABMR). Hapl-o-Mat software was used to compute allele and haplotype frequencies from individuals typed at various resolutions, with some alleles in multiple allele code (MAC) format. Four hundred and thirty-eight HLA-A, 235 HLA-B, 234 HLA-DRB1, 41 HLA-DQB1, and 29 HLA-C alleles are reported. The most frequent alleles were A∗02:02g (0.096), B∗07:02g (0.082), C∗07:02g (0.180), DQB1∗06:02 (0.157), and DRB1∗15:01 (0.072). The most common haplotype was A∗03:01g~B∗07:02g~C∗07:02g~DQB1∗06:02~DRB1∗15:01 (0.067), which has also been reported in other populations. Deviations from Hardy-Weinberg equilibrium were observed in A, B, and DRB1 loci, with C~DQB1 being the only locus pair in linkage disequilibrium. This study describes allele and haplotype frequencies from a subset of donors registered at SABMR, the only active bone marrow donor registry in Africa. Although the sample size was small, our results form a key resource for future population studies, disease association studies, and donor recruitment strategies.


Author(s):  
Chonlaphat Sukasem ◽  
Suthida Sririttha ◽  
Chonlawat Chaichan ◽  
Thapanat Nakkrut ◽  
Patompong Satapornpong ◽  
...  

AbstractAromatic antiepileptic drugs (AEDs)-induced cutaneous adverse drug reactions (cADRs) add up to the limited use of the AEDs in the treatment and prevention of seizures. Human leukocyte antigen-B (HLA-B) alleles have been linked to AEDs-induced cADRs. We investigated the association between cADRs (including Stevens–Johnson syndrome; SJS/toxic epidermal necrolysis; TEN, drug reaction with eosinophilia and systemic symptoms; DRESS, and Maculopapular eruption; MPE) caused by AEDs (phenytoin, carbamazepine, lamotrigine, phenobarbital and oxcarbazepine) and HLA-B alleles in Thai population. Through the case-control study, 166 patients with AEDs-induced cADRs, 426 AEDs-tolerant patients (AEDs-tolerant controls), and 470 healthy subjects (Thai population) were collected. The HLA genotypes were detected using the polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSOP) method. We also performed a meta-analysis with these data and other populations. The carrier rate of HLA-B*15:02 was significantly different between AEDs-induced cADRs group and AEDs-tolerant group (Odds ratio; OR 4.28, 95% Confidence interval; CI 2.64–6.95, p < 0.001), AEDs-induced cADRs group and Thai population (OR 2.15, 95%CI 1.41–3.29, p < 0.001). In meta-analysis showed the strong association HLA-B*15:02 with AEDs-induced cADRs (OR 4.77, 95%CI 1.79–12.73, p < 0.001). Furthermore, HLA-B*15:02 was associated with SJS/TEN induced by AEDs (OR 10.28, 95%CI 6.50–16.28, p < 0.001) Phenytoin (OR 4.12, 95%CI 1.77–9.59, p = 0.001) and carbamazepine (OR 137.69, 95%CI 50.97–371.98, p < 0.001). This study demonstrated that genetic association for AEDs-induced cADRs was phenotype-specific. A strong association between HLA-B*15:02 and AEDs-induced SJS/TEN was demonstrated with an OR of 10.79 (95%CI 5.50–21.16, p < 0.001) when compared with AEDs-tolerant group. On the other hand, the carrier rates of HLA-B*08:01, HLA-B*13:01, and HLA-B*56:02 were significantly higher in the DRESS group compared with the AEDs-tolerant group (p = 0.029, 0.007, and 0.017, respectively). The HLA-B*15:02 allele may represent a risk factor for AEDs-induced cADRs.


Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 832
Author(s):  
Nina Moravčíková ◽  
Radovan Kasarda ◽  
Radoslav Židek ◽  
Luboš Vostrý ◽  
Hana Vostrá-Vydrová ◽  
...  

This study focused on the genomic differences between the Czechoslovakian wolfdog (CWD) and its ancestors, the Grey wolf (GW) and German Shepherd dog. The Saarloos wolfdog and Belgian Shepherd dog were also included to study the level of GW genetics retained in the genome of domesticated breeds. The dataset consisted of 131 animals and 143,593 single nucleotide polymorphisms (SNPs). The effects of demographic history on the overall genome structure were determined by screening the distribution of the homozygous segments. The genetic variance distributed within and between groups was quantified by genetic distances, the FST index, and discriminant analysis of principal components. Fine-scale population stratification due to specific morphological and behavioural traits was assessed by principal component and factorial analyses. In the CWD, a demographic history effect was manifested mainly in a high genome-wide proportion of short homozygous segments corresponding to a historical load of inbreeding derived from founders. The observed proportion of long homozygous segments indicated that the inbreeding events shaped the CWD genome relatively recently compared to other groups. Even if there was a significant increase in genetic similarity among wolf-like breeds, they were genetically separated from each other. Moreover, this study showed that the CWD genome carries private alleles that are not found in either wolves or other dog breeds analysed in this study.


Genome ◽  
1993 ◽  
Vol 36 (4) ◽  
pp. 686-693 ◽  
Author(s):  
Benoit Van Coppenolle ◽  
Iwao Watanabe ◽  
Charles Van Hove ◽  
Gerard Second ◽  
Ning Huang ◽  
...  

The polymerase chain reaction was used to amplify random sequences of DNA from 25 accessions of Azolla to evaluate the usefulness of this technique for identification and phylogenetic analysis of this aquatic fern. Accessions were selected to represent all known species within the genus Azolla and to encompass the worldwide distribution of the fern. Primers of 10 nucleotides with 70% G + C content were used to generate randomly amplified polymorphic DNA from the symbiotic Azolla–Anabaena complex. Twenty-two primers were used and each primer gave 4–10 bands of different molecular weights for each accession. Bands were scored as present or absent for each accession and variation among accessions was quantified using Nei's genetic distances. A dendrogram summarizing phenetic relationships among the 25 accessions was generated using the unweighted pair-group method with arithmetic mean. Principal component analysis was also used to evaluate genetic similarities. Three distinct groups were identified: group 1 contains five species, group 2 contains the pinnata species, and group 3 contains the nilotica species. The analysis demonstrates that the major groups of Azolla species can be easily distinguished from one an other and, in addition, that closely related accessions within species can be identified. We further found that using 10 primers, a phylogeny that is essentially the same as that derived from 22 primers can be constructed. Our results suggest that total DNA extracted from the Azolla–Anabaena symbionts is useful for classification and phylogenetic studies of Azolla.Key words: Azolla–Anabaena symbiosis, genetic distances, polymerase chain reaction, principal component analysis.


2014 ◽  
Vol 75 (3) ◽  
pp. 218-226 ◽  
Author(s):  
Zorana Andric ◽  
Dusan Popadic ◽  
Barbara Jovanovic ◽  
Ivana Jaglicic ◽  
Svetlana Bojic ◽  
...  

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