A sequencing-based typing method for HLA-DQA1 alleles

Diabetes and Genetics: A Relationship Between Genetic Risk Alleles, Clinical Phenotypes and Therapeutic Approaches

Unveiling human genome through successful completion of Human Genome Project and International HapMap Projects with the advent of state of art technologies has shed light on diseases associated genetic determinants. Identification of mutational landscapes such as copy number variation, single nucleotide polymorphisms or variants in different genes and loci have revealed not only genetic risk factors responsible for diseases but also region(s) playing protective roles. Diabetes is a global health concern with two major types - type 1 diabetes (T1D) and type 2 diabetes (T2D). Great progress in understanding the underlying genetic predisposition to T1D and T2D have been made by candidate gene studies, genetic linkage studies, genome wide association studies with substantial number of samples. Genetic information has importance in predicting clinical outcomes. In this review, we focus on recent advancement regarding candidate gene(s) associated with these two traits along with their clinical parameters as well as therapeutic approaches perceived. Understanding genetic architecture of these disease traits relating clinical phenotypes would certainly facilitate population stratification in diagnosing and treating T1D/T2D considering the doses and toxicity of specific drugs.

Celiac disease in children from Madeira island and its prevalence in first degree relatives

CONTEXT

It is well recognized that celiac disease is an immune-mediated systemic disorder highly prevalent among relatives of celiac patients.

OBJECTIVES

The aim of this study is to determine the prevalence of celiac disease in a group of first degree relatives of celiac children, and to access the frequency of human leukocyte antigen HLA-DQ2 and DQ8 in celiac disease patients and their affected relatives.

METHODS

A survey was conducted of 39 children with celiac disease with follow-up in the Pediatric outpatient's clinic of Dr. Nélio Mendonça Hospital, in Madeira Island, Portugal. Were invited 110 first degree relatives to undergo serological screen for celiac disease with IgA antibody to human recombinant tissue transglutaminase (IgA-TGG) quantification. In all seropositive relatives, small intestinal biopsy and HLA typing was recommended.

RESULTS

HLA- typing was performed in 38 celiac patients, 28/74% DQ2 positive, 1/2% DQ8 positive and 9/24% incomplete DQ2. Positive IgA-TGG was found in five out of the 95 relatives, and CD was diagnosed in three of them. Three relatives had the presence of HLA-DQ2, two were DQ2 incomplete (DQB1*02).

CONCLUSIONS

The prevalence of celiac disease among first degree celiac patients´ relatives was 3.1%, 4.5 times higher than the general Portuguese population (0,7%) witch reinforces the need of extensive diagnostic screening in this specific group. HLA-DQ2 typing may be a tool in the diagnostic approach.

A group-specific sequence-based typing approach for HLA-DQA1

An HLA-DQA1 sequence-based typing method reliant upon group-specific amplification to achieve an unambiguous second-field DQA1 typing assignment is presented. Method validation, using 51 reference DNA samples covering 21 different DQA1 alleles, showed 100% concordance with the reference types. This typing strategy has several important uses including identifying DQA1 mismatches in kidney donor/recipient pairs to inform patient DQ antibody assignments.

Polymorphisms of HLA-DRB1, -DQA1 and -DQB1 in inhabitants of Astana, the capital city of Kazakhstan

BACKGROUND

Kazakhstan has been inhabited by different populations, such as the Kazakh, Kyrgyz, Uzbek and others. Here we investigate allelic and haplotypic polymorphisms of human leukocyte antigen (HLA) genes at DRB1, DQA1 and DQB1 loci in the Kazakh ethnic group, and their genetic relationship between world populations.

METHODOLOGY/PRINCIPAL FINDINGS

A total of 157 unrelated Kazakh ethnic individuals from Astana were genotyped using sequence based typing (SBT-Method) for HLA-DRB1, -DQA1 and -DQB1 loci. Allele frequencies, neighbor-joining method, and multidimensional scaling analysis have been obtained for comparison with other world populations. Statistical analyses were performed using Arlequin v3.11. Applying the software PAST v. 2.17 the resulting genetic distance matrix was used for a multidimensional scaling analysis (MDS). Respectively 37, 17 and 19 alleles were observed at HLA-DRB1, -DQA1 and -DQB1 loci. The most frequent alleles were HLA-DRB1*07:01 (13.1%), HLA-DQA1*03:01 (13.1%) and HLA-DQB1*03:01 (17.6%). In the observed group of Kazakhs DRB1*07:01-DQA1*02:01-DQB1*02:01 (8.0%) was the most common three loci haplotype. DRB1*10:01-DQB1*05:01 showed the strongest linkage disequilibrium. The Kazakh population shows genetic kinship with the Kazakhs from China, Uyghurs, Mongolians, Todzhinians, Tuvinians and as well as with other Siberians and Asians.

CONCLUSIONS/SIGNIFICANCE

The HLA-DRB1, -DQA1 and -DQB1 loci are highly polymorphic in the Kazakh population, and this population has the closest relationship with other Asian and Siberian populations.

HLA-class II alleles in patients with drug-resistant pulmonary tuberculosis in Kazakhstan

The human leukocyte antigen (HLA) system has a major role in the regulation of the immune response as it is involved in the defense against pathogens. Some studies have reported that HLA class II genes play a strong role in severe cases of pulmonary tuberculosis (PTB) in several populations. Thus the aim of the study was to compare the HLA-class II alleles of patients with drug resistant tuberculosis with those of healthy controls from the same ethnic group in Kazakhstan. The aim of the present study was to evaluate the correlation of HLA-class II alleles by patients with drug resistant tuberculosis and the healthy controls of the same ethnic group in Kazakhstan. The HLA-class II alleles of 76 patients with tuberculosis (TB) and 157 healthy volunteers were investigated using sequence-based typing (SBT)-method. HLA-DQA1*03:02 HLA-DRB1*08:01 and DRB1*08:03 occurred more frequently (P = 0.05) in patients with drug resistant tuberculosis than in controls. We observed a possible association between certain HLA alleles and TB that are specific for the Kazakh population. Further studies are needed to confirm our findings using a larger number of patients with drug resistant tuberculosis.

HLA class II SNP interactions and the association with type 1 diabetes mellitus in Bengali speaking patients of Eastern India

BACKGROUND

Several studies have demonstrated a fundamental role for the HLA in the susceptibility of, or protection to, type 1 diabetes mellitus (T1DM). However, this has not been adequately studied in Asian Indian populations. To assess the frequency of HLA class II (DPA1, DPB1, DQA1, DQB1 and DRB1) associated to susceptibility or protection toT1DM in a Bengali population of India with diabetes.

RESULTS

Single nucleotide polymorphism study. The HLA genotyping was performed by a polymerase chain reaction followed by their HLA-DP, DQ, and DRB1 genotypes and haplotypes by sequencing method. The results are studied by Plink software. The χ2 tests were used for the inferential statistics. To our knowledge, this study is the first of a kind which has attempted to check the HLA association with T1DM by SNPs analysis. The study recruited 151 patients with T1DM and same number of ethno-linguistic, sex matched non-diabetic controls. The present study found a significant SNP rs7990 of HLA-DQA1 (p = 0.009) negative correlation, again indicating that risk from HLA is considerably more with T1DM.

CONCLUSIONS

This study demonstrates that the HLA class-II alleles play a major role in genetic basis of T1DM.

Approaches in type 1 diabetes research: A status report

Type 1 diabetes is a multifactorial disease with an early age of onset, in which the insulin producing beta cell of the pancreas are destroyed because of autoimmunity. It is the second most common chronic disease in children and account for 5% to 10% of all diagnosed cases of diabetes. India is having an incidence of 10.6 cases/year/100,000, and recent studies indicate that the prevalence of type 1 diabetes in India is increasing. However in view of poor health care network, there is no monitoring system in the country. Of the 18 genomic intervals implicated for the risk to develop type 1 diabetes, the major histocompatibility complex (MHC) region on chromosome 6p21.31 has been the major contributor estimated to account for 40-50%, followed by 10% frequency of INS-VNTR at 5' flanking region of the insulin gene on chromosome 11p15.5. However, population studies suggest that > 95% of type 1 diabetes have HLA-DR3 or DR4, or both, and in family studies, sibling pairs affected with type 1 diabetes have a non-random distribution of shared HLA haplotypes. As predisposing genetic factors such as HLA alleles are known, immunological interventions to prevent type 1 diabetes are of great interest. In the present study we have reviewed the status of molecular genetics of the disease and the approaches that need to be adopted in terms of developing patient and suitable control cohorts in the country.

Chain-terminating natural mutations affect the function of activating KIR receptors 3DS1 and 2DS3

To determine the nucleotide polymorphism of activating killer-cell immunoglobulin-like receptors (aKIR) 3DS1 and 2DS3, we developed a novel direct-sequencing method and analyzed DNA samples of 175 KIR3DS1(+) individuals and 72 KIR2DS3(+) individuals from the white population. The putative ligand-binding extracellular immunoglobulin (Ig)-like domains of these aKIR receptors are highly conserved, a scenario contrary to inhibitory KIRs that recognize polymorphic human leukocyte antigen (HLA) class I molecules. Null alleles 3DS1*049N and 2DS3*003N that do not express cell-surface receptors were discovered, and they occur commonly in whites (3DS1*049N = 2%; 2DS3*003N = 0.8%). Sequence-specific polymerase chain reaction (PCR) detecting these null alleles is negative with DNA from nonwhite subjects, suggesting that these null alleles are specific to whites and probably originated after the colonization of modern humans in Europe.

Sequence-based typing of HLA-DQA1: comprehensive approach showed molecular heterogeneity

Within the human leukocyte antigen-DQA1 workshop project the level of molecular heterogeneity of the DQA1 gene was investigated. An improved sequence-based typing protocol was used, enabling analysis of the complete coding sequence, comprising exons 1-4. The participating laboratories implemented the amplification and sequencing primers in their own sequence-based typing approach. The method proved to be sufficiently robust to handle the differences in protocols. All reference samples used for validation were correctly typed for DQA1 by all participating laboratories. Three different populations with a total of 736 individuals were investigated: a population of Korean origin (n= 467), a British Caucasian (n= 114), and a Dutch Caucasian (n= 155) population. Sixteen of the known 28 DQA1 alleles were detected and six new alleles were identified. All novel alleles showed a nucleotide substitution outside exon 2. Comparison of the calculated allele frequencies revealed major differences between the Korean and the Caucasian populations but also between Dutch and British Caucasians. A tight association between DQA1 and DRB1/DQB1 alleles was observed in all three populations.

Sequence-based typing of the complete coding sequence of DQA1 and phenotype frequencies in the Dutch Caucasian population

Typing of DQA1 by sequencing has been a challenge because of a 3-nucleotide deletion in exon 2 in half of the alleles. Furthermore, 19 of the 28 alleles cannot be identified on basis of exon 2 alone, but need additional exon information. With the sequencing strategy presented here the complete exons 1-4 are sequenced heterozygously, enabling identification of all DQA1 alleles by sequence-based typing (SBT). Exons 1-4 were amplified and sequenced separately, the combined sequences were used for automated allele assignment. The method was validated by typing 21 individuals with all possible different allele group combinations. In addition 26 quality control samples were correctly typed by this method. To determine the phenotype frequencies 155 unrelated Dutch Caucasian individuals were DQA1 typed. In total 15 known and two new DQA1 alleles were identified. DQA1*0103 and *0505 were the most frequent alleles with phenotype frequencies of 30% and 29%, respectively. The SBT method presented here is an improvement compared to already existing protocols in that the complete exon sequence is obtained for all coding exons, using identical polymerase chain reaction conditions. Furthermore, all exons are sequenced heterozygously, facilitating allele assignment and reducing the number of amplification reactions.

Identity tests: determination of cell line cross-contamination

Cell line cross-contamination is a phenomenon that arises as a result of the continuous cell line culture. It has been estimated that around 20% of the cell lines are misidentified, therefore it is necessary to carry out quality control tests for the detection of this issue. Since cell line cross-contamination discovery, different methods have been applied, such as isoenzyme analysis for inter-species cross-contamination; HLA typing, and DNA fingerprinting using short tandem repeat and a variable number of tandem repeat for intra-species cross-contamination. The cell banks in this sense represent the organizations responsible for guaranteeing the authenticity of cell lines for future research and clinical uses.

HLA-DQA1 Introns 2 and 3 Sequencing: DQA1 Sequencing-Based Typing and Characterization of a Highly Polymorphic Microsatellite at Intron 3 of DQA1*0505

DQA1 class II gene encodes the alpha-chain of the human leukocyte antigen (HLA)-DQ heterodimer. Sequencing-based typing (SBT) for HLA genes is the most powerful methodology described. However, most of the SBT procedures reported for HLA class II genes are not able to define complete exon 2 region. For that purpose, we have characterized introns 2 and 3 from most DQA1 alleles to design amplification procedures that were able to obtain complete exon 2 and 3 sequences from DQA1 genes. This coding information allowed us to reduce the number of ambiguities for DQA1 typing. DQA1 intron 2 and 3 characterization demonstrated the presence of two polymorphisms for alleles with the same exons 2 and 3 sequence from DQA1*05 group. Different samples including the DQA1*050101 alleles showed a single nucleotide polymorphism at position 53 of intron 2 (G53T). Additional haplotypic analysis showed the possible association of T53 allele with the Ax-Cw5-B18-DR17-DQ2 extended haplotype. On the other hand, DQA1*0505 sequencing from different control samples noticed the existence of a microsatellite (TTTC/AAAG)n located at position 126 of intron 3. Fragment length analysis demonstrated a high polymorphism for this short tandem repeat system (0505STR), defining alleles that ranged from 8 to 20 repetitions in our population.

High-resolution genotyping of HLA-DQA1 in the GoKinD study and identification of novel alleles HLA-DQA1*040102, HLA-DQA1*0402 and HLA-DQA1*0404

In order to achieve high-resolution HLA-DQA1 genotyping, it is necessary to identify polymorphisms in exons 1, 2 and 3. We present a high-resolution sequence-based typing (SBT) strategy for genotyping exons 1, 2 and 3 of the polymorphic HLA-DQA1 locus. This method is an improvement upon previously presented methods, because it utilizes the minimum number of SSP-PCR assays to obtain clear DNA sequence in both the forward and reverse directions of all three exons. All known HLA-DQA1 alleles are resolved with the exception of HLA-DQA1*010101 and HLA-DQA1*010102 for which the distinguishing polymorphism is located in exon 4 and does not result in an amino acid change. This method has enabled our laboratory to identify three new HLA-DQA1 alleles - HLA-DQA1*040102, HLA- DQA1*0402 and HLA-DQA1*0404 - in the Genetics of Kidneys in Diabetes (GoKinD) study population. Additionally, we present single-allele amplification methods, which identify the coding sequences of HLA-DQA1 exons 1, 2, 3, intron 2 and 300 bp of the HLA-DQA1 promoter (QAP). This study, also describes the QAP for most of the known HLA-DQA1 alleles, three HLA-DQA2 promoter sequences and the intron 2 sequences for HLA-DQA1*040101, HLA-DQA1*040102, HLA-DQA1*0402 and HLA-DQA1*0404.