Literature DB >> 35178458

Human Neutrophil Antigen Genotype and Allele Frequencies in Iranian Blood Donors.

Behnaz Esmaeili1, Behnaz Bayat2, Atefe Alirezaee1, Mona Delkhah3, Mohammad Reza Mehdizadeh4, Zahra Pourpak1.   

Abstract

OBJECTIVE: Human neutrophil antigens (HNAs) can be targeted by HNA-allo antibodies and cause a variety of clinical conditions such as transfusion-related acute lung injury (TRALI) and neonatal alloimmune neutropenia (NAIN). The current study is aimed at identifying the genotype and allele frequencies of HNAs in Iranian blood donors.
METHODS: A total of 150 blood samples were obtained from healthy blood donors. HNA-1, HNA-3, HNA-4, and HNA-5 were genotyped, using the polymerase chain reaction sequence-specific primer (PCR-SSP) technique. The expression of the HNA-2 antigen on the neutrophil surface was evaluated by flow cytometry.
RESULTS: The allele frequencies of FCGR3B∗1 (encoding HNA-1a), FCGR3B∗2 (encoding HNA-1b), and FCGR3B∗3 (encoding HNA-1c) were 0.34, 0.63, and 0.03, respectively. For HNA-3, the allele frequencies for SLC44A2∗1 (encoding HNA-3a) and SLC44A2∗2 (encoding HNA-3b) were 0.63 and 0.37, respectively. The frequencies of ITGAM∗1 (encoding HNA-4a) and ITGAM∗2 (encoding HNA-4b) alleles were 0.85 and 0.15, respectively. Furthermore, the frequencies of ITGAL∗1 (encoding HNA-5a) and ITGAL∗2 (encoding HNA-5b) alleles were 0.72 and 0.28, respectively. In the studied population, HNA-2 antigen was present on the neutrophil surface in 97.3% of the individuals, while no detectable HNA-2 expression was observed in 2.7% of the individuals. However, no significant difference in HNA-2 expression between different age groups was found.
CONCLUSION: The present study provides the first report of the HNA allele and genotype frequencies among the Iranian population. All HNAs (HNA-1 to HNA-5) were typed using the PCR-SSP and flow cytometer. In the current cohort study, the determined HNA allele frequencies were similar to the previous reports from British, German, and Danish populations. Considering the presence of different Iranian ethnic groups, further studies with a larger sample size are needed to draw a total picture for HNA allele frequencies.
Copyright © 2022 Behnaz Esmaeili et al.

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Year:  2022        PMID: 35178458      PMCID: PMC8843967          DOI: 10.1155/2022/4387555

Source DB:  PubMed          Journal:  J Immunol Res        ISSN: 2314-7156            Impact factor:   4.818


1. Introduction

Human neutrophil antigens (HNAs) are glycoproteins expressed on the human neutrophils surface [1]. On human neutrophils, there are five antigenic systems (from HNA-1 to HNA-5) that consist of fourteen alleles located on the human neutrophil Fc gamma-receptor IIIb (FcYRIIIb) (CD16), CD177, choline transporter-like protein 2 (CTL2), Mac1 (CD11b/CD18), and LFA1 (CD11a/CD18), respectively [2]. Among HNAs, HNA-1 and HNA-2 have been identified only on the neutrophil surface [3]. However, HNA-3, HNA-4, and HNA-5 follow a broad expression pattern on other blood cells [2]. Based on CD177 expression, in HNA-2-positive individuals, one or two neutrophil subsets can be observed. Nonetheless, in some individuals (3-5% of normal population), no CD177 expression on the neutrophil surface is detectable [4]. In the case of atypical expression of HNA-2, one negative and two positive subpopulations of neutrophils are detected [5]. HNA incompatibility in the case of pregnancy or transfusion/transplantation leads to alloimmunization and the consequent production of alloantibodies. The binding of these alloantibodies on target HNAs may lead to a variety of clinical conditions such as transfusion-related acute lung injury (TRALI) and neonatal alloimmune neutropenia (NAIN) [6]. Autoantibodies directed against HNAs are known to involve in the mechanism of autoimmune neutropenia [6]. HNA allele frequencies have been extensively studied among different populations such as Japanese [7], Chinese [8], Hong Kong [9], Thai [10], Turkish, German [11], and Africa American [12], African Blacks [13], northern Germany and Uganda [14], and Danish and Zambian [15]. Previous studies from Iranian populations have investigated the frequencies of HNA-3 and HNA-5 alleles in Iranian blood donors [16, 17]. However, there was no previous report related to the frequencies of all HNAs for Iranian populations. Given that Iran contains multiple ethnic groups, evaluation of the HNA allele frequencies provides useful information to estimate the HNA alloimmunization rate and help to design prevention strategies for the consequences of HNA alloimmunization such as NAIN, TRALI, and graft rejection. The aim of this study was to evaluate HNA allele and genotype frequencies among the Iranian population.

2. Materials and Methods

2.1. Study Population

Peripheral blood samples (In EDTA-containing vacutainer tubes) from 150 healthy donors referred to the Vesal Blood Transfusion Center, Tehran, Iran (18 females and 132 males, aged 18-61 years), were collected. This study was approved by the Ethics Committee of Tehran University of Medical Sciences (IR.TUMS.IAARI.REC.1398.019). All subjects were interviewed and signed a consent form to participate in the study, and then, 5 mL whole blood was taken from each participant. Additionally, demographic data of subjects including sex, age, and ethnicity were collected. The data of questionnaires indicating the presence of six Iranian ethnic groups in the studied cohort has been summarized in Table 1.
Table 1

The characteristics of study participants. The participants were categorized based on age, gender, and ethnicity.

GenderAgesEthnicity
FrequencyPercentFrequencyPercent
Female17-35633.3Persians1372.2
36-50738.9Azerbaijanis316.7
>50527.8Gilaks and Mazandaranis211.1
Total18100Total18100

Male17-353425.8Persians8262.1
36-506549.2Azerbaijanis3425.8
>503325Kurds53.8
Total132100Gilaks and Mazandaranis43
Lurs64.5
Arabs10.8
Total132100

3. DNA Extraction and Genotyping for FCGR3B (FCGR3B∗01, FCGR3B∗02, FCGR3B∗03), SLC44A2, ITGAM, and ITGAL Alleles

DNA was extracted from whole blood, using a DNA extraction kit (Exgene Cell SV mini, Gene All, Cat. no.: 106-101, Seoul, South Korea) according to the manufacturer's instructions. Allele and genotype frequencies for HNA-1, HNA-3, HNA-4, and HNA-5 were analyzed by the polymerase chain reaction sequence-specific primer (PCR-SSP) method. The primer sequences used for HNA genotyping are listed in Table 2 [18] (the primer sequences for HNA3a, HNA3b, HNA4a, and HNA4b were obtained from the ISBT reference granulocyte laboratory in Giessen). Briefly, 1 μL DNA (100 ng/μL) was amplified in a total volume of 12 μL. The reaction mix was 6 μL Taq 2x Master Mix (Taq DNA Polymerase, Ampliqon, Cat. no: A180301, Denmark) and 1 μL specific primers (10 μM). As an internal control for PCR reaction, the human growth hormone gene (HGH) (2 μM) was amplified. The PCR amplification conditions for FCGR3B∗1 (encoding HNA-1a), FCGR3B∗2 (encoding HNA1b), SLC44A2∗1 (encoding HNA-3a) and SLC44A2∗2 (encoding HNA-3b), ITGAM∗1 (encoding HNA-4a) and ITGAM∗2 (encoding HNA-4b) alleles were same. The PCR amplification was performed using a thermal cycler (ASTEC, Japan) as follows: 3 min initial denaturation at 95°C, followed by 35 cycles of 30 s denaturation at 95°C, 35 s at annealing temperature (different for each set of primers), and 30 s at 72°C and one cycle of 5 min at 72°C for the final extension.
Table 2

List of primer sequences for HNA genotyping using PCR-SSP.

HNA antigensPrimer sequence 5 → 3Amplification size (based Paris)References
HNA-1aHNA1a F CAATGGTACAGGGTGCTC115[13]
HNA1a R CCTGGCTTGAGATGAGGT
HNA-1bHNA1b F CCTCAATGGTACAGCGTGCTT159[13]
HNA1b R ACTGTCGTTGACTGTGTCAG
HNA-1cHNA1c F CCTCAATGGTACAGCGTGCTT160[13]
HNA1c R CACTGTCGTTGACTGTGTCAT
HNA-3aHNA3a F AGT GGC TGA GGT GCT TCG291
HNA3a R GTG CGC CAA TAT CCT CAC TTG
HNA-3bHNA3b F GAGTGGCTGAGGTGCTTCA292
HNA3b R GTG CGC CAA TAT CCT CAC TTG
HNA-4aHNA4a F TCA TGC GAG CCC ATC CG248
HNA4a R ACA AGG AGG TCT GAC GGT G
HNA-4bHNA4b F CTC ATG CGA GCC CAT CCA249
HNA4b R ACA AGG AGG TCT GAC GGT G
HNA-5aHNA5a F TTCTGATATTCCCCACCCTG82[13]
HNA5a R CAGTTAGACGCAGGGCTC
HNA-5bHNA5b F TTCTGATATTCCCCACCCTG84[13]
HNA5b R AGCAGTTAGACGCAGGGCTG
Internal controlHGHF CAG TGC CTT CCCAACCATTCCCTTA495[13]
HGHR ATC CAC TCA CGG ATT TCT GTT GTG TTT C

HNA: human neutrophil antigen; F: forward; R: reverse; HGH: human growth hormone. ∗The primer sequences were obtained from the ISBT reference granulocyte laboratory in Giessen, Germany.

For FCGR3B∗3 (encoding HNA-1c) and ITGAL∗1 (encoding HNA-5a) and ITGAL∗2 (encoding HNA-5b) alleles, a touchdown PCR amplification was performed using BioRad MyCycler thermal cycler with the following reaction cycles: The initial denaturation step was 2 min at 95°C. At the first stage, the temperature was gradually decreased by 0.5°C following each cycle. The second stage consisted of 20 amplification cycles. In both stages, denaturation and elongation steps were held constant for 30 and 10 seconds at 95°C and 72°C, respectively. The final elongation step was planned at 72°C for 5 min after stage 2. Then, 5 μL of the PCR products was run on 1.5% agarose gel to confirm the correct size of the PCR products (Figure 1). To check the correct target gene amplification, sequencing of the PCR products was performed (data not shown).
Figure 1

HNA allele-specific amplicons separated by agarose gel electrophoresis. Gel electrophoresis images are related to FCGR3B (FCGR3B∗01, FCGR3B∗02, FCGR3B∗03), SLC44A2, ITGAM, and ITGAL alleles on 1.5% agarose. The presence of each allele in the DNA samples was confirmed by the amplification of the related gene fragments using specific primers by polymerase chain reaction sequence-specific primer (PCR-SSP). (a–c) Individuals with FCGR3B∗01 (encoding HNA-1a), FCGR3B∗02 (encoding HNA-1b), and FCGR3B∗03 (encoding HNA-1c) positive alleles, respectively. (d, e) Individuals with positive SLC44A2∗1 (encoding HNA-3a) or SLC44A2∗2 (encoding HNA-3b) alleles, respectively. (f, g) Individuals with positive ITGAM∗1 (encoding HNA-4a) or ITGAM∗2 (encoding HNA-4b) alleles, respectively. (h, i) Individuals with positive ITGAL∗1 (encoding HNA-5a) or ITGAL∗2 (encoding HNA-5b) alleles, respectively. Sequence-specific products are shown by arrows. Human growth hormone (HGH) (495 bp) was used as an internal positive control for all PCR-SSP analyses. A DNA ladder (100–1000 bp) has been run in the first lane of the gels (on the left side) (Biofact, SM342-500, Korea).

4. Analysis of the CD177 Expression on the Neutrophil Surface

Flow cytometry was applied to evaluate the expression of the HNA-2 antigen on the neutrophil surface of donors. For this purpose, 100 μL whole blood was incubated with FITC-conjugated antibody specific for CD177 (clone MEM-166; Biolegend, Cat. no.: 315804) for 20 min at room temperature. Following the incubation period, the red blood cells (RBCs) were lysed by applying a lysis reagent (CMGRBL, 10x, Iran). The suspended cells were washed with phosphate-buffered saline (PBS) and immediately examined by flow cytometry. Mouse IgG was used as isotype control (Biolegend). For each sample, approximately 20,000 events were acquired on a BD FACSCanto ™ II flow cytometer. Flow cytometry data was analyzed in the Flowjo software (version 7.6).

5. Statistical Analysis

The frequencies of HNA alleles were obtained by the numbers of observed genotypes. The Chi-square test was used to evaluate any deviation of the observed numbers of genotypes from the expected numbers on the Hardy–Weinberg equilibrium and to compare the difference in HNA genotype frequencies among different populations. For HNA-2, the subjects were grouped based on the antigen expression into four categories, according to a previous report [19]: group 1, strong expression (more than 60%); group 2, intermediate expression (50%-60%); group 3, weak expression (5% to 50%); and group 4, negative reaction (<5%) (Figure 2). ANOVA was used to compare the expression of HNA-2 between different age groups. p values less than 0.05 were considered significant.
Figure 2

Flow cytometry analysis of HNA-2 expression on the neutrophils. The neutrophils were stained in whole blood with FITC conjugated anti-CD177 antibody. (a, b) Unstained and isotype controls were used to set up the flow cytometer and analyze the results. Based on HNA-2 expression, two distinct populations were identified. Among donors, the expression of the HNA-2 antigens was varied. For analysis, individuals were divided into four categories: (c) HNA-2 expression between 5% and 50%, (d) HNA-2 expression between 50% and 60%, (e) HNA-2 expression more than 60%, and (f) with the HNA-2 expression less than 5% (negative). (g) Individuals with two positive populations were analyzed as atypical expression of the HNA-2 antigen. In the histogram plots, CD177 positive and negative neutrophils were identified using bifurcated gates.

6. Results

6.1. HNA Allele Frequencies

A totally of 150 samples were analyzed for HNA-1, HNA-3, HNA-4, and HNA-5 allele frequencies and HNA-2 expression. The allele frequencies related to the HNA-1, HNA-3, HNA-4, and HNA-5 are depicted in Table 3. For HNA-1, FCGR3B∗2 showed the highest allele frequency (0.63). FCGR3B∗1 and FCGR3B∗3 frequencies were 0.34 and 0.03, respectively. Regarding HNA-3, HNA4, and HNA-5 antigens, the allele a was the most common. The frequency of SLC44A2∗1 and SLC44A2∗2 alleles was 0.63 and 0.37, respectively. For ITGAM∗1 and ITGAM∗2 alleles, a frequency of 0.85 and 0.15 was obtained, while the frequency for ITGAL∗1 and ITGAL∗2 alleles was 0.72 and 0.28, respectively.
Table 3

Allele frequency of HNAs in Iranian blood donors.

HNA antigensAllelesNumber of allelesFrequency
HNA-1aFCGR3B11000.34
HNA-1bFCGR3B21890.63
HNA-1cFCGR3B390.03
Total number of alleles3001
HNA-3aSLC44A211890.63
HNA-3bSLC44A221110.37
Total number of alleles300
HNA-4aITGAM12560.85
HNA-4bITGAM2440.15
Total number of alleles300
HNA-5aITGAL12150.72
HNA-5bITGAL2850.28
Total number of alleles300

1One sample with HNA1 null.

Genotyping data for HNA-1, HNA-3, HNA-4, and HNA-5 as well as HWE analysis are shown in Table 4. Among studied subjects, the HNA-1-related gene was deleted only in one donor (0.7%). However, no donor with all three FCGR3B alleles was identified. Chi-square (X2) test was used to evaluate the goodness of fit of the study population to Hardy-Weinberg equilibrium. For this purpose, the genotype frequencies were calculated based on allele frequencies, and then, the significant difference between observed and expected frequencies was evaluated using the X2 test. The respective p values obtained after comparing the difference between observed and expected frequencies for HNA-1, HNA-3, HNA-4, and HNA-5 were 0.125, 0.799, 0.740, and 0.915, respectively. According to the obtained p values (all >0.05), there was no significant deviation for any of genotypes tested in the study population from Hardy-Weinberg equilibrium (Table 4).
Table 4

The distribution of HNA genotype frequencies. HNA genotype frequency distribution in the Iranian population tested for the deviation of Hardy–Weinberg equilibrium.

Genotype frequencyObservedExpectedHardy–Weinberg analysis
Number%Number% X 2 p value
HNA1aa211416.711.38610.125
HNA1bb654359.940.2
HNA1ab553763.442.6
HNA1ac323.022.00
HNA1bc435.703.8
HNA1cc110.130.1
HNA3aa5838.757.738.50.4480.799
HNA3bb1912.721.814.5
HNA3ab7348.670.547
HNA4aa11073.3108720.6010.740
HNA4bb42.732
HNA4ab36243926
HNA5aa7751.378.2520.1790.915
HNA5bb12810.77
HNA5ab6140.761.141

HNAs: human neutrophil antigens; χ2: chi-squared test value. No significant deviation from Hardy–Weinberg equilibrium was observed (p > 0.05).

7. HNA-2 Expression on the Neutrophil Surfaces from Iranian Blood Donors

The expression of HNA-2 on the neutrophil surface was evaluated by flow cytometry, using fluorescence-labeled anti-CD177 mab. Based on HNA-2 expression, donors were categorized into four groups (negative, low, middle, and high expressing) (Figures 2(c)–2(f)). In the studied cohort, HNA-2 was detected in 146 donors (97.3% known as HNA-2-positive) and was absent on neutrophil surface of 4 donors (2.7% known as HNA-2-negative). Atypical expression of HNA-2 (three peaks) was observed in 9 (6%) donors. HNA-2 expression was considered negative if CD177+ cells were less than 5% [20]. The range of CD177 expression was 0.03-95.3 (Mean ± SD: 58.2 ± 21.7). The HNA-2 expression showed no significant difference among different age groups (p = 0.3) (Table 5).
Table 5

Distribution of the HNA-2 among Iranian blood donors based on sex and age.

GenderHNA-2Total
More than 60%50%-60%5%-50%Less than 5%
FemaleAge17-355106
36-504127
>503025
Total1224018

MaleAge17-3518610034
36-5035819365
>5016511133
Total6919404132
A summary of the distribution of HNA allele frequencies among different ethnicities in the study cohort is depicted in Table 6.
Table 6

The distribution of HNA allele frequencies among different ethnicities in the study cohort.

Ethnicity
PersiansAzerbaijanisKurdsGilaks/MazandaranisLursArabs
HNA1aa1551000
bb38222030
cc100000
ab3782530
ac100101
bc220000
a-b-c100000
Total95375661
HNA2>60%53173431
50%-60%1261110
5%-50%28131110
<5%210010
Total95375661
HNA3aa38123221
bb1161010
ab46191430
Total95375661
HNA4aa70302431
bb210010
ab2363220
Total95375661
HNA5aa45220550
bb840000
ab42115111
Total95375661

8. Comparison of HNA Allele Frequencies among Iranian and Other Populations

The HNA-1, HNA-4, and HNA-5 genotype frequencies of Iranian blood donors showed no significant difference from the genotype reported for British and German populations (Table 7, p > 0.05). However, the HNA-1 genotype frequencies in the studied cohort were significantly different from the Hong Kong, Chinese sample form Guangzhou, Danish, and Zambians reports (p < 0.05). Similarly, for HNA-3 antigen, the genotype frequency in our cohort was different from the reported frequencies from Hong Kong, Guangzhou, British, German, Danish, and Zambians (all p < 0.05).
Table 7

Frequencies of HNA genotypes among different populations. NS: not shown.

Genotype frequency of HNA among Iranians, Chinese, and Caucasians.
Hong Kong, ChinaGuangzhouBritishGermanDanishZambians
(Tam et al. [9])Han (Xia et al. [21])(Cardoso et al. [22])(Hauck et al. [11])(Nielsen et al. [15])(Nielsen et al. [15])
GenotypeCurrent studyHomogeneity testHomogeneity testHomogeneity testHomogeneity testHomogeneity testHomogeneity test
HNA1aa1445.7 x 2 = 101.942.6 x 2 = 137.8177.9 x 2 = 13.6315.1 x 2 = 9.213 x 2 = 14.219 x 2 = 69.53
HNA1bb439.3df = 69.1df = 642.9df = 736.1df = 642df = 716df = 7
HNA1cc10 p ≤ 0.010 p ≤ 0.010 p = 0.0580 p = 1570 p = 0.04712 p ≤ 0.01
HNA1ab3744.348.346.447.93925
HNA1ac20000215
HNA1bc3000.70010
HNA1abc0002.1NS43
HNA1a-b-c10.7000.901
HNA3aa38.751.4 x 2 = 6.553.3 x 2 = 14.256.4 x 2 = 14.655.5 x 2 = 8.167 x 2 = 38.295 x 2 = 128.2
HNA3ab48.639.3df = 241df = 240.7df = 237.8df = 229df = 25df = 2
HNA3bb12.79.3 p = 0.0385.6 p ≤ 0.012.9 p ≤ 0.016.7 p = 0.0174 p ≤ 0.010 p ≤ 0.01
HNA4aa73.399 x 2 = 76.399.2 x 2 = 120.878.6 x 2 = 1.0883.2 x 2 = 3.778 x 2 = 1.281 x 2 = 2.5
HNA4ab241df = 20.8df = 219.3df = 215.1df = 221df = 217df = 2
HNA4bb2.70 p ≤ 0.010 p ≤ 0.012.1 p = 0.581.7 p = 0.151 p = 0.532 p = 0.27
HNA5aa51.371.7 x 2 = 24.773.4 x 2 = 29.854.3 x 2 = 0.2755.5 x 2 = 0.8353.0 x 2 = 0.922 x 2 = 34.57
HNA5ab40.727df = 224.3df = 238.6df = 235.3df = 239.0df = 256df = 2
HNA5bb81.3 p ≤ 0.012.4 p ≤ 0.017.1 p = 0.879.2 p = 0.658 p = 0.9522 p ≤ 0.01

9. Discussion

In the last years, multiple attempts have been conducted for the detection of HNA genotyping and allele frequencies all over the world. Considering the importance of HNA allo and autoimmunizations in the mechanism of diseases such as TRALI, NAIN, AIN, and graft rejection, the data on HNA allele frequencies in a population may help to draw a picture for possible allo or auto immunization rate that can support therefore the prevention strategies. The allele frequencies of HNAs have been widely studied all over the world. To date, HNA allele frequencies have been studied for some populations including Chinese [21], German [11], Thai [10], British [22], and Japanese [7]. Studies revealed significant variation in HNA allele frequencies among different populations. The current study is aimed at analyzing the HNA alleles in Iranian population. Our analysis showed a similar frequencies for HNA-1, HNA-4, and HNA-5 alleles with the previous reports from German and British populations [22]. However, these frequencies were significantly different from the Chinese populations [9, 21]. In contrast to Japanese and Chinese reports and similar to Caucasian reports, in the current cohort, FCGR3B∗02 was the most frequently detected HNA-1 allele [7, 9, 11, 13, 15, 21–23]. Recently, the molecular mechanism regulating the HNA2 expression on the neutrophil surface has been partially identified [24]. Genetic mutations and gene polymorphisms responsible for HNA-2 expression deficiency have been investigated in some studies. A nonsense polymorphism has been reported to be associated with the absence of CD177 on the neutrophil surface [25]. Besides, it has been revealed that frameshift mutations in CD177 gene [26] and c.787A > T polymorphism in CD177 in combination with c.997delG or alone are involved in the absence of CD177 antigen on the neutrophil surface [27]. Antibodies against HNA-2 antigen participate in the mechanism of autoimmune neutropenia, allo-immune neutropenia, TRALI, and graft rejection [28-31]. Therefore, the analysis of HNA-2 expression is important to predict the immunization rate against this antigen. In the current study, HNA-2 expression was identified in 146 (97.3%) donors. Similar studies have shown presence of HNA2 on neutrophil surface of 98.7% population in Japanese [7], 97% in Brazilians [32], 86% in Koreans [33], and 99.55% in Thai blood donors [19]. HNA-2 null phenotype (neutrophils with no detectable CD177) has been observed in 3-5% of normal individuals [24]. The findings of the current study indicated a high HNA-2 expression on the neutrophil surface of the majority of the Iranian population. Furthermore, our findings revealed atypical expression of HNA-2 (two distinct positive cell populations) in 6% of donors. Previous studies have reported atypical CD177 expression in 8.5-11.5% of the normal individuals with HNA-2 atypical expression [34, 35]. A previous study on HNA-3 alleles showed a frequency of 0.74 and 0.26 for SLC44A2∗1 and SLC44A2∗2 alleles, respectively [17]. Similarly, the current analysis showed SLC44A2∗1 as the dominant allele with a 0.63 frequency. Interestingly, this frequency is significantly different from other reports in the other populations [7, 9, 11]. The results of HNA-5 typing in 190 Azerbaijani blood donors showed 0.51 and 0.49 frequencies for ITGAL∗1 and ITGAL∗2, respectively [16]. Similarly, our findings indicated ITGAL∗1 as a common allele. Similar results have been obtained from Malay, Chinese, and Indian populations [8]. Iranian population contains high ethnic diversity. The majority of the Iranian population are Persians. Persians and Azerbaijanis make up 70 percent of the population in Iran [36]. The cohort size has limited our analysis on the frequency of different HNA alleles among different ethnic groups in Iran. Hence, further studies with a larger sample size are required to draw a total picture of the distribution of the HNA allele and genotype among the different Iranian ethnic groups. The similarity of some HNA allele frequencies between Iranian and some well-studied populations reported in the other studies may help to predict an immunization figure for those antigens in the Iranian population. Following the current data, a precise immunization rate against HNA alleles required a complementary study on antibody detection.
  30 in total

1.  The frequencies of human neutrophil alloantigens among the Japanese population.

Authors:  M Matsuhashi; N H Tsuno; M Kawabata; Y Mishima; N Okochi; S Santoso; M Tozuka; K Takahashi
Journal:  Tissue Antigens       Date:  2012-07-09

2.  Expression of human neutrophil antigen-2a (NB1) is increased in pregnancy.

Authors:  Lorraine Caruccio; Maria Bettinotti; Kazuhiko Matsuo; Victoria Sharon; David Stroncek
Journal:  Transfusion       Date:  2003-03       Impact factor: 3.157

3.  Genotyping of human neutrophil antigens 1, 3, 4 and 5 using a novel multiplex polymerase chain reaction.

Authors:  C Grabowski; S Jorks; H Kroll
Journal:  Transfus Med       Date:  2019-04       Impact factor: 2.019

4.  Update on the nomenclature of human neutrophil antigens and alleles.

Authors:  Brigitte K Flesch; Brian R Curtis; Masja de Haas; Geoff Lucas; Ulrich J Sachs
Journal:  Transfusion       Date:  2016-04-04       Impact factor: 3.157

5.  Human neutrophil antigen frequency data for Malays, Chinese and Indians.

Authors:  Che Ghazali Norul Hajar; Zefarina Zulkafli; Nor Suhaila Md Riffin; Tuan Hulwani Tuan Mohammad; Sabreena Safuan; Bryan Raveen Nelson; Mohd Tajuddin Abdullah; Geoffrey Keith Chambers; Hisham Atan Edinur
Journal:  Transfus Apher Sci       Date:  2019-10-04       Impact factor: 1.764

6.  The frequencies of human neutrophil alloantigens in the Chinese Han population of Guangzhou.

Authors:  Wenjie Xia; Behnaz Bayat; Ulrich Sachs; Yangkai Chen; Yuang Shao; Xiuzhang Xu; Jing Deng; Haoqiang Ding; Yongshui Fu; Xin Ye; Sentot Santoso
Journal:  Transfusion       Date:  2010-12-16       Impact factor: 3.157

7.  FCGR3 variants and expression of human neutrophil antigen-1a, -1b, and -1c in the populations of northern Germany and Uganda.

Authors:  Brigitte K Flesch; Sandra Doose; Reiner Siebert; Elisabeth Ntambi; Juergen Neppert
Journal:  Transfusion       Date:  2002-04       Impact factor: 3.157

8.  Prolonged neutropenia resulting from antibodies to neutrophil-specific antigen NB1 following marrow transplantation.

Authors:  D F Stroncek; R S Shapiro; A H Filipovich; L B Plachta; M E Clay
Journal:  Transfusion       Date:  1993-02       Impact factor: 3.157

9.  Human neutrophil antigen-2a expression on neutrophils from healthy adults in western Japan.

Authors:  Kikuyo Taniguchi; Masao Kobayashi; Hironori Harada; Asako Hiraoka; Misae Tanihiro; Noboru Takata; Akiro Kimura
Journal:  Transfusion       Date:  2002-05       Impact factor: 3.157

10.  Genetic mechanism of human neutrophil antigen 2 deficiency and expression variations.

Authors:  Yunfang Li; David C Mair; Randy M Schuller; Ling Li; Jianming Wu
Journal:  PLoS Genet       Date:  2015-05-29       Impact factor: 5.917

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