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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Transfusion. 2011 Nov 1;52(5):1106–1111. doi: 10.1111/j.1537-2995.2011.03396.x

Frequencies of SLC44A2 alleles encoding human neutrophil antigen-3 (HNA-3) variants in the African American population

Michael J Huvard 1,*, Pirmin Schmid 1,*, David F Stroncek 1, Willy A Flegel 1
PMCID: PMC3271128  NIHMSID: NIHMS330327  PMID: 22040064

Abstract

Background

The human neutrophil antigen-3 (HNA-3) epitopes reside on the choline transporter-like protein-2 (CTL2). A single-nucleotide substitution (461G>A; Arg154Gln) on the CTL2 gene (SLC44A2) defines the allele SLC44A2*1, which expresses HNA-3a, and SLC44A2*2, which expresses HNA-3b; an additional substitution (457C>T; Leu153Phe) in SLC44A2*1:2 may impact genotyping systems. People who only express HNA-3b may develop anti-HNA-3a. These alloantibodies have been linked to severe transfusion-related acute lung injury (TRALI), which may be a reason to screen blood donors for SLC44A2*2 homozygosity. For Caucasian and Asian populations, SLC44A2 allele frequencies are known. Our primary objective was to determine the SLC44A2 allele frequencies in the African American population.

Study design and methods

Purified DNA from 334 individuals (202 male, 132 female; 241 African American, 93 Caucasian) was collected. Two real-time PCR assays were developed to genotype all samples; results were confirmed by nucleotide sequencing.

Results

In 241 African American donors, the allele frequency of SLC44A2*1 was 93% (85% to <100%; 95% confidence intervals, Poisson distribution) while SLC44A2*2 was 7% (5% to 10%). In 93 Caucasian donors, the allele frequencies of SLC44A2*1 was 83% (71% to 98%) and SLC44A2*2 was 17% (11% to 24%), matching previously reported data for Caucasians but differing from African Americans (p<0.001, Fisher’s exact test).

Conclusions

This study describes the allele frequencies of the 3 known HNA-3 variants in an African American population. We found that African Americans have a significantly lower probability of possessing the SLC44A2*2 allele, and may thus be less likely to form the clinically relevant anti-HNA-3a.

Introduction

Transfusion-related acute lung injury (TRALI) is a major cause of transfusion-associated morbidity and mortality.13 It is characterized as acute respiratory distress during or within 6 hours of transfusion, radiographic evidence of new bilateral pulmonary infiltrates, and signs of hypoxia in the absence of circulatory overload.2,4 Hypotension is typically associated with TRALI, but not required for diagnosis.5 Approximately 80% of reported TRALI cases could be linked to transfused blood products containing leukocyte-specific alloantibodies, the majority of which are against human leukocyte antigen (HLA) class I or II.6 Although alloantibodies directed against human neutrophil antigen (HNA) were detected in only about 5% of cases, these antibodies, in particular against HNA-3, are strong.7 Residual plasma (~20 mL) in an RBC unit can hold enough antibodies against HNA-3 to cause TRALI.7

In 1964, HNA-3 was first described serologically by van Leeuwen et al. as group 5a and 5b antigens.8 HNA-3 may be expressed on granulocytes, platelets, and mononuclear white blood cells (WBCs).3 Antibody detection and phenotyping was performed by granulocyte agglutination and granulocyte immunofluorescence assays, tests that required highly trained staff and rare polyclonal anti-sera.9 But in 2010 the molecular basis of HNA-3 was elucidated.10 This discovery made genotyping possible. The HNA-3 epitopes are associated with a biallelic polymorphism caused by a single-nucleotide exchange (461G>A; Arg154Gln) in the choline transporter-like protein-2 gene (SLC44A2).1013 The allele SLC44A2*1, which expresses the HNA-3a phenotype (formerly 5b), is caused by a 461G; SLC44A2*2, which expresses the HNA-3b phenotype (formerly 5a), is caused by a 461A (Table 1).14 Furthermore, an additional single-nucleotide exchange (457C>T; Leu153Phe) was recently reported that creates a variant of the SLC44A2*1 allele (SLC44A2*1:2) and may yield false negative genotyping results for HNA-3a if the specific primer encompasses the mutation.15

Table 1.

SLC44A2 alleles associated with HNA-3 antigen expression

Allele
nomenclature*
Nucleotide position
Antigen
expression
Alternatively used allele names
457 461
SLC44A2*1:1 C G HNA-3a SLC44A2*461G,10 HNA-3a,14 CTL2-541G,15 CTL2-537C15
SLC44A2*1:2 T G HNA-3a CTL2-537T15
SLC44A2*2 C A HNA-3b SLC44A2*461A,10 HNA-3b,14 CTL2-541A15
*

SLC44A2*1 summarizes SLC44A2*1:1 and SLC44A2*1:2

Nucleotide positions are defined based on the reference sequence NC_000019.9 (range 10713121..10755235) with the first nucleotide of the coding sequence (CDS) of the longer splice variant designated as nucleotide position 1.

HNA-3 genotyping can be used to screen for donors capable of developing anti-HNA-3a, antibodies that have a well documented association with severe TRALI.3,16,17 Pregnant women who are homozygous for HNA-3b are the most likely to become immunized against HNA-3a. In countries applying leukodepletion to RBC units, men have been found to be usually negative for anti-leukocyte antibodies.7,18

Frequencies of the SLC44A2 alleles that encode the HNA-3 variants, so far described in various populations, influence the risk of immunization and thus the risk for TRALI in transfusion patients. In a German population, the allele frequency of SLC44A2*1 was 79.2% while SLC44A2*2 was 20.7%.14 The frequency of SLC44A2*1:1 with the highly prevalent 457C was 99%; the frequency of SLC44A2*1:2, which encodes for the rare 457T variant, was 1%.15 In a Chinese population, the frequency of SLC44A2*1 was 73.8% and SLC44A2*2 was 26.2%.19 These SLC44A2*2 allele frequencies are comparable with allele frequencies listed in dbSNP (cluster rs2288904) for Caucasian and Asian populations. In contrast, the SLC44A2*2 allele frequency is only 0% to 1.9% for Sub-Saharan Africans (mainly HapMap and 1000 Genomes projects data), which indicates that a different allele frequency has to be expected also for African Americans. The aim of this study was to determine the allele frequencies for an African American population.

Materials and Methods

Donor population recruitment

After obtaining written informed consent, EDTA blood samples from 334 individuals (202 male, 132 female) were collected and DNA extracted (EZ1 DNA blood kit on the BioRobot EZ1 Workstation; Qiagen, Valencia, CA). These donors, who were mainly African American, represented all active platelet donors, 95% of active African American whole blood donors, and all of African American research donors at our institution.

HNA-3 genotyping by real-time PCR

A real-time PCR assay was developed to genotype the DNA samples. DNA was amplified in two parallel reactions by previously described SLC44A2*1 (AGTGGCTGAGGTGCTTCG; Eurofins MWG Operon, Huntsville, AL) or SLC44A2*2 (GAGTGGCTGAGGTGCTTCA) allele-specific sense primers14 coupled with a new antisense primer (cagaggatggcaccagtcag) which produced an amplicon of 140 bp.

Real-time PCR was performed with 0.2 µL of DNA (10 to 100 ng/µL), 1 µL of 10 µM of primer, 7.8 µL of H2O (Molecular Biology Grade Water; Crystalgen, Long Island, NY), and 10 µL of EvaGreen (SsoFast EvaGreen Supermix; Bio-Rad, Hercules, CA) for a total volume of 20 µL per reaction by a thermal cycler (Bio-Rad CFX96) with an initiation step at 95°C for 30 seconds, followed by 40 cycles at 95°C for 5 seconds and then 72°C for 4 seconds with plate read out at the end of the annealing/extension step. Each reaction was run in duplicates. Positive and negative DNA controls for SLC44A2*1 and SLC44A2*2 were verified with sequence analysis and used on each 96 well plate running 22 samples.

The genotype of the samples was determined by relative comparison of the quantification cycle (Cq) of both assays, where A corresponds to SLC44A2*1:1 and B corresponds to SLC44A2*2.

A:B ratio=2CqbCqa (1)

The following cut-off values were used: an A:B ratio > 50 for homozygous SLC44A2*1:1, a ratio < 0.1 for homozygous SLC44A2*2, and a ratio between > 0.2 and < 25 for heterozygous SLC44A2*1:1 and SLC44A2*2; ratios outside of our criteria were labeled indeterminate. Because all reactions were run in duplicates, two ratios were calculated for each sample. If a sample’s genotype could not be determined unequivocally, then it was repeated (39 samples, 11.6%). All repetitions were done with 1:10 diluted DNA to overcome the presence of inhibitors20 in the samples that were initially ruled indeterminate. The distribution of the A:B ratios were analyzed for quality control (Table S1).

HNA-3 nucleotide sequencing

DNA was sequenced similar to a previously published method for RHD.21 One amplification reaction covering the HNA-3 SNP region was run for each sample (total volume 25 µl): 19.6 dH2O, 2.5 µl 10x buffer, 0.5 µl dNTP (10 mM), 0.25 µl each of NA3f1 (CTCCCGGGACTTTGAGTACT) and NA3r1 (gtgcgccaatatcctcacTTG) primers (10 µM), 0.125 µl Taq enzyme (FastStart High Fidelity PCR System, dNTPack; Roche Applied Science, Indianapolis, IN), and 1 µl DNA (~100 ng/µl). Thermal cycler (Bio-Rad C1000) conditions were 95°C for 3 min; 45 cycles with 95°C for 30 sec, 58°C for 30 sec, 72°C for 5 min. 2.5 µl of amplified DNA was purified with 1 µL of PCR clean-up kit (ExoSAP-IT; Affymetrix, Santa Clara, CA). Sequencing reactions were run for each sample by adding 1.25 µl primer, 1.8 µl BigDye v3.1 Terminatory Mix (Applied Biosystems, Carlsbad, CA), 14 µl dH2O. Thermocycler conditions were 25 cycles of 96°C for 15 sec, 58°C for 10 sec, 60° for 4 min. Unincorporated dye was removed (DyeEx 96 well plates; Qiagen), the sequences dehydrated (Savant SPD 2010 SpeedVac Concentrator; ThermoScientific, Wilmington, DE) and resuspended in 10 µl formamide (Hi-Di formamide; Applied Biosystems) before chromatography analysis on an AB 3730 DNA analyzer (Applied Biosystems). Sequencing results were aligned to NCBI RefSeq NC_000019.9 (range 10713121..10755235) and analyzed with CodonCode Aligner software (CodonCode, Dedham, MA).

Statistical analysis

Data are shown as mean and 95% confidence interval (CI) based on Poisson distribution. Data analysis was done with Excel (Microsoft, Redmond, WA) and MedCalc (MedCalc Software, Mariakerke, Belgium).

Results

DNA from 334 donors was collected and genotyped with real-time PCR. 241 individuals self-reported as African American and 93 as Caucasian.

Real-time PCR analysis

In the African American population (n=241), one individual was homozygous for SLC44A2*2 (Table 2), and thus is expected to express only HNA-3b. In the Caucasian population (n=93), two individuals were homozygous for SLC44A2*2. The allele frequencies of SLC44A2*1 and SLC44A*2 differed significantly between African Americans and Caucasians (Table 3). Overall, three donors were expected to express only HNA-3b. This amounts to 0.9% of all tested donors.

Table 2.

Genotype frequencies of SLC44A2 expressing HNA-3 variants in African Americans and Caucasians

African American
Caucasian
SLC44A2 genotype Predicted HNA-3
expression
Donors
(n)
Population frequency
Donors
(n)
Population frequency
Mean 95% CI * Mean 95% CI *
SLC44A2*1, SLC44A2*1 aa 209 86.7% 75% – 99% 64 68.8% 53% – 88%
SLC44A2*1, SLC44A2*2 ab 31 12.9% 9% – 18% 27 29.0% 19% – 42%
SLC44A2*2, SLC44A2*2 bb 1 0.4% 0.01% – 2% 2 2.2% 0.3% – 8%
Total 241 93
*

95% confidence interval calculated by Poisson distribution

Table 3.

Allele frequencies of SLC44A2 in African Americans and Caucasians

African American *
Caucasian *
Allele n Population frequency
n Population frequency
Mean 95% CI Mean 95% CI
SLC44A2*1 449 93% 85% – <100% 155 83% 71% – 98%
SLC44A2*2 33 7% 5% – 10% 31 17% 11% – 25%
Total 482 186
*

Significant difference between African Americans and Caucasians (p<0.0001; Fisher’s exact test)

95% confidence interval calculated by Poisson distribution

Sequence analysis

Based on the publication of additional mutations in the primer region of the HNA-3a specific primer,12 sequence analysis of the involved nucleotide region was performed for all samples. All sequences confirmed the results obtained by our real-time PCR in respect to the HNA-3a and HNA-3b polymorphism. This corresponds to a sensitivity and specificity of 100% of the real-time analysis system for 334 samples. We detected 3 samples that were heterozygous for the newly described SLC44A2*1:2 (457C>T, also expressing HNA-3a) and the more prevalent SLC44A2*1:1, thus not influencing the real-time PCR assay in the tested population. We calculated the distribution of the HNA-3a expressing alleles SLC44A2*1:1 (457C) to be 99.5% (91.7% to <100%; 95% CI, Poisson distribution) and SLC44A2*1:2 (457T) to be 0.5% (0.1% to 1.5%).

457C>T polymorphism

To further assess the validity of our real-time PCR assay, we tested two samples that were heterozygous for SLC44A2*1:2 and SLC44A2*2 alleles (kindly provided by Priv.-Doz. Dr. rer. nat. Brigitte K. Flesch, Bad Kreuznach, Germany). The average A:B ratios of the samples were 0.02 and 0.01 respectively, indicating a genotype based on our algorithm that is homozygous for SLC44A2*2.

Discussion

The aim of this study was to determine the allele frequencies of SLC44A2, which encodes for the HNA-3 epitopes, in the African American population. We found that the allele frequency of SLC44A2*2 in African Americans was 7%, which is lower than previously reported in Caucasians and Asians (21% and 26%, respectively)14,19 but higher than known frequencies for Sub-Saharan Africans (0% to 1.9%; dbSNP cluster rs2288904). Therefore, African Americans may have a lower probability than Caucasians and Asians of being homozygous for SLC44A2*2, expressing only HNA-3b, and then potentially forming anti-HNA-3a, the clinically relevant antibody linked to TRALI.

The higher SLC44A2*2 allele frequency of African Americans compared to Sub-Saharan Africans may simply be explained by admixture among populations. So far, there is no selective pressure known – as P. vivax malaria for the Fy(a-b-) phenotype22 – that could explain the different allele frequencies found in Asians and Caucasians compared to Africans. Natural selection due to potentially fatal transfusion reactions caused by alloantibodies cannot explain the differences, but the impact of a tropical infectious disease agent might.

Implementing a screening strategy involves first recognizing which blood products can harbor anti-HNA-3a. Typically, it is thought that anti-HNA-3a is found in plasma-rich components like platelet concentrates. But components other than platelet concentrates can cause TRALI. A recent report from the French Hemovigilance Network reminds us that many TRALI cases are not related to plasma-rich components but rather plasma components in red blood cell (RBC) units.23 They calculated the TRALI risk per component of single-donor fresh-frozen plasma and apheresis platelet concentrates to be 1:31,000, and the risk per component of RBCs to be 1:173,000. But when they analyzed the causes of 62 TRALI cases and 23 possible TRALI cases, they found that the approximately half of the TRALI cases were associated with RBC units. This finding may be attributed to the fact that there are many more RBC transfusions than plasma or platelet transfusions.

It has been proposed by several experts that blood product donors should be screened for anti-HNA-3a alloantibodies.9,10 Until recently, this was not feasible for most donor centers because sophisticated serological typing with rare anti-sera was needed. Genotyping with a PCR assay14 – in particular a fast, sensitive, and specific real-time PCR assay, like the one described here – offers a quick and simple method for screening all donors. But both currently available genotyping assays are limited because the specific primer for the SLC44A2*1 alleles encompasses the additional SNP that distinguishes the common SLC44A2*1:1 allele from the rare SLC44A2*1:2 allele. The faint bands of SLC44A2*1:2 alleles15 may be missed on a gel picture; an A:B ratio < 0.1 is interpreted as homozygous for SLC44A2*2 in our very specific assay. Not detecting the SLC44A2*1:2 allele, however, is only clinically relevant in the rare heterozygous combination with SLC44A2*2, a scenario that leads to a false positive denotation of a donor as SLC44A2*2 homozygous.

Currently, SLC44A2 genotyping assays are used to screen for donors who are homozygous for SLC44A2*2. Not detecting the rare SLC44A2*1:2 variant leads to donors who are falsely labeled homozygous SLC44A2*2 (approximately 0.07% to 0.4% of all donors, based on allele frequencies), which is a conservative and thus favorable screening approach.

While it is feasible to design an alternative PCR system with the specific primer on the alternate DNA strand, it cannot be excluded that a similar SNP can also be found in the range of this new specific primer. Thus, we preferred to use nucleotide sequencing to validate the assays and to confirm the genotype of our donors. Screening may be expanded to cover the 457 C>T polymorphism for specific detection of the SLC44A2*1:2 allele.

It should also be noted that anti-HNA-3b may cause TRALI. While many references discuss the clinical significance of anti-HNA-3a, we have not found any report of TRALI caused by anti-HNA-3b. This may be because the circumstances leading to the development and then transfusion of anti-HNA-3b are extremely rare. Given the immunization rates of anti-HNA-3a (7%) and anti-HNA-3b (0.5%),14 we calculated that the expected ratio of anti-HNA-3a to anti-HNA-3b TRALI cases is approximately 12:1 (assuming equal antibody potency). Furthermore, detecting anti-HNA-3b serologically is difficult due to the rare anti-sera required; this fact may contribute to underreporting of anti-HNA-3b triggered TRALI. And if anti-HNA-3b, like anti-HNA-3a, can induce TRALI, then it is a less frequent cause.

In conclusion, we developed a sensitive and specific screening assay to genotype HNA-3 in a high-throughput setting. We determined allele frequencies for African Americans, who have a lower probability of being homozygous for SLC44A2*2 than Caucasians and Asians.

Supplementary Material

Supp Table S1

Acknowledgments

We thank Brigitte K. Flesch, Bad Kreuznach/Germany for providing samples heterozygous for SLC44A2*1:2 and SLC44A2*2. We acknowledge Sherry L. Sheldon for help in validating the HNA-3 genotyping system, locating DNA samples, and assisting in donor recruitment, and Sharon D. Adams for processing DNA samples. This research was supported by the Intramural Research Program of the NIH Clinical Center.

Footnotes

Conflict of interest disclosure: The authors declare no competing interests relevant to this article.

Statement of Disclaimer: The views expressed do not necessarily represent the view of the National Institutes of Health, the Department of Health and Human Services, or the U.S. Federal Government.

Authorship contribution: DFS and WAF conceived the study. MJH, PS, and WAF designed, and MJH and PS executed the experiments. MJH, PS, and WAF analyzed the data. All authors prepared and approved the manuscript.

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Supplementary Materials

Supp Table S1

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