Journal List > Ann Lab Med > v.40(6) > 1145824

Hajar, Zefarina, Md. Riffin, Mohammad, Hassan, Dafalla, ElGhazali, Chambers, and Edinur: Human Platelet Antigen Datasets for Malays, Chinese, and Indians in Peninsular Malaysia
Dear Editor,
Human platelet antigens (HPAs) are genetically inherited polymorphic glycoproteins expressed on the platelet membrane [1]. HPAs are transfusion and gestation compatibility determinants, and HPA alloantibodies have been reported in post-transfusion purpura, platelet transfusion refractoriness, and neonatal alloimmune thrombocytopenia (NAIT) cases [2].
Previously, we reported HPA allele frequency data for Malay subethnic groups [3] and Orang Asli [4] in Peninsular Malaysia. These earlier studies have provided a valuable preliminary source of genetic information for health assessments and population genetics. However, a complete picture of the genetic structure in Peninsular Malaysia should also include data from Malays (i.e., Deutero-Malays), Chinese, and Indians, as they represent >75% of the total population [5]. There are some HPA data for Malays, Chinese, and Indians reported by Tan, et al. [6]; the present HPA data can be compared with those data.
We typed HPA-1 to −6 and HPA-15 loci in blood samples obtained with informed consent from a total of 222 individuals registered as voluntary, non-remunerated blood donors at the Hospital Universiti Sains Malaysia (Kelantan), Hospital Seberang Jaya (Pulau Pinang), and Temerloh Hospital (Pahang) in Malaysia. The individuals were un-admixed with no history of intermarriage with other ethnic groups for three generations. The ethnicity classes of these samples were assigned as Malay (N=97), Chinese (N=77), and Indian (N=48) based on individual pedigree information. Our proposed study was reviewed and approved by the Human Ethical Committee, Universiti Sains Malaysia, Malaysia, and the Medical Research and Ethics Committee, Ministry of Health, Malaysia. The HPA typing and data analysis were performed as previously described by Wan Syafawati, et al. [3] and Syafawati et al. [4]. Briefly, isolated genomic DNA was amplified using polymerase chain reaction and sequence-specific primers (PCR-SSP) for HPA-1 to −6 and −15. Amplified products were then separated using agarose gel electrophoresis (2% agarose gels stained with ethidium bromide) and visualised using a UV photometer (Quantum ST4-1000/20M, VilberLourmat, Deutschland GmbH, Eberhardzell, Germany). The separated band patterns (amplified allele-specific HPA products and human growth hormone) were then compared with a 100 base pair DNA size standard (Bioline, London, UK). HPA allele frequencies were determined by dividing the allele count numbers by the total numbers of chromosomes (2n) tested. Genetic differentiations between pairs of HPA population datasets were evaluated using Arlequin version 3.0 software [7] and were considered statistically significant at P<0.05.
The present and previously reported HPA datasets of various population groups in Peninsular Malaysia are shown in Table 1 [3, 4, 6]. These HPA datasets reveal that Malays and Chinese differ significantly (P<0.05) from Indians (Table 2). However, no significant differences were observed between the HPA datasets of Malays and Chinese. Importantly, Malays, Chinese, and Indians are the modern-day descendants of ancestrally unrelated ethnic groups in Peninsular Malaysia; the inability of the HPA datasets to differentiate between Malays and Chinese needs to be resolved using more informative genetic markers, including genome-wide single nucleotide polymorphisms and whole genome sequencing data [8]. In addition, some of the ancestral relationships might also be obscured by demographic processes such as natural selection and founder effects. Of these forces, natural selection is expected to have a greater effect on genes that are important in the medical field such as HPA, compared with other regions in the human genome [1]. For example, some differences observed between ancestrally related Proto-Malays (Orang Kanaq), Malay subethnic groups, and Malays could possibly be attributed to gene flow via admixture and historical events at the population level (as mentioned earlier), rather than different origins (Table 2) [8].
In our view, HPA datasets for various population groups in Peninsular Malaysia (Tables 1 and 2) also have significant value for health and have been identified as genetic risk factors for many diseases [9]. The risk of HPA alloimmunization in Peninsular Malaysia might be expected to be most frequently associated with alloantibodies against HPA-3 and HPA-15 products, as these are the most polymorphic loci observed within and between population groups in Peninsular Malaysia (Tables 1 and 2). Our hypothesis regarding HPA alloimmunization risk is supported by the presence of HPA-1a, -3a, -5a, and -15b alloantibodies in most of the NAIT cases and multi-transfused thrombocytopenia patients in Malaysia [10]. Therefore, implementation of HPA typing could reduce the incidence of HPA alloimmunization cases in Malaysia.
In conclusion, to the best of our knowledge, our study is the first complete representative collection of HPA datasets for all population groups in Peninsular Malaysia. These datasets can be used for developing better healthcare services and as a reference standard for identifying genetic risk factors for many diseases associated with HPAs.

ACKNOWLEDGEMENTS

We are grateful to the volunteers and patients who contributed to this study. We specifically thank all the nurses and doctors who helped collect the blood samples.

Notes

AUTHOR CONTRIBUTIONS

CGNH designed and performed the research, collected the data, analyzed the data, and wrote the manuscript; ZZ helped design the study, managed sample collection, and obtained our ethics permit from the Ministry of Health, Malaysia; NSMR and THTM helped with study design, sampling, and data collection; MNH, AMD, GEG, and GKC designed the study, advised on statistics, and edited the manuscript; and HAE designed and directed the study, advised on statistics, edited the manuscript, funded the research, managed the study, and obtained ethical approval from Human Ethics Committee, Universiti Sains Malaysia.

CONFLICTS OF INTEREST

No potential conflicts of interest relevant to this paper were reported.

RESEARCH FUNDING

This research was supported by a Short-Term Grant (304/PPSK/6315142) and Bridging Grant (304/PPSK/6316132) awarded by the Universiti Sains Malaysia to Hisham A. Edinur. Geoffrey K. Chambers wishes to thank the Victoria University of Wellington for Alumnus Scholar support.

REFERENCES

1. Robinson J, Mistry K, McWilliam H, Lopez R, Marsh SG. IPD- the immuno polymorphism database. Nucleic Acids Res. 2010; 38:D863–9.
2. Saleh RM, Zefarina Z, Che Mat NF, Chambers GK, Edinur HA. Transfusion medicine and molecular genetic methods. Int J Prev Med. 2018; 9:45.
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3. Wan Syafawati WU, Norhalifah HK, Zefarina Z, Zafarina Z, Panneerchelvam S, Norazmi MN, et al. Allele frequencies of human platelet antigens in Banjar, Bugis, Champa, Jawa, and Kelantan Malays in Peninsular Malaysia. Transfus Med. 2015; 25:326–32.
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4. Syafawati WU, Zefarina Z, Zafarina Z, Hassan MN, Norazmi MN, Panneerchelvam S, et al. Human platelet antigen allelic diversity in Peninsular Malaysia. Immunohematology. 2016; 32:143–60.
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8. Norhalifah HK, Syaza FH, Chambers GK, Edinur HA. The genetic history of Peninsular Malaysia. Gene. 2016; 586:129–35.
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Table 1
HPA allele frequency distribution in the present and previous studies
Population (N) 1a 1b 2a 2b 3a 3b 4a 4b 5a 5b 6a 6b 15a 15b
Malays (present study) 97 0.985 0.015 0.969 0.031 0.510 0.490 1.000 0.000 0.990 0.010 0.990 0.010 0.479 0.521
Chinese (present study) 77 1.000 0.000 0.980 0.020 0.591 0.410 1.000 0.000 0.987 0.013 0.994 0.006 0.526 0.474
Indians (present study) 47 0.979 0.021 0.969 0.031 0.521 0.479 1.000 0.000 0.959 0.041 0.990 0.010 0.375 0.625
Banjar [3] 30 1.000 0.000 0.950 0.050 0.616 0.384 0.950 0.050 0.950 0.050 0.980 0.020 0.480 0.520
Bugis [3] 37 1.000 0.000 1.000 0.000 0.554 0.446 1.000 0.000 0.950 0.050 0.910 0.090 0.620 0.380
Champa [3] 51 0.980 0.020 0.970 0.030 0.677 0.323 1.000 0.000 0.990 0.010 0.980 0.090 0.480 0.520
Jawa [3] 39 1.000 0.000 1.000 0.000 0.628 0.372 1.000 0.000 0.960 0.040 1.000 0.000 0.450 0.550
Kelantan [3] 35 1.000 0.000 0.940 0.060 0.571 0.429 1.000 0.000 1.000 0.000 0.990 0.010 0.490 0.510
Orang Kanaq [4] 11 1.000 0.000 1.000 0.000 0.818 0.182 1.000 0.000 1.000 0.000 1.000 0.000 0.909 0.091
Batek [4] 27 1.000 0.000 1.000 0.000 0.500 0.500 1.000 0.000 0.852 0.148 1.000 0.000 0.000 1.000
Lanoh [4] 25 1.000 0.000 1.000 0.000 0.640 0.360 1.000 0.000 1.000 0.000 1.000 0.000 0.260 0.740
Kensiu [4] 36 0.958 0.042 1.000 0.000 0.875 0.125 1.000 0.000 0.847 0.153 1.000 0.000 0.361 0.639
Che Wong [4] 26 1.000 0.000 1.000 0.000 0.423 0.577 1.000 0.000 0.788 0.212 1.000 0.000 0.500 0.500
Semai [4] 40 0.988 0.012 1.000 0.000 0.671 0.329 1.000 0.000 0.890 0.110 1.000 0.000 0.524 0.476
Malays [6] 200 0.975 0.025 0.963 0.037 0.503 0.497 0.995 0.005 0.950 0.050 0.993 0.007 0.515 0.485
Chinese [6] 200 1.000 0.000 0.967 0.033 0.573 0.427 0.998 0.002 0.983 0.017 0.983 0.017 0.498 0.502
Indians [6] 200 0.885 0.115 0.960 0.040 0.620 0.380 0.995 0.005 0.940 0.060 0.995 0.005 0.408 0.592
Table 2A
Homogeneity between pairs of population groups in Peninsular Malaysia
HPA-1

Malays Chinese Indians Banjar [3] Bugis [3] Champa [3] Jawa [3] Kelantan [3] O. K. [4] Batek [4] Lanoh [4] Kensiu [4] C. W. [4] Semai [4] Malays [6] Chinese [6] Indians [6]
Malays * 0.257 NA NA 0.558 NA 0.557 0.568 NA NA NA 0.340 NA NA NA NA <0.000
Chinese 0.088 * 0.145 NA NA 0.158 NA NA NA NA NA 0.032 NA 0.344 NA NA <0.000
Indians 1.000 0.294 * 0.520 0.501 NA 0.499 0.507 NA 0.534 0.544 0.650 0.538 NA NA NA 0.004
Banjar [3] 0.441 0.063 0.669 * NA 0.530 NA NA NA NA NA 0.241 NA NA NA NA 0.003
Bugis [3] 0.184 1.000 0.254 0.085 * 0.508 NA NA NA NA NA 0.114 NA NA NA NA <0.000
Champa [3] 0.209 1.000 0.349 0.193 1.000 * 0.504 0.516 NA 0.539 NA 0.645 0.545 NA NA NA 0.003
Jawa [3] 0.183 1.000 0.249 0.076 NA 1.000 * NA NA NA NA 0.108 NA NA NA NA 0.001
Kelantan [3] 0.453 0.034 0.450 1.000 0.052 0.160 0.046 * NA NA NA 0.239 NA NA NA NA <0.000
O. K. [4] 1.000 1.000 1.000 0.551 NA 1.000 NA 0.557 * NA NA NA NA NA NA NA 0.162
Batek [4] 0.340 1.000 0.546 0.239 NA 1.000 NA 0.127 NA * NA 0.252 NA NA NA NA 0.004
Lanoh [4] 0.343 1.000 0.545 0.241 NA 1.000 NA 0.135 NA NA * 0.263 NA NA NA NA 0.008
Kensiu [4] 0.190 1.000 0.255 0.088 NA 1.000 NA 0.052 NA NA NA * NA NA NA NA 0.159
C.W [4] 0.338 1.000 0.255 0.242 NA 1.000 NA 0.131 NA NA NA NA * NA NA NA 0.005
Semai [4] 0.178 1.000 0.249 0.076 NA 1.000 NA 0.043 NA NA NA NA NA * NA NA 0.004
Malays [6] 0.812 0.035 1.000 0.713 NA 0.079 NA 0.498 0.623 0.223 0.386 0.139 0.230 0.086 * NA <0.000
Chinese [6] 0.857 0.200 0.782 0.492 0.343 0.272 0.352 0.360 0.705 0.439 0.660 0.662 0.350 0.543 0.857 * <0.000
Indians [6] 1.000 0.106 1.000 0.542 0.269 0.196 0.280 0.426 0.641 0.459 0.438 0.271 0.459 0.277 1.000 0.836 *
HPA-2
Table 2B
HPA-3

Malays Chinese Indians Banjar [3] Bugis [3] Champa [3] Jawa [3] Kelantan [3] O. K. [4] Batek [4] Lanoh [4] Kensiu [4] C. W. [4] Semai [4] Malays [6] Chinese [6] Indians [6]
Malays * 0.132 0.251 0.186 <0.001 0.002 0.116 0.600 0.016 0.871 0.038 <0.001 0.419 0.016 0.711 0.190 0.018
Chinese NA * 0.522 0.960 <0.001 0.263 0.899 0.891 0.192 0.193 0.467 <0.001 0.048 0.376 0.136 0.872 0.784
Indians NA NA * 0.584 0.019 0.130 0.402 0.526 0.060 0.236 0.381 <0.001 0.139 0.376 0.434 0.388 0.297
Banjar [3] 0.013 0.019 0.075 * 0.014 0.638 1.000 0.804 0.332 0.206 0.722 0.003 0.063 0.675 0.239 0.761 0.297
Bugis [3] NA NA NA 0.085 * 0.025 0.006 0.001 0.016 <0.001 0.160 <0.001 <0.001 0.002 <0.001 <0.001 0.955
Champa [3] NA NA NA 0.047 NA * 0.602 0.186 0.572 0.014 0.900 0.012 0.003 0.590 0.001 0.060 0.009
Jawa [3] NA NA NA 0.077 NA NA * 0.700 0.346 0.15 0.661 0.002 0.038 0.743 0.105 0.658 0.099
Kelantan [3] NA NA NA 0.095 NA NA NA * 0.105 0.605 0.337 <0.001 0.172 0.348 0.554 0.969 0.964
O. K. [4] NA NA NA 0.551 NA NA NA NA * 0.025 0.373 0.467 0.003 0.672 0.008 0.101 0.694
Batek [4] NA NA NA 0.238 NA NA NA NA NA * 0.050 <0.001 0.667 0.048 0.630 0.280 0.216
Lanoh [4] NA NA NA 0.240 NA NA NA NA NA NA * 0.009 0.015 0.448 0.056 0.257 0.279
Kensiu [4] NA NA NA 0.089 NA NA NA NA NA NA NA * <0.001 0.020 <0.001 <0.001 <0.001
C.W [4] NA NA NA 0.242 NA NA NA NA NA NA NA NA * 0.006 0.341 0.069 0.009
Semai [4] NA NA NA 0.073 NA NA NA NA NA NA NA NA NA * 0.008 0.184 0.523
Malays [6] NA NA NA 0.002 NA NA NA NA NA NA NA NA NA NA * 0.127 0.009
Chinese [6] NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0.368 * 0.396
Indians [6] NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0.368 *
HPA-4
Table 2C
HPA-5

Malays Chinese Indians Banjar [3] Bugis [3] Champa [3] Jawa [3] Kelantan [3] O. K. [4] Batek [4] Lanoh [4] Kensiu [4] C. W. [4] Semai [4] Malays [6] Chinese [6] Indians [6]
Malays * 1.000 0.093 1.000 0.049 1.000 0.142 1.000 1.000 <0.001 <0.001 1.000 <0.001 1.000 0.723 0.723 0.008
Chinese 1.000 * 0.200 1.000 0.088 1.000 0.333 1.000 1.000 <0.001 <0.001 1.000 <0.001 0.546 1.000 1.000 0.038
Indians 1.000 1.000 * 0.154 0.723 0.193 1.000 0.134 1.000 0.023 0.010 0.292 0.003 0.125 0.233 0.229 0.834
Banjar [3] 0.556 0.484 1.000 * 0.122 1.000 0.254 NA NA 0.001 <0.001 NA <0.001 NA 0.596 0.598 0.203
Bugis [3] 0.001 0.001 0.018 0.068 * 0.158 0.709 0.116 0.559 0.099 0.045 0.140 0.012 0.049 0.071 0.071 1.000
Champa [3] 1.000 1.000 1.000 1.000 0.009 * 0.318 1.000 1.000 <0.001 <0.001 1.000 <0.001 1.000 1.000 1.000 0.098
Jawa [3] 0.143 0.109 0.321 0.628 0.190 0.312 * 0.241 1.000 0.042 0.018 0.271 0.004 0.115 0.214 0.212 0.813
Kelantan [3] 1.000 1.000 1.000 0.459 0.011 1.000 0.240 * NA <0.001 <0.001 NA <0.001 NA 0.597 0.595 0.093
O. K. [4] 1.000 1.000 1.000 1.000 0.177 1.000 1.000 NA * 0.074 NA 0.046 0.018 NA 1.000 1.000 0.635
Batek [4] 1.000 1.000 1.000 1.000 0.016 1.000 0.267 NA NA * 0.004 1.000 0.568 <0.001 <0.001 <0.000 0.028
Lanoh [4] 1.000 1.000 1.000 1.000 0.036 1.000 0.275 NA NA NA * 0.001 <0.001 NA 1.000 1.000 0.242
Kensiu [4] 1.000 1.000 1.000 0.455 0.010 1.000 0.241 NA NA NA NA * 0.589 <0.001 <0.001 <0.000 0.013
C.W [4] 1.000 1.000 1.000 1.000 0.035 1.000 0.265 NA NA NA NA NA * <0.001 <0.001 <0.000 0.002
Semai [4] 1.000 1.000 1.000 0.428 0.004 1.000 0.113 NA NA NA NA NA NA * 0.604 0.601 0.295
Malays [6] 0.722 0.448 1.000 1.000 0.002 1.000 0.211 NA NA NA NA NA NA NA * 1.000 0.003
Chinese [6] 0.724 0.450 1.000 1.000 0.002 1.000 0.210 NA NA NA NA NA NA NA 1.000 * 0.003
Indians [6] 0.602 1.000 0.474 0.344 <0.001 0.492 0.032 NA NA NA NA NA NA NA 0.169 0.175 *
HPA-6
Table 2D
HPA-15

Malays Chinese Indians Banjar [3] Bugis [3] Champa [3] Jawa [3] Kelantan [3] O. K. [4] Batek [4] Lanoh [4] Kensiu [4] C. W. [4] Semai [4] Malays [6] Chinese [6] Indians [6]
Malays * 0.503 0.217 0.087 0.049 0.407 0.732 0.007 <0.001 <0.001 0.019 0.144 0.013 0.255 0.687 0.904 0.176
Chinese * * 0.033 0.022 0.065 0.127 0.521 0.001 <0.001 <0.001 0.002 0.047 0.070 0.091 0.723 0.638 0.012
Indians * * * 0.120 0.007 0.308 0.375 0.029 <0.001 <0.001 0.443 0.606 0.003 0.147 0.041 0.070 0.866
Banjar [3] * * * * 0.300 0.626 0.046 0.862 0.013 <0.001 0.080 0.020 <0.001 0.794 0.050 0.049 0.109
Bugis [3] * * * * * 0.260 0.031 0.116 0.080 <0.001 0.002 0.003 <0.001 0.475 0.077 0.045 0.004
Champa [3] * * * * * * 0.247 0.227 0.002 <0.001 0.063 0.082 <0.001 0.862 0.240 0.257 0.340
Jawa [3] * * * * * * * 0.006 <0.001 <0.001 0.057 0.541 0.089 0.110 0.448 0.603 0.309
Kelantan [3] * * * * * * * * 0.013 <0.001 0.031 0.003 <0.001 0.428 0.002 0.603 0.011
O. K. [4] * * * * * * * * * <0.001 <0.001 <0.001 <0.001 <0.001 0.001 <0.001 <0.001
Batek [4] * * * * * * * * * * <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
Lanoh [4] * * * * * * * * * * * 0.352 <0.001 0.033 0.002 0.003 0.183
Kensiu [4] * * * * * * * * * * * * 0.026 0.030 0.037 0.066 0.323
C.W [4] * * * * * * * * * * * * * <0.001 0.010 0.009 0.001
Semai [4] * * * * * * * * * * * * * * 0.188 0.172 0.136
Malays [6] * * * * * * * * * * * * * * * 0.875 0.006
Chinese [6] * * * * * * * * * * * * * * * * 0.014
Indians [6] * * * * * * * * * * * * * * * * *

Pairs of HPA datasets are considered significantly different if their P<0.05 and are bold.

Data from the present study; reference HPA datasets were obtained from Syafawati, et al. [3], Syafawati, et al. [4], and Tan, et al. [6].

Abbreviations: HPA, human platelet antigen; NA, not applicable; *, no value; O.K, Orang Kanaq; C.W, Che Wong.

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