Literature DB >> 32539307

Human Platelet Antigen Datasets for Malays, Chinese, and Indians in Peninsular Malaysia.

Che Ghazali Norul Hajar1, Zulkafli Zefarina2, Nor Suhaila Md Riffin3, Tuan Hulwani Tuan Mohammad4, Mohd Nazri Hassan2, Ameer Mohamed Dafalla5, Gehad ElGhazali6, Geoffrey Keith Chambers7, Hisham Atan Edinur1.   

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Year:  2020        PMID: 32539307      PMCID: PMC7295964          DOI: 10.3343/alm.2020.40.6.493

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


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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].
Table 1

HPA allele frequency distribution in the present and previous studies

Population(N)1a1b2a2b3a3b4a4b5a5b6a6b15a15b
Malays (present study)970.9850.0150.9690.0310.5100.4901.0000.0000.9900.0100.9900.0100.4790.521
Chinese (present study)771.0000.0000.9800.0200.5910.4101.0000.0000.9870.0130.9940.0060.5260.474
Indians (present study)470.9790.0210.9690.0310.5210.4791.0000.0000.9590.0410.9900.0100.3750.625
Banjar [3]301.0000.0000.9500.0500.6160.3840.9500.0500.9500.0500.9800.0200.4800.520
Bugis [3]371.0000.0001.0000.0000.5540.4461.0000.0000.9500.0500.9100.0900.6200.380
Champa [3]510.9800.0200.9700.0300.6770.3231.0000.0000.9900.0100.9800.0900.4800.520
Jawa [3]391.0000.0001.0000.0000.6280.3721.0000.0000.9600.0401.0000.0000.4500.550
Kelantan [3]351.0000.0000.9400.0600.5710.4291.0000.0001.0000.0000.9900.0100.4900.510
Orang Kanaq [4]111.0000.0001.0000.0000.8180.1821.0000.0001.0000.0001.0000.0000.9090.091
Batek [4]271.0000.0001.0000.0000.5000.5001.0000.0000.8520.1481.0000.0000.0001.000
Lanoh [4]251.0000.0001.0000.0000.6400.3601.0000.0001.0000.0001.0000.0000.2600.740
Kensiu [4]360.9580.0421.0000.0000.8750.1251.0000.0000.8470.1531.0000.0000.3610.639
Che Wong [4]261.0000.0001.0000.0000.4230.5771.0000.0000.7880.2121.0000.0000.5000.500
Semai [4]400.9880.0121.0000.0000.6710.3291.0000.0000.8900.1101.0000.0000.5240.476
Malays [6]2000.9750.0250.9630.0370.5030.4970.9950.0050.9500.0500.9930.0070.5150.485
Chinese [6]2001.0000.0000.9670.0330.5730.4270.9980.0020.9830.0170.9830.0170.4980.502
Indians [6]2000.8850.1150.9600.0400.6200.3800.9950.0050.9400.0600.9950.0050.4080.592
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.
Table 2A

Homogeneity between pairs of population groups in Peninsular Malaysia

HPA-1

MalaysChineseIndiansBanjar [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*0.257NANA0.558NA0.5570.568NANANA0.340NANANANA<0.000
Chinese0.088*0.145NANA0.158NANANANANA0.032NA0.344NANA<0.000
Indians1.0000.294*0.5200.501NA0.4990.507NA0.5340.5440.6500.538NANANA0.004
Banjar [3]0.4410.0630.669*NA0.530NANANANANA0.241NANANANA0.003
Bugis [3]0.1841.0000.2540.085*0.508NANANANANA0.114NANANANA<0.000
Champa [3]0.2091.0000.3490.1931.000*0.5040.516NA0.539NA0.6450.545NANANA0.003
Jawa [3]0.1831.0000.2490.076NA1.000*NANANANA0.108NANANANA0.001
Kelantan [3]0.4530.0340.4501.0000.0520.1600.046*NANANA0.239NANANANA<0.000
O. K. [4]1.0001.0001.0000.551NA1.000NA0.557*NANANANANANANA0.162
Batek [4]0.3401.0000.5460.239NA1.000NA0.127NA*NA0.252NANANANA0.004
Lanoh [4]0.3431.0000.5450.241NA1.000NA0.135NANA*0.263NANANANA0.008
Kensiu [4]0.1901.0000.2550.088NA1.000NA0.052NANANA*NANANANA0.159
C.W [4]0.3381.0000.2550.242NA1.000NA0.131NANANANA*NANANA0.005
Semai [4]0.1781.0000.2490.076NA1.000NA0.043NANANANANA*NANA0.004
Malays [6]0.8120.0351.0000.713NA0.079NA0.4980.6230.2230.3860.1390.2300.086*NA<0.000
Chinese [6]0.8570.2000.7820.4920.3430.2720.3520.3600.7050.4390.6600.6620.3500.5430.857*<0.000
Indians [6]1.0000.1061.0000.5420.2690.1960.2800.4260.6410.4590.4380.2710.4590.2771.0000.836*
HPA-2
Table 2B
HPA-3

MalaysChineseIndiansBanjar [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*0.1320.2510.186<0.0010.0020.1160.6000.0160.8710.038<0.0010.4190.0160.7110.1900.018
ChineseNA*0.5220.960<0.0010.2630.8990.8910.1920.1930.467<0.0010.0480.3760.1360.8720.784
IndiansNANA*0.5840.0190.1300.4020.5260.0600.2360.381<0.0010.1390.3760.4340.3880.297
Banjar [3]0.0130.0190.075*0.0140.6381.0000.8040.3320.2060.7220.0030.0630.6750.2390.7610.297
Bugis [3]NANANA0.085*0.0250.0060.0010.016<0.0010.160<0.001<0.0010.002<0.001<0.0010.955
Champa [3]NANANA0.047NA*0.6020.1860.5720.0140.9000.0120.0030.5900.0010.0600.009
Jawa [3]NANANA0.077NANA*0.7000.3460.150.6610.0020.0380.7430.1050.6580.099
Kelantan [3]NANANA0.095NANANA*0.1050.6050.337<0.0010.1720.3480.5540.9690.964
O. K. [4]NANANA0.551NANANANA*0.0250.3730.4670.0030.6720.0080.1010.694
Batek [4]NANANA0.238NANANANANA*0.050<0.0010.6670.0480.6300.2800.216
Lanoh [4]NANANA0.240NANANANANANA*0.0090.0150.4480.0560.2570.279
Kensiu [4]NANANA0.089NANANANANANANA*<0.0010.020<0.001<0.001<0.001
C.W [4]NANANA0.242NANANANANANANANA*0.0060.3410.0690.009
Semai [4]NANANA0.073NANANANANANANANANA*0.0080.1840.523
Malays [6]NANANA0.002NANANANANANANANANANA*0.1270.009
Chinese [6]NANANANANANANANANANANANANANA0.368*0.396
Indians [6]NANANANANANANANANANANANANANA0.368*
HPA-4
Table 2C
HPA-5

MalaysChineseIndiansBanjar [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*1.0000.0931.0000.0491.0000.1421.0001.000<0.001<0.0011.000<0.0011.0000.7230.7230.008
Chinese1.000*0.2001.0000.0881.0000.3331.0001.000<0.001<0.0011.000<0.0010.5461.0001.0000.038
Indians1.0001.000*0.1540.7230.1931.0000.1341.0000.0230.0100.2920.0030.1250.2330.2290.834
Banjar [3]0.5560.4841.000*0.1221.0000.254NANA0.001<0.001NA<0.001NA0.5960.5980.203
Bugis [3]0.0010.0010.0180.068*0.1580.7090.1160.5590.0990.0450.1400.0120.0490.0710.0711.000
Champa [3]1.0001.0001.0001.0000.009*0.3181.0001.000<0.001<0.0011.000<0.0011.0001.0001.0000.098
Jawa [3]0.1430.1090.3210.6280.1900.312*0.2411.0000.0420.0180.2710.0040.1150.2140.2120.813
Kelantan [3]1.0001.0001.0000.4590.0111.0000.240*NA<0.001<0.001NA<0.001NA0.5970.5950.093
O. K. [4]1.0001.0001.0001.0000.1771.0001.000NA*0.074NA0.0460.018NA1.0001.0000.635
Batek [4]1.0001.0001.0001.0000.0161.0000.267NANA*0.0041.0000.568<0.001<0.001<0.0000.028
Lanoh [4]1.0001.0001.0001.0000.0361.0000.275NANANA*0.001<0.001NA1.0001.0000.242
Kensiu [4]1.0001.0001.0000.4550.0101.0000.241NANANANA*0.589<0.001<0.001<0.0000.013
C.W [4]1.0001.0001.0001.0000.0351.0000.265NANANANANA*<0.001<0.001<0.0000.002
Semai [4]1.0001.0001.0000.4280.0041.0000.113NANANANANANA*0.6040.6010.295
Malays [6]0.7220.4481.0001.0000.0021.0000.211NANANANANANANA*1.0000.003
Chinese [6]0.7240.4501.0001.0000.0021.0000.210NANANANANANANA1.000*0.003
Indians [6]0.6021.0000.4740.344<0.0010.4920.032NANANANANANANA0.1690.175*
HPA-6
Table 2D
HPA-15

MalaysChineseIndiansBanjar [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*0.5030.2170.0870.0490.4070.7320.007<0.001<0.0010.0190.1440.0130.2550.6870.9040.176
Chinese**0.0330.0220.0650.1270.5210.001<0.001<0.0010.0020.0470.0700.0910.7230.6380.012
Indians***0.1200.0070.3080.3750.029<0.001<0.0010.4430.6060.0030.1470.0410.0700.866
Banjar [3]****0.3000.6260.0460.8620.013<0.0010.0800.020<0.0010.7940.0500.0490.109
Bugis [3]*****0.2600.0310.1160.080<0.0010.0020.003<0.0010.4750.0770.0450.004
Champa [3]******0.2470.2270.002<0.0010.0630.082<0.0010.8620.2400.2570.340
Jawa [3]*******0.006<0.001<0.0010.0570.5410.0890.1100.4480.6030.309
Kelantan [3]********0.013<0.0010.0310.003<0.0010.4280.0020.6030.011
O. K. [4]*********<0.001<0.001<0.001<0.001<0.0010.001<0.001<0.001
Batek [4]**********<0.001<0.001<0.001<0.001<0.001<0.001<0.001
Lanoh [4]***********0.352<0.0010.0330.0020.0030.183
Kensiu [4]************0.0260.0300.0370.0660.323
C.W [4]*************<0.0010.0100.0090.001
Semai [4]**************0.1880.1720.136
Malays [6]***************0.8750.006
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.

  9 in total

1.  Human platelet antigen allelic diversity in Peninsular Malaysia.

Authors:  Wan Ubaidillah W Syafawati; Zulkafli Zefarina; Zafarina Zafarina; Mohd Nazri Hassan; Mohd Nor Norazmi; Sundararajulu Panneerchelvam; Geoffrey K Chambers; Hisham Atan Edinur
Journal:  Immunohematology       Date:  2016-12

Review 2.  The genetic history of Peninsular Malaysia.

Authors:  Hanim Kamis Norhalifah; Fatnin Hisham Syaza; Geoffrey Keith Chambers; Hisham Atan Edinur
Journal:  Gene       Date:  2016-04-07       Impact factor: 3.688

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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

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Authors:  W U Wan Syafawati; H K Norhalifah; Z Zefarina; Z Zafarina; S Panneerchelvam; M N Norazmi; G K Chambers; H A Edinur
Journal:  Transfus Med       Date:  2015-07-01       Impact factor: 2.019

6.  Human platelet antigens frequencies in Maori and Polynesian populations.

Authors:  H A Edinur; P P J Dunn; R A Lea; G K Chambers
Journal:  Transfus Med       Date:  2013-07-10       Impact factor: 2.019

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Authors:  Laurent Excoffier; Guillaume Laval; Stefan Schneider
Journal:  Evol Bioinform Online       Date:  2007-02-23       Impact factor: 1.625

8.  IPD--the Immuno Polymorphism Database.

Authors:  James Robinson; Kavita Mistry; Hamish McWilliam; Rodrigo Lopez; Steven G E Marsh
Journal:  Nucleic Acids Res       Date:  2009-10-29       Impact factor: 16.971

Review 9.  Transfusion Medicine and Molecular Genetic Methods.

Authors:  Rozieyati Mohamed Saleh; Zulkafli Zefarina; Nor Fazila Che Mat; Geoffrey Keith Chambers; Hisham Atan Edinur
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