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Hajar CGN, Md Akhir S, Zefarina Z, Riffin NSM, Tuan Mohammad TH, Hassan MN, Aziz MY, Pati S, Chambers GK, Kari ZA, Edinur HA, Che Mat NF. Distribution of 22 Single Nucleotide Polymorphisms in 13 Cytokine Genes in Malays, Chinese, and Indians in Peninsular Malaysia. Genet Test Mol Biomarkers 2022; 26:449-456. [PMID: 36166739 DOI: 10.1089/gtmb.2022.0107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction: Cytokines are cell signaling glycoproteins that are particularly important in immunity and inflammatory responses. Therefore, variations, such as single nucleotide polymorphisms (SNPs), in genes encoding for cytokines may have important consequences for their roles in health. Materials and Methods: A total of 222 unrelated, healthy, and un-admixed Malays (n = 97), Chinese (n = 77), and Indians (n = 48) with a median age of 30 years old (range 21-50) were typed for 22 cytokine gene SNPs: IL-1α -889 T/C, IL-1β (-511 T/C, +3962 T/C), IL-1R pst1 1970 T/C, IL-1RA mspa1 11100 T/C, IL-4Rα +1902 G/A, IL-12 - 1188 C/A, IFN-γ +874 A/T, TGF-β (cdn 10 C/T, cdn 25 G/C), TNF-α (-308 A/G, -238 A/G) IL-2 (+166 G/T, -330 T/G), IL-4 (-1098 T/G, -590 T/C, -33 T/C), IL-6 (-174 C/G, nt565 G/A), and IL-10 (-1082 G/A, -819 C/T, -592 A/C). This involved using well-established polymerase chain reaction procedures with sequence-specific primers and restriction fragment length polymorphism methods. Results: The majority of the screened cytokine gene SNPs are polymorphic in all three ethnicities. Exceptions include TGF-β cdn 25 (G/C), IL-1β +3962 (T/C), and TNF-α -238 (A/G), which were all observed to be monomorphic in Malays, Chinese and Indians. Many of the analyzed cytokine gene SNP genotypes deviated from Hardy-Weinberg equilibrium and the three ethnic study groups were all well-separated from reference Asian, African and European populations in a principal component analysis plot. Conclusion: We successfully typed 22 SNPs in 13 cytokine genes from genetic material collected from unrelated and un-admixed Malay, Chinese and Indian individuals in Peninsular Malaysia. These new cytokine gene population datasets reveal interesting contrasts with other populations.
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Affiliation(s)
- Che Ghazali Norul Hajar
- Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Suhaida Md Akhir
- Biomedicine Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Zulkafli Zefarina
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | | | - Mohd Nazri Hassan
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Mohd Yusmaidie Aziz
- Integrative Medicine Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | | | | | - Zulhisyam Abdul Kari
- Faculty of Agro Based Industry, Universiti Malaysia Kelantan, Kelantan, Malaysia
| | - Hisham Atan Edinur
- Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Nor Fazila Che Mat
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Biomedicine Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
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Hajar CGN, Zulkafli Z, Md Riffin NS, Tuan Mohammad TH, Safuan S, Nelson BR, Abdullah MT, Chambers GK, Edinur HA. Human neutrophil antigen frequency data for Malays, Chinese and Indians. Transfus Apher Sci 2019; 59:102651. [PMID: 31606336 DOI: 10.1016/j.transci.2019.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 09/27/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Human neutrophil antigens (HNAs) are implicated in several clinical disorders and their allelic variations have been reported for many populations. This new study was aimed to report the genotype and alleles frequencies of HNA-1, -3, -4 and -5 loci in Malays, Chinese and Indians in Peninsular Malaysia. METHODS A total of 222 blood samples were collected from healthy, unrelated Malay, Chinese and Indian individuals. Their HNA-1, -3 and -4 and HNA-5 loci were genotyped using polymerase chain reaction-sequence specific primer (PCR-SSP) or PCR-restriction fragment length polymorphism (RFLP) assays. RESULTS All HNA loci are polymorphic, except for HNA -4. Geneotypes HNA-1a/1b, -3a/3b and -4a/4a were observed most frequently at these three loci in all three ethnic groups. In contrast, HNA-5a/5b and -5a/5a were observed as the predominant genotypes in Malays vs. Chinese and Indians, respectively. The Malays, Chinese and Indians shared HNA -3a (0.505-0.527), HNA -4a (1.000) and -5a (0.676-0.854) as the most frequent alleles. However, HNA-1a was found to be the most common in Malays (0.506) and Chinese (0.504) and HNA-1b for Indians (0.525). CONCLUSION Combined with HNA data that have been published for Malay subethnic and Orang Asli groups, this study provides the first fully comprehensive HNA dataset for populations to be found in Peninsular Malaysia. Overall, our findings provide further evidence of genetic complexity in the region. This now publicly available HNA dataset can be used as a reliable reference source for improving medical outcomes.
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Affiliation(s)
- Che Ghazali Norul Hajar
- School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia; Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Zefarina Zulkafli
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia; School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | | | - Sabreena Safuan
- School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Bryan Raveen Nelson
- Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Terengganu, Malaysia
| | - Mohd Tajuddin Abdullah
- Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Terengganu, Malaysia
| | | | - Hisham Atan Edinur
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia.
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