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Zeye MMJ, Ouedraogo SY, Bado P, Zoure AA, Djigma FW, Wu X, Simpore J. Forensic autosomal and gonosomal short tandem repeat marker reference database for populations in Burkina Faso. Sci Rep 2024; 14:7369. [PMID: 38548827 PMCID: PMC10979005 DOI: 10.1038/s41598-024-58179-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/26/2024] [Indexed: 04/01/2024] Open
Abstract
Tandem repeat genetic profiles used in forensic applications varies between populations. Despite the diversity and security issues in the Sahel that require the identification of victims (soldiers and civilians), Burkina Faso (BF) remains understudied. To fill this information gap, 396 unrelated individuals from BF were genotyped using a MICROREADER 21 ID System kit. All 20 short tandem repeat (STR) loci tested passed the Hardy-Weinberg equilibrium (HWE) test. The combined powers of exclusion for duos (CPE duos) and trios (CPE trios) for the 20 tested loci were 0.9999998 and 0.9999307, respectively. The probability that two individuals would share the same DNA profiles among the BF population was 9.80898 × 10-26. For the X-chromosome STR analysis, 292 individuals were included in this study using a MICROREADER 19X Direct ID System kit. Among the 19 loci, no significant deviations from HWE test were observed in female samples after Bonferroni correction (p < 0.05/19 = 0.0026), except for loci GATA165B12 and DXS7423. The results showed that the combined power of exclusion (CPE) and the combined power of discrimination in females (CPDF) and males (CPDM) were 0.999999760893, 0.999999999992, and 1, respectively. Comparison with other African sub-populations showed that geographical proximity is a reliable indicator of genetic relatedness.
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Affiliation(s)
- Moutanou Modeste Judes Zeye
- Department of Medical Parasitology, School of Basic Medical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, 410013, Hunan, People's Republic of China
- Laboratory of Molecular Biology and Genetics (LMBG) (Labiogene), University Joseph KI-ZERBO, CERBA/LABIOGENE, 01, BP 364, Ouagadougou 01, Burkina Faso
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Serge Yannick Ouedraogo
- Department of Oncology, School of Clinical Medicine, Shandong Cancer Hospital, Shandong First Medical University, Shandong Academy of Medical Sciences, 6699 Qingdao Road, Huaiyin District, Jinan, 250000, Shandong, People's Republic of China
- Laboratory of Molecular Biology and Genetics (LMBG) (Labiogene), University Joseph KI-ZERBO, CERBA/LABIOGENE, 01, BP 364, Ouagadougou 01, Burkina Faso
| | - Prosper Bado
- Laboratory of Molecular Biology and Genetics (LMBG) (Labiogene), University Joseph KI-ZERBO, CERBA/LABIOGENE, 01, BP 364, Ouagadougou 01, Burkina Faso
| | - Abdou Azaque Zoure
- Department of Biomedical and Public Health, Research Institute of Health Sciences (IRSS/CNRST), 03 BP 7192, Ouagadougou 01, Burkina Faso
| | - Florencia W Djigma
- Laboratory of Molecular Biology and Genetics (LMBG) (Labiogene), University Joseph KI-ZERBO, CERBA/LABIOGENE, 01, BP 364, Ouagadougou 01, Burkina Faso
| | - Xiang Wu
- Department of Medical Parasitology, School of Basic Medical Sciences, Central South University, No. 172, Tongzipo Road, Changsha, 410013, Hunan, People's Republic of China.
| | - Jacques Simpore
- Laboratory of Molecular Biology and Genetics (LMBG) (Labiogene), University Joseph KI-ZERBO, CERBA/LABIOGENE, 01, BP 364, Ouagadougou 01, Burkina Faso.
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Sampaio B, Dos Santos Silva AM, de Sá Paiva Leitão Júnior S, de Souza Liberal AT, da Cruz HLA, de Queiroz Balbino V. Allelic frequencies distribution and forensic parameters of 23 autosomal short tandem repeats in the population of the State of Pernambuco, Brazil. Leg Med (Tokyo) 2022; 59:102112. [PMID: 35839577 DOI: 10.1016/j.legalmed.2022.102112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/30/2022] [Accepted: 07/01/2022] [Indexed: 10/31/2022]
Abstract
Located in the Northeast Region, the Pernambuco State is one of the 27 federative units of Brazil. Here, we determined populational data for 23 short tandem repeat (STR) markers - CSF1PO, FGA, TH01, TPOX, vWA, D1S1656, D2S1338, D2S441, D3S1358, D5S818, D7S820, D8S1179, D10S1248, D12S391, D13S317, D16S539, D18S51, D19S433, D21S11, D22S1045, PENTA D, PENTA E and SE33 - of the Pernambuco population. The sample consisted of 767 healthy, adult, unrelated individuals (437 males, 330 females) born and resident in the State of Pernambuco. STRs were amplified using three multiplex kits, according to the availability: PowerPlex® Fusion 6C System (Promega Corporation), PowerPlex® Fusion System (Promega Corporation) and GlobalFiler™ Express (Thermo Fisher Scientific). Allelic frequencies, forensic parameters and Hardy-Weinberg equilibrium determinations were estimated for all the 23 loci. No deviations from the Hardy-Weinberg equilibrium were observed for any of the markers, after Bonferroni correction. We observed that the most and less informative markers were SE33 and TPOX, respectively. The combined power of discrimination (CPD) was 0.99999999999999999999999999999, and the combined power of exclusion (CPE) was 0.99999999997. The cumulative typical paternity index was 37,919,301,869.3021. Interpopulation analyses (Nei's genetic distance) based on the expanded CODIS core loci was performed between the Pernambuco sample and other global populations. Pernambuco was the closest Brazilian population to African group and stayed distant from the Native American group. This work contributed to show that a panel of 23 autosomal STR loci is very informative, being able for forensic applications related in this population.
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Affiliation(s)
- Bruno Sampaio
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil.
| | - Abigail Marcelino Dos Santos Silva
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Sérgio de Sá Paiva Leitão Júnior
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Anna Theresa de Souza Liberal
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Heidi Lacerda Alves da Cruz
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
| | - Valdir de Queiroz Balbino
- Laboratory of Bioinformatics and Evolutionary Biology, Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco (PE), Brazil
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Melo G, Uscanga K, Mauro LA, David AV, Pablo HR, Héctor RV, Aquino P, Meza, Jiménez C, Denis P, Nayali LB. Use of Investigator 24plex GO! to analyse allele frequencies of 21 autosomal STRs in the population of Veracruz state, Mexico. Ann Hum Biol 2022; 49:164-169. [PMID: 35380906 DOI: 10.1080/03014460.2022.2062050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BackgroundMexican population databases for autosomal STRs are scarce, and no previous studies have been performed with the Qiagen Investigator 24plex GO! Aim: To analyse the frequency of 21 autosomal short tandem repeat (STR) loci and forensic parameters in individuals from Veracruz state, Mexico. Subjects and methods: A total of 234 unrelated individuals were analysed with the Investigator 24plex GO! Kit, which includes the following autosomal STRs: TH01, D3S1358, vWA, D21S11, TPOX, D1S1656, D12S391, SE33, D10S1248, D22S1045, D19S433, D8S133879, D2S1338, D2S441, D18S51, FGA, D16S539, CSF1PO, D13S317, D5S818, and D7S820. Allele frequencies, forensic parameters, and relationships with neighbouring Mexican populations were estimated. Results: The STRs analysed were in Hardy-Weinberg Equilibrium (HWE). The combined matching probability and combined PE were 1.5266 E-24 and 0.999999988711, respectively. The D18S51 and SE33 loci presented the highest Ho (0.8974 and 0.8932) and PE (0.7902 and 0.7815), respectively. The highest PIC (0.9337) and PD (0.9894) values corresponded to SE33. Conversely, D22S1045 had the lowest PIC and PE (0.5533 y 0.3546, respectively). A population cluster among southern Mexican populations, which included non-differentiation between Guerrero and Veracruz states was detected. Conclusion: The forensic efficacy of the 21 STRs analysed by the Investigator 24plex GO! Kit was evaluated in the Veracruz state. Moreover, new population clusters that have not been yet been described and are related to geographic regions were identified, and these are in agreement with previously reported ancestral differences.
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Affiliation(s)
- Guadalupe Melo
- UV-GC-212 "Ciencias Forenses" Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, México
| | - Keren Uscanga
- Maestría en Medicina Forense, Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, México
| | - López-Armenta Mauro
- Laboratorio de Genética, Instituto de Servicios Periciales y Ciencias Forenses del Poder Judicial de la CDMX, Ciudad de México, Mexico
| | - Avilés-Villada David
- Posgrado en Ciencias Biológicas. Universidad Nacional Autónoma de México. Ciudad de México, Mexico
| | - Hernández-Romano Pablo
- Centro Estatal de la Transfusión Sanguínea del Estado de Veracruz, Veracruz, México.,Laboratorio de Genética, Hospital de Alta Especialidad de Veracruz, Veracruz, México
| | - Rangel-Villalobos Héctor
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCiénega-UdeG), Ocotlán, Jalisco, México
| | - P Aquino
- Facultad de Medicina, Universidad Veracruzana, Veracruz, México
| | - Meza
- Facultad de Medicina, Universidad Veracruzana, Veracruz, México
| | - Carlos Jiménez
- UV-GC-212 "Ciencias Forenses" Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, México
| | - Patricia Denis
- UV-GC-212 "Ciencias Forenses" Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, México
| | - López-Balderas Nayali
- UV-GC-212 "Ciencias Forenses" Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, México
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Laurent FX, Fischer A, Oldt RF, Kanthaswamy S, Buckleton JS, Hitchin S. Streamlining the decision-making process for international DNA kinship matching using Worldwide allele frequencies and tailored cutoff log 10LR thresholds. Forensic Sci Int Genet 2021; 57:102634. [PMID: 34871915 DOI: 10.1016/j.fsigen.2021.102634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 10/13/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022]
Abstract
The identification of human remains belonging to missing persons is one of the main challenges for forensic genetics. Although other means of identification can be applied to missing person investigations, DNA is often extremely valuable to further support or refute potential associations. When reference DNA samples cannot be collected from personal items belonging to a missing person, a direct DNA identification cannot be carried out. However, identifications can be made indirectly using DNA from the missing person's relatives. The ranking of likelihood ratio (LR) values, which measure the fit of a missing person for any given pedigree, is often the first step in selecting candidates in a DNA database. Although implementing DNA kinship matching in a national environment is feasible, many challenges need to be resolved before applying this method to an international configuration. In this study, we present an innovative and intuitive method to perform international DNA kinship matching and facilitate the comparison of DNA profiles when the ancestry is unknown or unsure and/or when different marker sets are used. This straightforward method, which is based on calculations performed with the DNA matching software BONAPARTE, Worldwide allele frequencies and tailored cutoff log10LR thresholds, allows for the classification of potential candidates according to the strength of the DNA evidence and the predicted proportion of adventitious matches. This is a powerful method for streamlining the decision-making process in missing person investigations and DVI processes, especially when there are low numbers of overlapping typed STRs. Intuitive interpretation tables and a decision tree will help strengthen international data comparison for the identification of reported missing individuals discovered outside their national borders.
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Affiliation(s)
- François-Xavier Laurent
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France.
| | - Andrea Fischer
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France; Landeskriminalamt Baden-Württemberg, Taubenheimstr. 85, 70372 Stuttgart, Germany
| | - Robert F Oldt
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - Sree Kanthaswamy
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - John S Buckleton
- University of Auckland, Department of Statistics, Private Bag, 92019 Auckland, New Zealand
| | - Susan Hitchin
- International Criminal Police Organization - INTERPOL, DNA Unit, 200 quai Charles de Gaulle, 69006 Lyon, France.
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Ghiani ME, Mameli A, Vecchio C, Francalacci P, Robledo R, Calò CM. Estimating population genetics and forensic efficiency of the GlobalFiler PCR amplification kit in the population of Sardinia (Italy). Gene 2021; 794:145775. [PMID: 34126198 DOI: 10.1016/j.gene.2021.145775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/16/2021] [Accepted: 06/09/2021] [Indexed: 10/21/2022]
Abstract
GlobalFiler is a new PCR amplification kit that includes 21 autosomal short tandem repeats and three sex-determining loci. In the present research, for the first time, the GlobalFiler kit was tested to analyze a sample of 500 unrelated individuals from 18 villages encompassing the entire area of Sardinia (Italy). We tested if the kit, which is a powerful tool in forensic studies, may also find application in the field of population genetics. In agreement with data from the literature on forensic parameters values, marker SE33 showed the highest degree of polymorphism, whereas TPOX was the least informative locus. Seventeen out of twenty-one autosomal markers included in the kit resulted highly polymorphic, and therefore Globalfiler turned out to be highly useful for forensic analysis in the Sardinian population. Moreover, our data suggest developing different STR databases in different populations, like Sardinians, to increase the statistical power of autosomal STR profiling. On the other hand, due to the presence of some very highly polymorphic markers, the efficiency of Globalfiler in detecting geographical variability is affected. Indeed, the differentiation previously observed between the Sardinian and Italian populations appeared greatly reduced and even the presence of genetic isolates, previously recorded when uniparental markers was not revealed.
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Affiliation(s)
- Maria Elena Ghiani
- Reparto Investigazioni Scientifiche Carabinieri di Cagliari, 09100 Cagliari, Italy
| | - Alessandro Mameli
- Reparto Investigazioni Scientifiche Carabinieri di Cagliari, 09100 Cagliari, Italy
| | - Cesare Vecchio
- Reparto Investigazioni Scientifiche Carabinieri di Cagliari, 09100 Cagliari, Italy
| | - Paolo Francalacci
- Dept. of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato (Ca), Italy
| | - Renato Robledo
- Dept. of Biomedical Sciences, University of Cagliari, 09042 Monserrato (Ca), Italy.
| | - Carla Maria Calò
- Dept. of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato (Ca), Italy
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Li W, Wang X, Wang X, Wang F, Du Z, Fu F, Wu W, Wang S, Mu Z, Chen C, Hu X, Ding J, Meng Y, Qiu P, Fan H. Forensic characteristics and phylogenetic analyses of one branch of Tai-Kadai language-speaking Hainan Hlai (Ha Hlai) via 23 autosomal STRs included in the Huaxia ™ Platinum System. Mol Genet Genomic Med 2020; 8:e1462. [PMID: 32862500 PMCID: PMC7549582 DOI: 10.1002/mgg3.1462] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/20/2020] [Accepted: 08/04/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Hainan Island, located in the South China Sea and separated from the Leizhou Peninsula by Qiongzhou Strait, is the second largest island after Taiwan in China. With the expansion of Han Chinese and the gradual formation of "South Hlai and North Han", nowadays, Hainan Hlai is the second largest population after Han Chinese in Hainan Island. Ha Hlai, distributed in southwest and southern Hainan Island, is the dominant branch of Hlai and speaks Ha localism. METHODS We utilized the Huaxia™ Platinum PCR Amplification System (including 23 autosomal STRs and 2 sex-linked markers) to obtain the first STR profiling batch of 657 Ha Hlai individuals (497 males and 160 females). In order to explore the genetic relationships between the studied Ha Hlai and other reference populations with different language families, population genetic analyses, including PCA, MDS, STRUCTURE, and phylogenetic analysis, were conducted based upon the raw data and allelic frequencies of the polymorphic autosomal STR markers. RESULTS In total, 271 distinct alleles were observed at the 23 STR loci. The number of diverse alleles ranged from 7 at TPOX locus to 23 at FGA locus, and the allelic frequencies varied from 0.0008 to 0.5533. In addition, the CPE and CPD were 1-7.39 × 10-10 and 1-3.13 × 10-28 , respectively. The phylogenetic analyses indicated that Ha Hlai is a Tai-Kadai language-speaking and relatively isolated population which has a close genetic and geographical relationship with Hainan Hlai, and M95 is the dominant haplogroup in Ha Hlai (56.18%). CONCLUSION The 23 autosomal STR genetic markers were highly polymorphic as well as potentially useful for forensic applications in Hainan Ha Hlai population. The phylogenetic analyses demonstrated that small geographic scale gene flows could not be ignored and the shaping of the unique gene pool for each population was the combination effects of geographic, language, and cultural isolations.
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Affiliation(s)
- Wenhui Li
- School of Basic Medicine and Life ScienceHainan Medical UniversityHaikouChina
- Forensic Science Center of Hainan Medical UniversityHainan Medical UniversityHaikouChina
| | - Xianwen Wang
- Criminal Technical DetachmentHaikou City Public Security BureauHaikouChina
| | - Xiehong Wang
- Criminal Technical DetachmentHaikou City Public Security BureauHaikouChina
| | - Fenfen Wang
- First Clinical Medical CollegeHainan Medical UniversityHaikouChina
| | - Zhengming Du
- First Clinical Medical CollegeHainan Medical UniversityHaikouChina
| | - Fangshu Fu
- School of Biomedical Information and EngineeringHainan Medical UniversityHaikouChina
| | - Wenlong Wu
- First Clinical Medical CollegeHainan Medical UniversityHaikouChina
| | - Shuya Wang
- School of Public HealthHainan Medical UniversityHaikouChina
| | - Ziqing Mu
- School of ManagementHainan Medical UniversityHaikouChina
| | - Chunwei Chen
- Public Security and Judicial Appraisal Center of Sanya CitySanyaChina
| | - Xiaomin Hu
- Hainan Zhujian Center for Molecular Cytogenetic Clinical TestingHaikouChina
| | - Jiuyang Ding
- School of Forensic MedicineGuizhou Medical UniversityGuiyangChina
| | - Yunle Meng
- School of Forensic MedicineSouthern Medical UniversityGuangzhouChina
| | - Pingming Qiu
- School of Forensic MedicineSouthern Medical UniversityGuangzhouChina
- Multi‐Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic MedicineSouthern Medical UniversityGuangzhouChina
| | - Haoliang Fan
- School of Basic Medicine and Life ScienceHainan Medical UniversityHaikouChina
- Forensic Science Center of Hainan Medical UniversityHainan Medical UniversityHaikouChina
- School of Forensic MedicineSouthern Medical UniversityGuangzhouChina
- Multi‐Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic MedicineSouthern Medical UniversityGuangzhouChina
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Kofi AE, Hakim HM, Khan HO, Ismail SA, Ghansah A, Haslindawaty ARN, Shamsuddin S, Aziz MY, Chambers GK, Edinur HA. Population dataset for 21 simple tandem repeat loci in the Akan population of Ghana. Data Brief 2020; 31:105746. [PMID: 32490095 PMCID: PMC7262416 DOI: 10.1016/j.dib.2020.105746] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/12/2020] [Accepted: 05/15/2020] [Indexed: 11/29/2022] Open
Abstract
Short tandem repeat (STR) loci are widely used as genetic marker for ancestral and forensic analyses. The latter application includes for paternity testing and DNA profiling of samples collected from scenes of crime and suspects. This survey provides the first dataset for 21 STR loci across the Akan population in Ghana by genotyping of 109 unrelated healthy individuals using Investigator 24plex kit. None of the STR loci screened deviated from Hardy-Weinberg equilibrium after applying Bonferroni correction. Overall, 224 unique alleles were observed with allele frequencies ranging from 0.005 to 0.518. The combined match probability, combined power of exclusion and combined power discrimination were 1 in 4.07 × 10−25, 0.999999999 and 1, respectively. Principal coordinate analysis carried out using 21 STR allele frequency data mapped the Akans with Nigerian subpopulation groups (Hausa, Igbo and Yoruba), but separated from Thais of Thailand, Chechen of Jordan and Tijuana of Mexico.
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Affiliation(s)
- Abban Edward Kofi
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.,Forensic Science Laboratory, Criminal Investigation Department, Ghana Police Service 233 Accra Ghana
| | - Hashom Mohd Hakim
- DNA Databank Division (D13), Criminal Investigation Department, Royal Malaysia Police, 50560, Bukit Aman, Kuala Lumpur, Malaysia
| | - Hussein Omar Khan
- DNA Databank Division (D13), Criminal Investigation Department, Royal Malaysia Police, 50560, Bukit Aman, Kuala Lumpur, Malaysia
| | - Siti Afifah Ismail
- DNA Databank Division (D13), Criminal Investigation Department, Royal Malaysia Police, 50560, Bukit Aman, Kuala Lumpur, Malaysia
| | - Anita Ghansah
- Nugochi Memorial Institute of Medical Research, University of Ghana, 233 Accra, Ghana
| | - Abd Rashid Nur Haslindawaty
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Shaharum Shamsuddin
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Mohd Yusmaidie Aziz
- Integrative Medicine Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, 13200 Bertam, Kepala Batas, Penang, Malaysia
| | - Geoffrey Keith Chambers
- School of Biological Sciences, Victoria University of Wellington, P.O. Box 600, Wellington, 6140, New Zealand
| | - Hisham Atan Edinur
- School of Health Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.,Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.,Environmental Futures Research Institute, Griffith University, Nathan, Queensland 4111, Australia
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