Analysis of the genetic structure of the Malay population: Ancestry-informative marker SNPs in the Malay of Peninsular Malaysia

2017 ◽  
Vol 30 ◽  
pp. 152-159 ◽  
Author(s):  
Padillah Yahya ◽  
Sarina Sulong ◽  
Azian Harun ◽  
Hatin Wan Isa ◽  
Nur-Shafawati Ab Rajab ◽  
...  
Author(s):  
Nur Fatihah Kamarudin ◽  
Zuraini Ali Shah

Malay in Peninsular Malaysia can be divided into eight sub-ethnics which are Malay Bugis, Malay, Malay Champa, Malay Jawa, Malay Kelantan, Malay Kedah, Malay Minang and Malay Pattani. Ancestry informative marker (AIM) can be used to represent the eight subethnic of Malay population in Peninsular Malaysia. In this research, single nucleotide polymorphism (SNP) datasets of eight sub-ethnics are analyses in order to obtain the AIM for Malays population in Peninsular Malaysia. However, the dataset may have outlier, missing data and redundancy that may impact the accuracy of the result. Pre-processing data is an important step that will remove the entire problem. Iterative pruning principal component analysis (ipPCA) is one of the techniques that usually use in analysis on genome datasets to extract the information. It can be applied on the high structured data and can improve the resolution of the data. It also used for structure a sub-population. Random Forest and Hidden Naïve Bayes is used to classify the SNP that can be used as AIM. Information Gain Ratio will rank the chosen AIM based on the value of each attribute


2021 ◽  
Vol 5 (2) ◽  
pp. 52-61
Author(s):  
Yi-Ting Cheng ◽  
Sharifah-Nany Rahayu-Karmilla Syed-Hassan ◽  
Padillah Yahya ◽  
Azian Harun ◽  
Nazihah Mohd Yunus ◽  
...  

Background: Inference of genetic ancestry is of great interest in many fields and one of the markers in these analyses is ancestry informative marker single nucleotide polymorphisms (AIMSNPs). The Malay population is an ethnic group located mainly in South East Asia and comprises the largest ethnicity in Malaysia. Objectives: To determine Malay ancestry, Yahya et al, 2017 selected 37,487 SNPs from the genotyping data collected by the Malaysian Node of the Human Variome Project and Singapore Genome Variation Project and referenced them against the data from the International HapMap Project Phase 3. The SNPs determined to be informative for ancestry were compiled into AIM-SNP panels, and from these a few SNPs were selected for optimization in preparation for single base extension reaction multiplexing. Methodology: The chosen AIMSNPs were optimized and validated on Malay and non-Malay populations. Genotyping was carried out on participants of self-reported Malay and non-Malay ancestry respectively and the data were compared for Malay and non-Malay population to investigate for significant differences in the genotype between Malay and non-Malay participants. Findings: The results showed great similarities between the Malay and non-Malay population, which may arise from many factors, and further optimization of more SNPs and genotyping is required to definitively conclude the validity of the AIM-SNP panels for Malay population Conclusion: Knowledge of ancestry is important to minimise spurious association. This pilot study gives a brief account of the optimization process and offers an insight into how this may be done in South East Asian populations.


2019 ◽  
Vol 134 (1) ◽  
pp. 123-134
Author(s):  
Padillah Yahya ◽  
Sarina Sulong ◽  
Azian Harun ◽  
Pongsakorn Wangkumhang ◽  
Alisa Wilantho ◽  
...  

2007 ◽  
Vol 68 (1) ◽  
pp. S9
Author(s):  
Loren Gragert ◽  
Martin Maiers ◽  
William Klitz

Author(s):  
Yan Pu ◽  
Peng Chen ◽  
Jing Zhu ◽  
Youjing Jiang ◽  
Qingqing Li ◽  
...  

2016 ◽  
Author(s):  
Nima Khalili Samani ◽  
Yuzine Esa ◽  
Natrah Fatin Mohd Ikhsan ◽  
S.M Nurul Amin

Plotosus canius (Hamilton, 1822) is a significant marine species in Malaysia from nutritional and commercial perspectives. Despite numerous fundamental researches on biological characteristics of P.canius, there are various concerns on the level of population differentiation, genomic structure, and the level of genetic variability among their populations due to deficiency of genetic-based studies. Deficiency on basic contexts such as stock identification, phylogenetic relationship and population genetic structure would negatively impact their sustainable conservation. Hence, this study was conducted to characterize the genetic structure of P.canius for the first time through the application of mitochondrial Cytochrome Oxidase I (COI) gene, cross amplification of Tandanus tandanus microsatellites, and a total of 117 collected specimens across five selected populations of Malaysia. The experimental results of the mitochondrial analysis revealed that the haplotype diversity and nucleotide diversity varied from 0.395 to 0.771 and 0.033 to 0.65 respectively. Moreover, the statistical analysis of microsatellites addressed a considerable heterozygote insufficiency in all populations, with average observed heterozygosity (H0) value of 0.2168, which was lower than the standard heterozygosity in marine populations (H0= 0.79). This alongside the high Fis values estimation, high pairwise differentiation among populations and low within population variations are supposed to be associated with small sample size, and inbreeding system. Besides, the significant finding of this study was the sharing of common haplotype KR086940 at which reflects a historical genetic connectivity between Peninsular Malaysia and Borneo populations due to the geological history of Southeast Asia during Pleistocene era. To put it briefly, the current study has managed to provide an initial genomic database toward understanding of the genetic characterization, phylogenetic, molecular diversification and population structure in P.canius, and should be necessary highlighted for appropriate management and conservation of species. Though, further studies must be carried out involving more geographical and sampling sites, larger population size per site, and utilization of more COI genes and nuclear hypervariable markers.


2017 ◽  
Vol 81 (6) ◽  
pp. 225-233 ◽  
Author(s):  
Fernanda B. Barbosa ◽  
Natalia F. Cagnin ◽  
Milena Simioni ◽  
Allysson A. Farias ◽  
Fábio R. Torres ◽  
...  

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