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Khoruddin NA, Lim WF, Teh LK, Noorizhab MNF, Mohd Yusof FZ, Salleh MZ. Toward precision nutrition: A cross‐sectional study on the genetic risks of nutrients deficiencies and eating behaviors among the Orang Asli and Malays. Precision Medical Sciences 2022. [DOI: 10.1002/prm2.12081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Nurul Ain Khoruddin
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
- Faculty of Applied Sciences Universiti Teknologi MARA (UiTM) Selangor Shah Alam Malaysia
| | - Wai Feng Lim
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
| | - Lay Kek Teh
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
- Faculty of Pharmacy Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
| | - Mohd Nur Fakhruzzaman Noorizhab
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
- Faculty of Pharmacy Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
| | - Farida Zuraina Mohd Yusof
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
- Faculty of Applied Sciences Universiti Teknologi MARA (UiTM) Selangor Shah Alam Malaysia
| | - Mohd Zaki Salleh
- Integrative Pharmacogenomics Institute (iPROMISE) Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
- Faculty of Pharmacy Universiti Teknologi MARA (UiTM) Selangor Bandar Puncak Alam Malaysia
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Khoruddin NA, Noorizhab MN, Teh LK, Mohd Yusof FZ, Salleh MZ. Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays. Sci Rep 2021; 11:16158. [PMID: 34373545 PMCID: PMC8352870 DOI: 10.1038/s41598-021-95618-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 07/26/2021] [Indexed: 02/07/2023] Open
Abstract
Single-nucleotide polymorphisms (SNPs) are the most common genetic variations for various complex human diseases, including cancers. Genome-wide association studies (GWAS) have identified numerous SNPs that increase cancer risks, such as breast cancer, colorectal cancer, and leukemia. These SNPs were cataloged for scientific use. However, GWAS are often conducted on certain populations in which the Orang Asli and Malays were not included. Therefore, we have developed a bioinformatic pipeline to mine the whole-genome sequence databases of the Orang Asli and Malays to determine the presence of pathogenic SNPs that might increase the risks of cancers among them. Five different in silico tools, SIFT, PROVEAN, Poly-Phen-2, Condel, and PANTHER, were used to predict and assess the functional impacts of the SNPs. Out of the 80 cancer-related nsSNPs from the GWAS dataset, 52 nsSNPs were found among the Orang Asli and Malays. They were further analyzed using the bioinformatic pipeline to identify the pathogenic variants. Three nsSNPs; rs1126809 (TYR), rs10936600 (LRRC34), and rs757978 (FARP2), were found as the most damaging cancer pathogenic variants. These mutations alter the protein interface and change the allosteric sites of the respective proteins. As TYR, LRRC34, and FARP2 genes play important roles in numerous cellular processes such as cell proliferation, differentiation, growth, and cell survival; therefore, any impairment on the protein function could be involved in the development of cancer. rs1126809, rs10936600, and rs757978 are the important pathogenic variants that increase the risks of cancers among the Orang Asli and Malays. The roles and impacts of these variants in cancers will require further investigations using in vitro cancer models.
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Affiliation(s)
- Nurul Ain Khoruddin
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
- Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Shah Alam Campus, Selangor, Malaysia
| | - Mohd NurFakhruzzaman Noorizhab
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
- Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
| | - Lay Kek Teh
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
- Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
| | - Farida Zuraina Mohd Yusof
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
- Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Shah Alam Campus, Selangor, Malaysia
| | - Mohd Zaki Salleh
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia.
- Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Selangor Branch, Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia.
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Syed Mohamad SF, Ibrahim SF, Ismail NH, Osman K, Jaafar FHF, Chew FN, Mohd Yusof FZ. Quantification of HSP70 Gene Expression and Determination of Capacitation Status of Magnetically Separated Cryopreserved Bovine Spermatozoa at Different Thawing Temperature and Time. SAINS MALAYS 2018. [DOI: 10.17576/jsm-2018-4706-04] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Mohd Yussup SS, Marzukhi M, Md-Zain BM, Mamat K, Mohd Yusof FZ. Polymorphism of 11 Y Chromosome Short Tandem Repeat Markers among Malaysian Aborigines. Evol Bioinform Online 2017; 13:1176934317735318. [PMID: 29085238 PMCID: PMC5648092 DOI: 10.1177/1176934317735318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 08/23/2017] [Indexed: 12/02/2022] Open
Abstract
The conventional technique such as patrilocality suggests some substantial effects on population diversity. With that, this particular study investigated the paternal line, specifically Scientific Working Group on DNA Analysis Methods (SWGDAM)-recommended Y-STR markers, namely, DYS19, DYS385, DYS389I/II, DYS390, DYS391, DYS392, DYS393, DYS438, and DYS439. These markers were tested to compare 184 Orang Asli individuals from 3 tribes found in Peninsular Malaysia. As a result, the haplotype diversity and the discrimination capacity obtained were 0.9987 and 0.9076, respectively. Besides, the most diverse marker was DYS385b, whereas the least was DYS391. Furthermore, the Senoi and Proto-Malay tribes were found to be the most distant, whereas the Senoi and Negrito clans were almost similar to each other. In addition, the analysis of molecular variance analysis revealed 82% of variance within the population, but only 18% of difference between the tribes. Finally, the phylogenetic trees constructed using Neighbour Joining and UPGMA (Unweighted Pair Group Method with Arithmetic Mean) displayed several clusters that were tribe specific. With that, future studies are projected to analyse individuals based on more specific sub-tribes.
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Affiliation(s)
| | - Marlia Marzukhi
- Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
| | - Badrul Munir Md-Zain
- Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Kamaruddin Mamat
- Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
| | - Farida Zuraina Mohd Yusof
- Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.,Integrative Pharmacogenomics Institute (iPROMISE), Bandar Puncak Alam, Malaysia
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Raja Yahya MFZ, Abdul Hamid UM, Mohd Yusof FZ. Investigation on Nuclear Transport of Trypanosoma brucei: An in silico Approach. Bioinformatics 2012. [DOI: 10.5772/48108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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