Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays
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 wer...
الحاوية / القاعدة: | Scientific Reports |
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المؤلف الرئيسي: | |
التنسيق: | مقال |
اللغة: | English |
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Nature Research
2021
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112031993&doi=10.1038%2fs41598-021-95618-y&partnerID=40&md5=c5dc9a202c95ff449a267a3628f7c536 |
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Khoruddin N.A.; Noorizhab M.N.F.; Teh L.K.; Mohd Yusof F.Z.; Salleh M.Z. |
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Khoruddin N.A.; Noorizhab M.N.F.; Teh L.K.; Mohd Yusof F.Z.; Salleh M.Z. 2-s2.0-85112031993 Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays 2021 Scientific Reports 11 1 10.1038/s41598-021-95618-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112031993&doi=10.1038%2fs41598-021-95618-y&partnerID=40&md5=c5dc9a202c95ff449a267a3628f7c536 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. © 2021, The Author(s). Nature Research 20452322 English Article All Open Access; Gold Open Access; Green Open Access |
author |
2-s2.0-85112031993 |
spellingShingle |
2-s2.0-85112031993 Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
author_facet |
2-s2.0-85112031993 |
author_sort |
2-s2.0-85112031993 |
title |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
title_short |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
title_full |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
title_fullStr |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
title_full_unstemmed |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
title_sort |
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays |
publishDate |
2021 |
container_title |
Scientific Reports |
container_volume |
11 |
container_issue |
1 |
doi_str_mv |
10.1038/s41598-021-95618-y |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112031993&doi=10.1038%2fs41598-021-95618-y&partnerID=40&md5=c5dc9a202c95ff449a267a3628f7c536 |
description |
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. © 2021, The Author(s). |
publisher |
Nature Research |
issn |
20452322 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1828987869270638592 |