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.
This is the first report of QQQ-mass spectrometric identification and quantification of the Hb subunits, alpha, beta, delta and gamma globin peptides, derived from enzymatic-digestion of proteins in the early unknown peaks of the Bio-Rad cation-exchange chromatography of haemoglobin. The objectives were to assess the relationship of the quantity of the free alpha, beta, delta and gamma globin chains with the phenotypic diversity of beta-thalassaemias (β-thal). The results demonstrate that the pools of free globin chains in red blood cells were correlating with the severity of the disease in patients with different phenotypes of β-thal. The mechanism and the regulation of synthesis of free globin chains pool in a normal individual and in patients with different β-thal phenotypes could arise from several mechanisms which will require further investigation. The role of the free globin pool in patients with β-thal for development of novel therapeutic approaches based on these potential targets requires further investigation. Pertinent biomarkers improves the diagnosis of the β-thal, especially in low-income countries where they are most common and allows more effective therapeutic intervention leading to more successful therapeutic outcome.