Copy number variations of Orang Asli’ (Negrito) from Peninsular Malaysia / Siti Shuhada Mokhtar

• Main Author: Mokhtar, Siti Shuhada
• Format: Thesis
• Language: English
• Published: 2015
• Online Access: https://ir.uitm.edu.my/id/eprint/18374/2/TM_SITI%20SHUHADA%20MOKHTAR%20MD%2015_5.pdf; https://ir.uitm.edu.my/id/eprint/18374/

Copy number variation (CNV) has been acknowledged as a major contributor to the human genome diversity. This variability covers approximately about 15% of the entire human genome. To date, it is reported that CNV plays an important role in the association of common and complex diseases and also in determining the phenotypes. Nevertheless, CNV data from diverse populations is still limited and not saturated especially population from South East Asia. This study represents the first investigation of CNV in the indigenous populations from Peninsular Malaysia, of particular interest, the Negrito. Ninety-seven Negrito samples were recruited, of which 50 unrelated Negrito samples were genotyped using the Affymetrix SNP 6.0 microarray. CNVs were then called by two independent algorithms namely, Genotyping Console and Nexus CNV. Subsequently the CNVs being called by both algorithms were considered stringent hence included to the subsequent analyses. A total of 643 stringent CNVs were identified, comprising 217 gains and 426 losses. These stringent CNVs were then matched with the publicly available datasets including DGV, HapMap3 and SGVP, and identified 57 putative novel and Negrito specific CNVs, consisting of 28 CNVRs. These included 15 gains and 13 losses. Analysis of gene ontology revealed that genes within these CNVs were enriched in the immune system (p <0.001). In view of the small population size, relative isolation and semi-nomadic lifestyles of this community, it is speculated that these CNVs may be attributed to recent local adaptation of Negritos from Peninsular Malaysia. Nonetheless other factors such as genetic drift should not be ruled out. This study offers a preliminary effort at an extent to which rare variants shape risk of common disease. More saturated CNV map is needed and should be carried out through large-scale next generation sequencing.