Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/150903
DC FieldValue
dc.titleMAPPING THE NATURAL VARIATION OF GLOBAL POPULATIONS
dc.contributor.authorSAW WOEI YUH
dc.date.accessioned2019-01-16T18:00:25Z
dc.date.available2019-01-16T18:00:25Z
dc.date.issued2018-07-26
dc.identifier.citationSAW WOEI YUH (2018-07-26). MAPPING THE NATURAL VARIATION OF GLOBAL POPULATIONS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/150903
dc.description.abstractThe use of “Asian” as a racial definition is common in the social sciences and medical communities. Populations located within a pre-defined geographical location have commonly been attached to the same population label. This thesis aims to map the degree of natural variation amongst Asian populations, using different biological molecular states which include genomics, transcriptomics, and lipidomics. Our findings revealed that the heterogeneity of natural variation (i) observed between Indians and non-Indians (Malays and Chinese) is not solely limited to genomics but also at the transcriptome and the lipidome levels; (ii) existed between populations located within Japan – Okinawan and mainland Japanese; (iii) seen greater between Malays and Malaysia indigenous populations, than between Malays and Chinese. These findings further highlight that the broad population labels may not be appropriate, different populations omics data allowed detailed population genetics inference to be made and could act as the control groups for disease-related studies.
dc.language.isoen
dc.subjectNatural Variation, Population Structure, Indigenous Populations, Omics, Genetic Diversity, Genomics
dc.typeThesis
dc.contributor.departmentDEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH)
dc.contributor.supervisorYik Ying Teo
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (SPH)
Appears in Collections:Ph.D Theses (Open)

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
SWY_Thesis_v4.pdf13.94 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.