We classified diversity in eight new complete mitochondrial genome sequences and 41 partial sequences from living Aboriginal Australians into five haplogroups. Haplogroup AuB belongs to global lineage M, and AuA, AuC, AuD, and AuE to N. Within N, we recognize subdivisions, assigning AuA to haplogroup S, AuD to haplogroup O, AuC to P4, and AuE to P8. On available evidence, (S)AuA and (M)AuB are widespread in Australia. (P4)AuC is found in the Riverine region of western New South Wales, and was identified by others in northern Australia. (O)AuD and (P8)AuE were clearly identified only from central Australia. Our eight Australian full mt genome sequences, combined with 20 others (Ingman and Gyllensten 2003 Genome Res. 13:1600-1606) and compared with full mt genome sequences from regions to the north that include Papua New Guinea, Malaya, and Andaman and Nicobar Islands, show that ancestral connections between regions are deep and limited to clustering at the level of the N and M macrohaplogroups. The Australian-specific distribution of the five haplogroups identified indicates genetic isolation over a long period. Ancestral connections within Australia are deeper than those reflected by known linguistic or culturally based affinities. Applying a coalescence analysis to a gene tree for the coding regions of the eight genomic sequences, we made estimates of time depth that support a continuity of presence for the descendants of a founding population already established by 40,000 years ago.
Associations among seven apolipoprotein B (APOB) gene polymorphisms [C-T promoter site; Leu-Ala-Leu signal peptide (SP) insertion/deletion; AG C,G site at codon 71; AG A1,D site at codon 591; XbaI site at codon 2488; AG H,I site at codon 3611; and AG T,Z site at codon 4154] were investigated in 195 members of an Orang Asli (aborigine) population from western Malaysia. Frequencies of the rare alleles for all these polymorphisms turned out to be low when compared with European but not Asian populations. The AG H,I site was not polymorphic. The highly polymorphic sites are in linkage disequilibrium among themselves, as shown by their delta values: SP 24,27 and AG C,G, 0.68; SP 24,27 and AG A1,D, 0.71; XbaI and AG C,G, 0.64; XbaI and AG A1,D, 0.57; SP 24,27 and XbaI, 0.48; and AG C,G and AG A1,D, 0.68. Ten unequivocal haplotypes on the basis of six sites (excluding the promoter polymorphism) were observed, and they represent 80% of the sample. The frequency of haplotype SP27,G,A1,X-,I,T, defined by the common homozygotes at all the sites for the APOB gene was 0.7, compared with 0.22 in Europeans. The ancestral haplotype SP27,G,D,X-,I,T was present at low frequency (0.01) in both the Orang Asli and Europeans. A cladogram constructed on the basis of haplotypes in the Orang Asli shows two different lines of evolution and that other haplotypes evolved by subsequent mutations on the ancestral haplotype.
The Malaysian people consist of several ethnic groups including the Malay, the Chinese, the Indian and the Orang Asli (aboriginal Malaysians). We collected blood samples from outpatients of 2 hospitals in the State of Selangor and identified 27 glucose-6-phosphate dehydrogenase (G6PD)-deficient subjects among these ethnic groups. In the Malay, G6PD Viangchan (871GA, 1311CT, IVS11 nt93TC) and G6PD Mahidol (487GA) types, which are common in Cambodia and Myanmar, respectively, were detected. The Malay also had both subtypes of G6PD Mediterranean:the Mediterranean subtype (563CT, 1311CT, IVS11 nt93TC) and the Indo-Pakistan subtype (563CT, 1311C, IVS11 nt93T). In Malaysians of Chinese background, G6PD Kaiping (1388GA), G6PD Canton (1376GT) and G6PD Gaohe (95AG), which are common in China, were detected. Indian Malaysians possessed G6PD Mediterranean (Indo-Pakistan subtype) and G6PD Namoru (208TC), a few cases of which had been reported in Vanuatu and many in India. Our findings indicate that G6PD Namoru occurs in India and flows to Malaysia up to Vanuatu. We also discovered 5 G6PD-deficient cases with 2 nucleotide substitutions of 1311CT and IVS11 nt93TC, but without amino-acid substitution in the G6PD molecule. These results indicate that the Malaysian people have incorporated many ancestors in terms of G6PD variants.
Study site: Kajang District Hospital and the Hospital Orang Asli Gombak, Selangor, Malaysia
Members of the Semai group of Orang Asli ('aborigines') in peninsular Malaysia were examined for apolipoprotein E (apo E) variants in relation to plasma total cholesterol (TC), high density lipoprotein cholesterol, low density lipoprotein cholesterol (LDLC), triglycerides (TG), apolipoprotein AI and apolipoprotein B (apo B). The e2 and e4 alleles were found to be higher than in most other groups as reported. The sample as a whole was normotriglyceridaemic (mean plasma TG, 1.5 mmol/l) and very markedly hypocholesterolaemic (mean plasma TC 1.7 mmol/l). The distribution of apo E variants was not related to any of the plasma lipids or apolipoprotein fractions using results from all subjects, but if a distinctly hypertriglyceridaemic sub-section was omitted (TG > 1.7 mmol/l) then apo E variants were determinants of plasma TC, LDLC, and apo B concentrations, the lower values of these being associated with the 2-2 and 2-3 genotypes, and the higher with 3-4, and 4-4.
Ancestry-informative markers (AIMs) can be used to infer the ancestry of an individual to minimize the inaccuracy of self-reported ethnicity in biomedical research. In this study, we describe three methods for selecting AIM SNPs for the Malay population (Malay AIM panel) using different approaches based on pairwise FST, informativeness for assignment (In), and PCA-correlated SNPs (PCAIMs). These Malay AIM panels were extracted from genotype data stored in SNP arrays hosted by the Malaysian node of the Human Variome Project (MyHVP) and the Singapore Genome Variation Project (SGVP). In particular, genotype data from a total of 165 Malay individuals were analyzed, comprising data on 117 individual genotypes from the Affymetrix SNP-6 SNP array platform and data on 48 individual genotypes from the OMNI 2.5 Illumina SNP array platform. The HapMap phase 3 database (1397 individuals from 11 populations) was used as a reference for comparison with the Malay genotype data. The accuracy of each resulting Malay AIM panel was evaluated using a machine learning "ancestry-predictive model" constructed by using WEKA, a comprehensive machine learning platform written in Java. A total of 1250 SNPs were finally selected, which successfully identified Malay individuals from other world populations with an accuracy of 90%, but the accuracy decreased to 80% using 157 SNPs according to the pairwise FST method, while a panel of 200 SNPs selected using In and PCAIMs could be used to identify Malay individuals with an accuracy of approximately 80%.
The population history of Aboriginal Australians remains largely uncharacterized. Here we generate high-coverage genomes for 83 Aboriginal Australians (speakers of Pama-Nyungan languages) and 25 Papuans from the New Guinea Highlands. We find that Papuan and Aboriginal Australian ancestors diversified 25-40 thousand years ago (kya), suggesting pre-Holocene population structure in the ancient continent of Sahul (Australia, New Guinea and Tasmania). However, all of the studied Aboriginal Australians descend from a single founding population that differentiated ~10-32 kya. We infer a population expansion in northeast Australia during the Holocene epoch (past 10,000 years) associated with limited gene flow from this region to the rest of Australia, consistent with the spread of the Pama-Nyungan languages. We estimate that Aboriginal Australians and Papuans diverged from Eurasians 51-72 kya, following a single out-of-Africa dispersal, and subsequently admixed with archaic populations. Finally, we report evidence of selection in Aboriginal Australians potentially associated with living in the desert.
Determining the racial affinity of an unknown individual from dentition for identification is indeed a difficult endeavour. However, there are certain dental characteristics which are predominant in certain racial groups and these contribute important indicators in the identification process. Inherited dental characteristics are modified by prenatal and postnatal environmental and nutritional conditions. They can also become less discernible due to admixture of the various races.