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"Muu (välisriiklik avalik sektor)" projekt MP1GI18407
MP1GI18407 (GRANT #HJ3-182R-18) "Reconstructing the genomic history of Bangladesh: a genetic 'white spot' (1.02.2018−31.12.2019)", Mait Metspalu, Tartu Ülikool, Tartu Ülikooli genoomika instituut.
GRANT #HJ3-182R-18
MP1GI18407
Reconstructing the genomic history of Bangladesh: a genetic 'white spot'
Reconstructing the genomic history of Bangladesh: a genetic 'white spot'
1.02.2018
31.12.2019
Teadus- ja arendusprojekt
Muu (välisriiklik avalik sektor)
ETIS klassifikaatorAlamvaldkondCERCS klassifikaatorFrascati Manual’i klassifikaatorProtsent
1. Bio- ja keskkonnateadused1.3. GeneetikaB220 Geneetika, tsütogeneetika 1.6 Bioteadused80,0
3. Terviseuuringud3.1. BiomeditsiinB460 Füüsiline antropoloogia 3.1 Biomeditsiin10,0
2. Ühiskonnateadused ja kultuur2.3. Ajalooteadused ja arheoloogiaH341 Eelajalugu6.1 Ajalugu ja arheoloogia10,0
AsutusRiikTüüp
National Geographic SocietyAmeerika Ühendriigidmittetulundusühing
PerioodSumma
01.02.2018−31.12.201927 901,36 EUR
27 901,36 EUR

The project aims to bring together, for the first time, high-resolution analyses of the uniparental markers systems – mitochondrial DNA and Y chromosome – with genome-wide and whole-genome autosomal evidence, combined with archaeological research, ethnography and historical linguistics in an interdisciplinary synthesis. We will focus on: (1) the timing and routes taken by the earliest pioneer Palaeolithic settlers, in order to test the model of an arrival of the earliest settlers ~50–60000 years ago, in two distinct waves, from both east and west; (2) The placement of Bangladesh at the South and Southeast Asian major genetic division, representing East vs West-Eurasian ancestry components, and whether it can be explained by their early admixture, or it is related to the expansion of agriculture, and/or the Bronze-Age spread of the Tibeto-Burman (from East) and Indo-Aryan from northwest; and (3) explore the impact of dispersals and population-genetic structure on the various caste and tribal populations of Bangladesh. We will do these by detailed, high-resolution analysis of more than 2000 samples from various caste and tribal population of Bangladesh, supplemented by my unpublished data resource from India and Southeast Asia including genome-wide autosomal SNPs, 3500 Indian mtDNA control-region sequences, 3000 Y-chromosome haplotypes and 332 (35 Indian) high-coverage >40X (unlike low-coverage data published to date) complete human genomes. We will carry out the analyses by drawing on the phylogeographic and phylogenetic expertise and the statistical population-modelling and computational expertise, in an inter-disciplinary approach for which my host group is especially known.
The project aims to bring together, for the first time, high-resolution analyses of the uniparental markers systems – mitochondrial DNA and Y chromosome – with genome-wide and whole-genome autosomal evidence, combined with archaeological research, ethnography and historical linguistics in an interdisciplinary synthesis. We will focus on: (1) the timing and routes taken by the earliest pioneer Palaeolithic settlers, in order to test the model of an arrival of the earliest settlers ~50–60000 years ago, in two distinct waves, from both east and west; (2) The placement of Bangladesh at the South and Southeast Asian major genetic division, representing East vs West-Eurasian ancestry components, and whether it can be explained by their early admixture, or it is related to the expansion of agriculture, and/or the Bronze-Age spread of the Tibeto-Burman (from East) and Indo-Aryan from northwest; and (3) explore the impact of dispersals and population-genetic structure on the various caste and tribal populations of Bangladesh. We will do these by detailed, high-resolution analysis of more than 2000 samples from various caste and tribal population of Bangladesh, supplemented by my unpublished data resource from India and Southeast Asia including genome-wide autosomal SNPs, 3500 Indian mtDNA control-region sequences, 3000 Y-chromosome haplotypes and 332 (35 Indian) high-coverage >40X (unlike low-coverage data published to date) complete human genomes. We will carry out the analyses by drawing on the phylogeographic and phylogenetic expertise and the statistical population-modelling and computational expertise, in an inter-disciplinary approach for which my host group is especially known.
KirjeldusProtsent
Alusuuring100,0
AsutusRollRiikTüüpKommentaar
Banaras Hindu UniversitypartnerIndia Vabariikülikool