Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Afghan Hindu Kush: where Eurasian sub-continent gene flows converge      
dateReleased:
11-04-2013
description:
Despite being located at the crossroads of Asia, genetics of the Afghanistan populations have been largely overlooked. It is currently inhabited by five major ethnic populations: Pashtun, Tajik, Hazara, Uzbek and Turkmen. Here we present autosomal from a subset of our samples, mitochondrial and Y- chromosome data from over 500 Afghan samples among these 5 ethnic groups. This Afghan data was supplemented with the same Y-chromosome analyses of samples from Iran, Kyrgyzstan, Mongolia and updated Pakistani samples (HGDP-CEPH). The data presented here was integrated into existing knowledge of pan-Eurasian genetic diversity. The pattern of genetic variation, revealed by structure-like and Principal Component analyses and Analysis of Molecular Variance indicates that the people of Afghanistan are made up of a mosaic of components representing various geographic regions of Eurasian ancestry. The absence of a major Central Asian-specific component indicates that the Hindu Kush, like the gene pool of Central Asian populations in general, is a confluence of gene flows rather than a source of distinctly autochthonous populations that have arisen in situ: a conclusion that is reinforced by the phylogeography of both haploid loci. 24 samples were analysed with the Illumina platform Human660W-Quad v1.0 Genotyping BeadChip and are described herein.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-51158
refinement:
raw
alternateIdentifiers:
51158
keywords:
functional genomics
dateModified:
06-03-2014
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-GEOD-8888
name:
Illumina Human660W-Quad v1.0 BeadChip
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-51158/E-GEOD-51158.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-51158/E-GEOD-51158.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE51158
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress
Similar Datasets

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.