Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Shared and unique components of human population structure and genome-wide signals of positive selection in South Asia

ABSTRACT: To study the population genetic structure and genome-wide signals of positive selection we carried out Illumina genotyping for 142 individuals of Sout Asian origin 142 samples are analysed on thwo different Illumina platforms. 48 of them with Human610-Quad v 1.0 are described herein. 142 samples are analysed on thwo different Illumina platforms. 94 of them with HumanHap650Yv3_A are described herein.

ORGANISM(S): Homo sapiens

SUBMITTER: Mait Metspalu

PROVIDER: E-GEOD-33489 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Shared and unique components of human population structure and genome-wide signals of positive selection in South Asia.

Metspalu Mait M Romero Irene Gallego IG Yunusbayev Bayazit B Chaubey Gyaneshwer G Mallick Chandana Basu CB Hudjashov Georgi G Nelis Mari M Mägi Reedik R Metspalu Ene E Remm Maido M Pitchappan Ramasamy R Singh Lalji L Thangaraj Kumarasamy K Villems Richard R Kivisild Toomas T

American journal of human genetics 20111201 6

South Asia harbors one of the highest levels genetic diversity in Eurasia, which could be interpreted as a result of its long-term large effective population size and of admixture during its complex demographic history. In contrast to Pakistani populations, populations of Indian origin have been underrepresented in previous genomic scans of positive selection and population structure. Here we report data for more than 600,000 SNP markers genotyped in 142 samples from 30 ethnic groups in India. C ...[more]

PMID: 22152676

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Project description:Contemporary Jews comprise an aggregate of ethno-religious communities whose worldwide members identify with each other through various shared religious, historical, and cultural traditions1,2. Historical evidence suggests common origins in the Middle East, followed by migrations leading to the establishment of communities of Jews in Europe, Africa, and Asia - in what is termed the Jewish Diaspora3-5. This complex demographic history imposes special challenges in attempting to address the genetic structure of the Jewish people6. While many genetic studies have shed light on Jewish diseases and origins, including those focusing on uniparentally- and biparentally-inherited markers7-16, genome-wide patterns of variation across the vast geographic span of Jewish Diaspora communities and their respective neighbors have yet to be addressed. Here we use high-density bead arrays to genotype individuals from 14 Jewish Diaspora communities, and compare these patterns of genome-wide diversity with those from 69 Old World non-Jewish populations, of which 25 have not been previously reported. These samples were carefully chosen to provide comprehensive comparisons between Jewish and non-Jewish populations in the Diaspora, as well as with non-Jewish populations from the Middle East and North Africa. Principal component and structure-like analyses identify previously unrecognized genetic substructure within the Middle East. Most Jewish samples form a remarkably tight sub-cluster that overlies Druze and Cypriot samples, but not samples from other Levantine populations or paired Diaspora host populations. In contrast, Ethiopian Jews (Beta Israel) and Bene Israel Indian Jews cluster with neighbouring autochthonous populations in Ethiopia and western India, respectively; despite a clear paternal link between the Bene Israel and the Levant. These results cast light on the variegated genetic architecture of the Middle East, and trace the origins of most Jewish Diaspora communities to the Levant. 466 samples are analysed on three different Illumina platforms.

Dataset Information

Shared and unique components of human population structure and genome-wide signals of positive selection in South Asia

Publications

Shared and unique components of human population structure and genome-wide signals of positive selection in South Asia.

Similar Datasets

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