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Decoding a highly mixed Kazakh genome
We provide a Kazakh whole genome sequence (MJS) and analyses with the largest comparative Kazakh genomic data available to date. We found 102,240 novel SNVs and a high level of heterozygosity. ADMIXTURE analysis confirmed a significant proportion of variations in this individual coming from all cont...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170836/ https://www.ncbi.nlm.nih.gov/pubmed/32076829 http://dx.doi.org/10.1007/s00439-020-02132-8 |
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author | Seidualy, Madina Blazyte, Asta Jeon, Sungwon Bhak, Youngjune Jeon, Yeonsu Kim, Jungeun Eriksson, Anders Bolser, Dan Yoon, Changhan Manica, Andrea Lee, Semin Bhak, Jong |
author_facet | Seidualy, Madina Blazyte, Asta Jeon, Sungwon Bhak, Youngjune Jeon, Yeonsu Kim, Jungeun Eriksson, Anders Bolser, Dan Yoon, Changhan Manica, Andrea Lee, Semin Bhak, Jong |
author_sort | Seidualy, Madina |
collection | PubMed |
description | We provide a Kazakh whole genome sequence (MJS) and analyses with the largest comparative Kazakh genomic data available to date. We found 102,240 novel SNVs and a high level of heterozygosity. ADMIXTURE analysis confirmed a significant proportion of variations in this individual coming from all continents except Africa and Oceania. A principal component analysis showed neighboring Kalmyk, Uzbek, and Kyrgyz populations to have the strongest resemblance to the MJS genome which reflects fairly recent Kazakh history. MJS’s mitochondrial haplogroup, J1c2, probably represents an early European and Near Eastern influence to Central Asia. This was also supported by the heterozygous SNPs associated with European phenotypic features and strikingly similar Kazakh ancestral composition inferred by ADMIXTURE. Admixture (f3) analysis showed that MJS’s genomic signature is best described as a cross between the Neolithic East Asian (Devil’s Gate1) and the Bronze Age European (Halberstadt_LBA1) components rather than a contemporary admixture. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00439-020-02132-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7170836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71708362020-04-23 Decoding a highly mixed Kazakh genome Seidualy, Madina Blazyte, Asta Jeon, Sungwon Bhak, Youngjune Jeon, Yeonsu Kim, Jungeun Eriksson, Anders Bolser, Dan Yoon, Changhan Manica, Andrea Lee, Semin Bhak, Jong Hum Genet Original Investigation We provide a Kazakh whole genome sequence (MJS) and analyses with the largest comparative Kazakh genomic data available to date. We found 102,240 novel SNVs and a high level of heterozygosity. ADMIXTURE analysis confirmed a significant proportion of variations in this individual coming from all continents except Africa and Oceania. A principal component analysis showed neighboring Kalmyk, Uzbek, and Kyrgyz populations to have the strongest resemblance to the MJS genome which reflects fairly recent Kazakh history. MJS’s mitochondrial haplogroup, J1c2, probably represents an early European and Near Eastern influence to Central Asia. This was also supported by the heterozygous SNPs associated with European phenotypic features and strikingly similar Kazakh ancestral composition inferred by ADMIXTURE. Admixture (f3) analysis showed that MJS’s genomic signature is best described as a cross between the Neolithic East Asian (Devil’s Gate1) and the Bronze Age European (Halberstadt_LBA1) components rather than a contemporary admixture. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00439-020-02132-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-02-19 2020 /pmc/articles/PMC7170836/ /pubmed/32076829 http://dx.doi.org/10.1007/s00439-020-02132-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Investigation Seidualy, Madina Blazyte, Asta Jeon, Sungwon Bhak, Youngjune Jeon, Yeonsu Kim, Jungeun Eriksson, Anders Bolser, Dan Yoon, Changhan Manica, Andrea Lee, Semin Bhak, Jong Decoding a highly mixed Kazakh genome |
title | Decoding a highly mixed Kazakh genome |
title_full | Decoding a highly mixed Kazakh genome |
title_fullStr | Decoding a highly mixed Kazakh genome |
title_full_unstemmed | Decoding a highly mixed Kazakh genome |
title_short | Decoding a highly mixed Kazakh genome |
title_sort | decoding a highly mixed kazakh genome |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170836/ https://www.ncbi.nlm.nih.gov/pubmed/32076829 http://dx.doi.org/10.1007/s00439-020-02132-8 |
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