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Differences in local population history at the finest level: the case of the Estonian population
Several recent studies detected fine-scale genetic structure in human populations. Hence, groups conventionally treated as single populations harbour significant variation in terms of allele frequencies and patterns of haplotype sharing. It has been shown that these findings should be considered whe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575549/ https://www.ncbi.nlm.nih.gov/pubmed/32712624 http://dx.doi.org/10.1038/s41431-020-0699-4 |
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author | Pankratov, Vasili Montinaro, Francesco Kushniarevich, Alena Hudjashov, Georgi Jay, Flora Saag, Lauri Flores, Rodrigo Marnetto, Davide Seppel, Marten Kals, Mart Võsa, Urmo Taccioli, Cristian Möls, Märt Milani, Lili Aasa, Anto Lawson, Daniel John Esko, Tõnu Mägi, Reedik Pagani, Luca Metspalu, Andres Metspalu, Mait |
author_facet | Pankratov, Vasili Montinaro, Francesco Kushniarevich, Alena Hudjashov, Georgi Jay, Flora Saag, Lauri Flores, Rodrigo Marnetto, Davide Seppel, Marten Kals, Mart Võsa, Urmo Taccioli, Cristian Möls, Märt Milani, Lili Aasa, Anto Lawson, Daniel John Esko, Tõnu Mägi, Reedik Pagani, Luca Metspalu, Andres Metspalu, Mait |
author_sort | Pankratov, Vasili |
collection | PubMed |
description | Several recent studies detected fine-scale genetic structure in human populations. Hence, groups conventionally treated as single populations harbour significant variation in terms of allele frequencies and patterns of haplotype sharing. It has been shown that these findings should be considered when performing studies of genetic associations and natural selection, especially when dealing with polygenic phenotypes. However, there is little understanding of the practical effects of such genetic structure on demography reconstructions and selection scans when focusing on recent population history. Here we tested the impact of population structure on such inferences using high-coverage (~30×) genome sequences of 2305 Estonians. We show that different regions of Estonia differ in both effective population size dynamics and signatures of natural selection. By analyzing identity-by-descent segments we also reveal that some Estonian regions exhibit evidence of a bottleneck 10–15 generations ago reflecting sequential episodes of wars, plague and famine, although this signal is virtually undetected when treating Estonia as a single population. Besides that, we provide a framework for relating effective population size estimated from genetic data to actual census size and validate it on the Estonian population. This approach may be widely used both to cross-check estimates based on historical sources as well as to get insight into times and/or regions with no other information available. Our results suggest that the history of human populations within the last few millennia can be highly region specific and cannot be properly studied without taking local genetic structure into account. |
format | Online Article Text |
id | pubmed-7575549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75755492020-10-29 Differences in local population history at the finest level: the case of the Estonian population Pankratov, Vasili Montinaro, Francesco Kushniarevich, Alena Hudjashov, Georgi Jay, Flora Saag, Lauri Flores, Rodrigo Marnetto, Davide Seppel, Marten Kals, Mart Võsa, Urmo Taccioli, Cristian Möls, Märt Milani, Lili Aasa, Anto Lawson, Daniel John Esko, Tõnu Mägi, Reedik Pagani, Luca Metspalu, Andres Metspalu, Mait Eur J Hum Genet Article Several recent studies detected fine-scale genetic structure in human populations. Hence, groups conventionally treated as single populations harbour significant variation in terms of allele frequencies and patterns of haplotype sharing. It has been shown that these findings should be considered when performing studies of genetic associations and natural selection, especially when dealing with polygenic phenotypes. However, there is little understanding of the practical effects of such genetic structure on demography reconstructions and selection scans when focusing on recent population history. Here we tested the impact of population structure on such inferences using high-coverage (~30×) genome sequences of 2305 Estonians. We show that different regions of Estonia differ in both effective population size dynamics and signatures of natural selection. By analyzing identity-by-descent segments we also reveal that some Estonian regions exhibit evidence of a bottleneck 10–15 generations ago reflecting sequential episodes of wars, plague and famine, although this signal is virtually undetected when treating Estonia as a single population. Besides that, we provide a framework for relating effective population size estimated from genetic data to actual census size and validate it on the Estonian population. This approach may be widely used both to cross-check estimates based on historical sources as well as to get insight into times and/or regions with no other information available. Our results suggest that the history of human populations within the last few millennia can be highly region specific and cannot be properly studied without taking local genetic structure into account. Springer International Publishing 2020-07-25 2020-11 /pmc/articles/PMC7575549/ /pubmed/32712624 http://dx.doi.org/10.1038/s41431-020-0699-4 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pankratov, Vasili Montinaro, Francesco Kushniarevich, Alena Hudjashov, Georgi Jay, Flora Saag, Lauri Flores, Rodrigo Marnetto, Davide Seppel, Marten Kals, Mart Võsa, Urmo Taccioli, Cristian Möls, Märt Milani, Lili Aasa, Anto Lawson, Daniel John Esko, Tõnu Mägi, Reedik Pagani, Luca Metspalu, Andres Metspalu, Mait Differences in local population history at the finest level: the case of the Estonian population |
title | Differences in local population history at the finest level: the case of the Estonian population |
title_full | Differences in local population history at the finest level: the case of the Estonian population |
title_fullStr | Differences in local population history at the finest level: the case of the Estonian population |
title_full_unstemmed | Differences in local population history at the finest level: the case of the Estonian population |
title_short | Differences in local population history at the finest level: the case of the Estonian population |
title_sort | differences in local population history at the finest level: the case of the estonian population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575549/ https://www.ncbi.nlm.nih.gov/pubmed/32712624 http://dx.doi.org/10.1038/s41431-020-0699-4 |
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