TY - JOUR
T1 - Differences in local population history at the finest level
T2 - the case of the Estonian population
AU - Pankratov, Vasili
AU - Montinaro, Francesco
AU - Kushniarevich, Alena
AU - Hudjashov, Georgi
AU - Jay, Flora
AU - Saag, Lauri
AU - Flores, Rodrigo
AU - Marnetto, Davide
AU - Seppel, Marten
AU - Kals, Mart
AU - Võsa, Urmo
AU - Taccioli, Cristian
AU - Möls, Märt
AU - Milani, Lili
AU - Aasa, Anto
AU - Lawson, Daniel John
AU - Esko, Tõnu
AU - Mägi, Reedik
AU - Pagani, Luca
AU - Metspalu, Andres
AU - Metspalu, Mait
PY - 2020/7/25
Y1 - 2020/7/25
N2 - 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.
AB - 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.
KW - Genetic structure
KW - demographic history
KW - Estonia
U2 - 10.1038/s41431-020-0699-4
DO - 10.1038/s41431-020-0699-4
M3 - Article (Academic Journal)
C2 - 32712624
SN - 1018-4813
JO - European Journal of Human Genetics
JF - European Journal of Human Genetics
ER -