Estimating recent migration and population-size surfaces

In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ec...

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Vydáno v:	PLoS genetics Ročník 15; číslo 1; s. e1007908
Hlavní autoři:	Al-Asadi, Hussein, Petkova, Desislava, Stephens, Matthew, Novembre, John
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 14.01.2019 Public Library of Science (PLoS)
Témata:	Biodiversity Bioinformatics Biological Evolution Biological research Biology and Life Sciences Conservation genetics Demography Earth Sciences Ecology and Environmental Sciences Europe Evolution Evolutionary biology Evolutionary genetics Funding Gene mapping Genetic diversity Genetic Variation - genetics Genetics Genetics, Population Genomes Haplotypes - genetics Humans Methods Migration People and Places Population biology Population Density Population Dynamics - statistics & numerical data Population structure Principal components analysis Research and Analysis Methods Social Sciences Software Supervision Visualization Europe Scotland Chicago Illinois United States > US Illinois
ISSN:	1553-7404, 1553-7390, 1553-7404
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Abstract	In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ∼3,000 years in Europe.
AbstractList	In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ∼3,000 years in Europe. In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ∼3,000 years in Europe.In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ∼3,000 years in Europe. In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ∼3,000 years in Europe. We introduce a novel statistical method to infer migration rates and population sizes across space in recent time periods. Our approach builds upon the previously developed EEMS method, which infers effective migration rates under a dense lattice. Similarly, we infer demographic parameters under a lattice and use a (Voronoi) prior to regularize parameters of the model. However, our method differs from EEMS in a few key respects. First, we use the coalescent model parameterized by migration rates and population sizes while EEMS uses a resistance model. As another key difference, our method uses haplotype data while EEMS uses the average genetic distance. A consequence of using haplotype data is that our method can separately estimate migration rates and population sizes, which in essence is done by using a recombination rate map to calibrate the decay of haplotypes over time. An additional useful feature of haplotype data is that, by varying the lengths analyzed, we can infer demography associated with different recent time periods. We call our method MAPS for estimating Migration And Population-size Surfaces. To illustrate MAPS on real data, we analyze a genome-wide SNP dataset on 2224 individuals of European ancestry. In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often complex, and may vary across space and time. Methods to uncover and visualize such relationships have widespread use for analyses in molecular ecology, conservation genetics, evolutionary genetics, and human genetics. While several frameworks exist, a promising approach is to infer maps of how migration rates vary across geographic space. Such maps could, in principle, be estimated across time to reveal the full complexity of population histories. Here, we take a step in this direction: we present a method to infer maps of population sizes and migration rates associated with different time periods from a matrix of genetic similarity between every pair of individuals. Specifically, genetic similarity is measured by counting the number of long segments of haplotype sharing (also known as identity-by-descent tracts). By varying the length of these segments we obtain parameter estimates associated with different time periods. Using simulations, we show that the method can reveal time-varying migration rates and population sizes, including changes that are not detectable when using a similar method that ignores haplotypic structure. We apply the method to a dataset of contemporary European individuals (POPRES), and provide an integrated analysis of recent population structure and growth over the last ~3,000 years in Europe.
Audience	Academic
Author	Novembre, John Petkova, Desislava Stephens, Matthew Al-Asadi, Hussein
AuthorAffiliation	1 Evolutionary Biology, University of Chicago, Chicago, Illinois, United States of America 3 Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom 2 Department of Statistics, University of Chicago, Illinois, United States of America 4 Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America Pennsylvania State University, UNITED STATES
AuthorAffiliation_xml	– name: 1 Evolutionary Biology, University of Chicago, Chicago, Illinois, United States of America – name: 2 Department of Statistics, University of Chicago, Illinois, United States of America – name: 3 Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom – name: Pennsylvania State University, UNITED STATES – name: 4 Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
Author_xml	– sequence: 1 givenname: Hussein orcidid: 0000-0003-3469-6707 surname: Al-Asadi fullname: Al-Asadi, Hussein – sequence: 2 givenname: Desislava surname: Petkova fullname: Petkova, Desislava – sequence: 3 givenname: Matthew surname: Stephens fullname: Stephens, Matthew – sequence: 4 givenname: John surname: Novembre fullname: Novembre, John
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/30640906$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1093/oso/9780198529958.001.0001 10.1006/tpbi.2001.1557 10.1214/aos/1016120364 10.1534/genetics.116.196220 10.1101/gr.081398.108 10.1016/j.cub.2008.07.049 10.1016/j.ajhg.2012.08.030 10.1111/j.0014-3820.2006.tb00500.x 10.1111/j.1365-294X.2009.04410.x 10.1101/gr.083634.108 10.1016/j.tpb.2014.08.002 10.1007/s10592-009-0044-5 10.1371/journal.pgen.1002453 10.1016/j.ajhg.2011.01.010 10.1038/nature14230 10.1371/journal.pbio.1001555 10.1371/journal.pgen.1006059 10.3378/027.081.0313 10.1038/ng.3464 10.1371/journal.pgen.0020190 10.1126/science.114.2961.315 10.1101/189688 10.1534/genetics.112.147215 10.1371/journal.pgen.0010070 10.1038/nature10231 10.2307/2992403 10.1101/092148 10.1371/journal.pgen.1005703 10.1093/bioinformatics/btt239 10.1038/nature07331 10.1126/science.7618100 10.1101/080291 10.1515/9781400847242 10.1016/S0169-5347(03)00008-9 10.1016/j.ajhg.2008.08.005 10.1093/bioinformatics/btw355 10.1038/nrg4005 10.1093/genetics/28.2.114 10.1093/genetics/155.2.945 10.1534/genetics.113.150029
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References	ref37 F Rousset (ref5) 2004 ref14 A Gusev (ref26) 2009; 19 BL Browning (ref28) 2013; 194 ref36 G Barbujani (ref8) 1989; 38 NA Rosenberg (ref6) 2005; 1 G Guillot (ref9) 2005; 5 ref11 H Li (ref17) 2011; 475 S Leslie (ref22) 2015; 519 PF Palamara (ref42) 2013; 29 G Segelbacher (ref4) 2010; 11 G Guillot (ref10) 2009; 18 O Lao (ref35) 2008; 18 NH Barton (ref23) 2002; 61 DJ Lawson (ref21) 2012; 8 S Manel (ref2) 2003; 18 JK Pritchard (ref15) 2000; 155 ref46 GS Bradburd (ref13) 2016; 12 PF Palamara (ref33) 2016; 32 A Zimmermann (ref39) 2009; 81 M Stephens (ref45) 2000 D Petkova (ref12) 2016; 48 BH McRae (ref31) 2006; 60 J Novembre (ref34) 2008; 456 JG Schraiber (ref18) 2015; 16 J Kaplanis (ref40) 2018 PF Palamara (ref19) 2012; 91 JE Cohen (ref38) 1995; 269 S Baharian (ref24) 2016; 12 WH Womble (ref7) 1951; 114 S Carmi (ref43) 2013; 193 J Hein (ref44) 2004 S Wright (ref1) 1943; 28 MR Nelson (ref25) 2008; 83 ref29 GK Chen (ref32) 2009; 19 P Ralph (ref20) 2013; 11 BL Browning (ref27) 2011; 88 N Patterson (ref16) 2006; 2 S Carmi (ref41) 2014; 97 H Ringbauer (ref30) 2017; 205 MG Turner (ref3) 2001
References_xml	– ident: ref37 – year: 2004 ident: ref44 article-title: Gene Genealogies, Variation and Evolution: A Primer in Coalescent Theory doi: 10.1093/oso/9780198529958.001.0001 – volume: 61 start-page: 31 issue: 1 year: 2002 ident: ref23 article-title: Neutral Evolution in Spatially Continuous Populations publication-title: Theoretical Population Biology doi: 10.1006/tpbi.2001.1557 – start-page: 40 year: 2000 ident: ref45 article-title: Bayesian Analysis of Mixture Models with an Unknown Number of Components, an Alternative to Reversible Jump Methods publication-title: Annals of Statistics doi: 10.1214/aos/1016120364 – year: 2018 ident: ref40 article-title: Quantitative analysis of population-scale family trees with millions of relatives publication-title: Science – volume: 205 start-page: 1335 issue: 3 year: 2017 ident: ref30 article-title: Inferring Recent Demography from Isolation-By-Distance of Long Shared Sequence Blocks publication-title: Genetics doi: 10.1534/genetics.116.196220 – volume: 19 start-page: 318 issue: 2 year: 2009 ident: ref26 article-title: Whole Population, Genome-Wide Mapping of Hidden Relatedness publication-title: Genome Research doi: 10.1101/gr.081398.108 – volume: 18 start-page: 1241 issue: 16 year: 2008 ident: ref35 article-title: Correlation between Genetic and Geographic Structure in Europe publication-title: Current Biology doi: 10.1016/j.cub.2008.07.049 – volume: 91 start-page: 809 issue: 5 year: 2012 ident: ref19 article-title: Length Distributions of Identity by Descent Reveal Fine-scale Demographic History publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2012.08.030 – volume: 60 start-page: 1551 issue: 8 year: 2006 ident: ref31 article-title: Isolation by Resistance publication-title: Evolution doi: 10.1111/j.0014-3820.2006.tb00500.x – volume: 18 start-page: 4734 issue: 23 year: 2009 ident: ref10 article-title: Statistical Methods in Spatial Genetics publication-title: Molecular Ecology doi: 10.1111/j.1365-294X.2009.04410.x – volume: 19 start-page: 136 issue: 1 year: 2009 ident: ref32 article-title: Fast and flexible simulation of DNA sequence data publication-title: Genome Research doi: 10.1101/gr.083634.108 – volume: 97 start-page: 35 year: 2014 ident: ref41 article-title: A Renewal Theory Approach to IBD Sharing publication-title: Theoretical Population Biology doi: 10.1016/j.tpb.2014.08.002 – volume: 11 start-page: 375 issue: 2 year: 2010 ident: ref4 article-title: Applications of Landscape Genetics in Conservation Biology: Concepts and Challenges publication-title: Conservation Genetics doi: 10.1007/s10592-009-0044-5 – volume: 8 start-page: e1002453 issue: 1 year: 2012 ident: ref21 article-title: Inference of Population Structure using Dense Haplotype Data publication-title: PLoS Genetics doi: 10.1371/journal.pgen.1002453 – volume: 88 start-page: 173 issue: 2 year: 2011 ident: ref27 article-title: A Fast, Powerful Method for Detecting Identity-by-Descent publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2011.01.010 – volume: 519 start-page: 309 issue: 7543 year: 2015 ident: ref22 article-title: The Fine-Scale Genetic Structure of the British Population publication-title: Nature doi: 10.1038/nature14230 – volume: 11 start-page: e1001555 issue: 5 year: 2013 ident: ref20 article-title: The Geography of Recent Genetic Ancestry across Europe publication-title: PLoS Biol doi: 10.1371/journal.pbio.1001555 – volume: 12 start-page: e1006059 issue: 5 year: 2016 ident: ref24 article-title: The Great Migration and African-American Genomic Diversity publication-title: PLoS Genetics doi: 10.1371/journal.pgen.1006059 – volume: 81 start-page: 357 issue: 3 year: 2009 ident: ref39 article-title: Estimations of Population Density for Selected Periods between the Neolithic and AD 1800 publication-title: Human Biology doi: 10.3378/027.081.0313 – volume: 48 start-page: 94 issue: 1 year: 2016 ident: ref12 article-title: Visualizing Spatial Population Structure with Estimated Effective Migration Surfaces publication-title: Nat Genet doi: 10.1038/ng.3464 – volume: 2 start-page: e190 issue: 12 year: 2006 ident: ref16 article-title: Population Structure and Eigenanalysis publication-title: PLoS Genet doi: 10.1371/journal.pgen.0020190 – volume: 114 start-page: 315 issue: 2961 year: 1951 ident: ref7 article-title: Differential Systematics publication-title: Science doi: 10.1126/science.114.2961.315 – ident: ref36 – ident: ref14 doi: 10.1101/189688 – volume: 193 start-page: 911 issue: 3 year: 2013 ident: ref43 article-title: The Variance of Identity-By-Descent Sharing in the Wright-Fisher Model publication-title: Genetics doi: 10.1534/genetics.112.147215 – volume: 1 start-page: e70 issue: 6 year: 2005 ident: ref6 article-title: Clines, Clusters, and the Effect of Study Design on the Inference of Human Population Structure publication-title: PLoS Genet doi: 10.1371/journal.pgen.0010070 – volume: 475 start-page: 493 issue: 7357 year: 2011 ident: ref17 article-title: Inference of Human Population History from Individual Whole-Genome Sequences publication-title: Nature doi: 10.1038/nature10231 – ident: ref46 – volume: 38 start-page: 376 issue: 4 year: 1989 ident: ref8 article-title: Detecting Regions of Abrupt Change in Maps of Biological Variables publication-title: Systematic Zoology doi: 10.2307/2992403 – ident: ref29 doi: 10.1101/092148 – volume: 12 start-page: e1005703 issue: 1 year: 2016 ident: ref13 article-title: A Spatial Framework for Understanding Population Structure and Admixture publication-title: PLoS Genet doi: 10.1371/journal.pgen.1005703 – volume: 29 start-page: i180 issue: 13 year: 2013 ident: ref42 article-title: Inference of historical migration rates via haplotype sharing publication-title: Bioinformatics doi: 10.1093/bioinformatics/btt239 – volume: 5 start-page: 712 issue: 3 year: 2005 ident: ref9 article-title: GENELAND: A Computer Package for Landscape Genetics publication-title: Molecular Ecology Resources – volume: 456 start-page: 98 issue: 7218 year: 2008 ident: ref34 article-title: Genes Mirror Geography within Europe publication-title: Nature doi: 10.1038/nature07331 – volume: 269 start-page: 341 issue: 5222 year: 1995 ident: ref38 article-title: Population Growth and Earth’s Human Carrying Capacity publication-title: Science doi: 10.1126/science.7618100 – year: 2001 ident: ref3 article-title: Landscape Ecology in Theory and Practice – ident: ref11 doi: 10.1101/080291 – year: 2004 ident: ref5 article-title: Genetic Structure and Selection in Subdivided Populations (MPB-40) doi: 10.1515/9781400847242 – volume: 18 start-page: 189 issue: 4 year: 2003 ident: ref2 article-title: Landscape Genetics: Combining Landscape Ecology and Population Genetics publication-title: Trends in Ecology & Evolution doi: 10.1016/S0169-5347(03)00008-9 – volume: 83 start-page: 347 issue: 3 year: 2008 ident: ref25 article-title: The Population Reference Sample, POPRES: A Resource for Population, Disease, and Pharmacological Genetics Research publication-title: The American Journal of Human Genetics doi: 10.1016/j.ajhg.2008.08.005 – volume: 32 start-page: 3032 issue: 19 year: 2016 ident: ref33 article-title: ARGON: Fast, Whole-genome Simulation of the Discrete Time Wright-Fisher Process publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw355 – volume: 16 start-page: 727 issue: 12 year: 2015 ident: ref18 article-title: Methods and Models for Unravelling Human Evolutionary History publication-title: Nature Reviews Genetics doi: 10.1038/nrg4005 – volume: 28 start-page: 114 issue: 2 year: 1943 ident: ref1 article-title: Isolation by Distance publication-title: Genetics doi: 10.1093/genetics/28.2.114 – volume: 155 start-page: 945 issue: 2 year: 2000 ident: ref15 article-title: Inference of Population Structure using Multilocus Genotype Data publication-title: Genetics doi: 10.1093/genetics/155.2.945 – volume: 194 start-page: 459 issue: 2 year: 2013 ident: ref28 article-title: Improving the Accuracy and Efficiency of Identity-by-Descent Detection in Population Data publication-title: Genetics doi: 10.1534/genetics.113.150029
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SubjectTerms	Biodiversity Bioinformatics Biological Evolution Biological research Biology and Life Sciences Conservation genetics Demography Earth Sciences Ecology and Environmental Sciences Europe Evolution Evolutionary biology Evolutionary genetics Funding Gene mapping Genetic diversity Genetic Variation - genetics Genetics Genetics, Population Genomes Haplotypes - genetics Humans Methods Migration People and Places Population biology Population Density Population Dynamics - statistics & numerical data Population structure Principal components analysis Research and Analysis Methods Social Sciences Software Supervision Visualization
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Title	Estimating recent migration and population-size surfaces
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