IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v115y2017icp1-12.html
   My bibliography  Save this article

Population structure and coalescence in pedigrees: Comparisons to the structured coalescent and a framework for inference

Author

Listed:
  • Wilton, Peter R.
  • Baduel, Pierre
  • Landon, Matthieu M.
  • Wakeley, John

Abstract

Contrary to what is often assumed in population genetics, independently segregating loci do not have completely independent ancestries, since all loci are inherited through a single, shared population pedigree. Previous work has shown that the non-independence between gene genealogies of independently segregating loci created by the population pedigree is weak in panmictic populations, and predictions made from standard coalescent theory are accurate for populations that are at least moderately sized. Here, we investigate patterns of coalescence in pedigrees of structured populations. We find that the pedigree creates deviations away from the predictions of the structured coalescent that persist on a longer timescale than in the case of panmictic populations. Nevertheless, we find that the structured coalescent provides a reasonable approximation for the coalescent process in structured population pedigrees so long as migration events are moderately frequent and there are no migration events in the recent pedigree of the sample. When there are migration events in the recent sample pedigree, we find that distributions of coalescence in the sample can be modeled as a mixture of distributions from different initial sample configurations. We use this observation to motivate a maximum-likelihood approach for inferring migration rates and mutation rates jointly with features of the pedigree such as recent migrant ancestry and recent relatedness. Using simulation, we show that our inference framework accurately recovers long-term migration rates in the presence of recent migration events in the sample pedigree.

Suggested Citation

  • Wilton, Peter R. & Baduel, Pierre & Landon, Matthieu M. & Wakeley, John, 2017. "Population structure and coalescence in pedigrees: Comparisons to the structured coalescent and a framework for inference," Theoretical Population Biology, Elsevier, vol. 115(C), pages 1-12.
  • Handle: RePEc:eee:thpobi:v:115:y:2017:i:c:p:1-12
    DOI: 10.1016/j.tpb.2017.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580917300084
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2017.01.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kelleher, J. & Etheridge, A.M. & Véber, A. & Barton, N.H., 2016. "Spread of pedigree versus genetic ancestry in spatially distributed populations," Theoretical Population Biology, Elsevier, vol. 108(C), pages 1-12.
    2. Douglas L. T. Rohde & Steve Olson & Joseph T. Chang, 2004. "Modelling the recent common ancestry of all living humans," Nature, Nature, vol. 431(7008), pages 562-566, September.
    3. Heng Li & Richard Durbin, 2011. "Inference of human population history from individual whole-genome sequences," Nature, Nature, vol. 475(7357), pages 493-496, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Severson, Alissa L. & Carmi, Shai & Rosenberg, Noah A., 2021. "Variance and limiting distribution of coalescence times in a diploid model of a consanguineous population," Theoretical Population Biology, Elsevier, vol. 139(C), pages 50-65.
    2. Buschbom, Jutta, 2018. "Exploring and validating statistical reliability in forensic conservation genetics," Thünen Reports 63, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Severson, Alissa L. & Carmi, Shai & Rosenberg, Noah A., 2021. "Variance and limiting distribution of coalescence times in a diploid model of a consanguineous population," Theoretical Population Biology, Elsevier, vol. 139(C), pages 50-65.
    2. Gideon S Bradburd & Peter L Ralph & Graham M Coop, 2016. "A Spatial Framework for Understanding Population Structure and Admixture," PLOS Genetics, Public Library of Science, vol. 12(1), pages 1-38, January.
    3. Juraj Bergman & Rasmus Ø. Pedersen & Erick J. Lundgren & Rhys T. Lemoine & Sophie Monsarrat & Elena A. Pearce & Mikkel H. Schierup & Jens-Christian Svenning, 2023. "Worldwide Late Pleistocene and Early Holocene population declines in extant megafauna are associated with Homo sapiens expansion rather than climate change," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Per Unneberg & Mårten Larsson & Anna Olsson & Ola Wallerman & Anna Petri & Ignas Bunikis & Olga Vinnere Pettersson & Chiara Papetti & Astthor Gislason & Henrik Glenner & Joan E. Cartes & Leocadio Blan, 2024. "Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins," Nature Communications, Nature, vol. 15(1), pages 1-29, December.
    5. Ya-Mei Ding & Xiao-Xu Pang & Yu Cao & Wei-Ping Zhang & Susanne S. Renner & Da-Yong Zhang & Wei-Ning Bai, 2023. "Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Romain Fournier & Zoi Tsangalidou & David Reich & Pier Francesco Palamara, 2023. "Haplotype-based inference of recent effective population size in modern and ancient DNA samples," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Steinrücken, Matthias & Paul, Joshua S. & Song, Yun S., 2013. "A sequentially Markov conditional sampling distribution for structured populations with migration and recombination," Theoretical Population Biology, Elsevier, vol. 87(C), pages 51-61.
    8. Barton, N.H. & Etheridge, A.M. & Kelleher, J. & Véber, A., 2013. "Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks," Theoretical Population Biology, Elsevier, vol. 87(C), pages 105-119.
    9. Guangping Huang & Lingyun Song & Xin Du & Xin Huang & Fuwen Wei, 2023. "Evolutionary genomics of camouflage innovation in the orchid mantis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Legried, Brandon & Terhorst, Jonathan, 2022. "Rates of convergence in the two-island and isolation-with-migration models," Theoretical Population Biology, Elsevier, vol. 147(C), pages 16-27.
    11. Jörn Bethune & April Kleppe & Søren Besenbacher, 2022. "A method to build extended sequence context models of point mutations and indels," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    12. Hobolth, Asger & Jensen, Jens Ledet, 2014. "Markovian approximation to the finite loci coalescent with recombination along multiple sequences," Theoretical Population Biology, Elsevier, vol. 98(C), pages 48-58.
    13. Carmi, Shai & Wilton, Peter R. & Wakeley, John & Pe’er, Itsik, 2014. "A renewal theory approach to IBD sharing," Theoretical Population Biology, Elsevier, vol. 97(C), pages 35-48.
    14. Kerdoncuff, Elise & Lambert, Amaury & Achaz, Guillaume, 2020. "Testing for population decline using maximal linkage disequilibrium blocks," Theoretical Population Biology, Elsevier, vol. 134(C), pages 171-181.
    15. Youjie Zhao & Chengyong Su & Bo He & Ruie Nie & Yunliang Wang & Junye Ma & Jingyu Song & Qun Yang & Jiasheng Hao, 2023. "Dispersal from the Qinghai-Tibet plateau by a high-altitude butterfly is associated with rapid expansion and reorganization of its genome," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    16. Xiaodong Liu & Long Lin & Mikkel-Holger S. Sinding & Laura D. Bertola & Kristian Hanghøj & Liam Quinn & Genís Garcia-Erill & Malthe Sebro Rasmussen & Mikkel Schubert & Patrícia Pečnerová & Renzo F. Ba, 2024. "Introgression and disruption of migration routes have shaped the genetic integrity of wildebeest populations," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    17. He Yu & Alexandra Jamieson & Ardern Hulme-Beaman & Chris J. Conroy & Becky Knight & Camilla Speller & Hiba Al-Jarah & Heidi Eager & Alexandra Trinks & Gamini Adikari & Henriette Baron & Beate Böhlendo, 2022. "Palaeogenomic analysis of black rat (Rattus rattus) reveals multiple European introductions associated with human economic history," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    18. Aoki, Kenichi & Wakano, Joe Yuichiro, 2022. "Hominin forager technology, food sharing, and diet breadth," Theoretical Population Biology, Elsevier, vol. 144(C), pages 37-48.
    19. Yuan Yin & Huizhong Fan & Botong Zhou & Yibo Hu & Guangyi Fan & Jinhuan Wang & Fan Zhou & Wenhui Nie & Chenzhou Zhang & Lin Liu & Zhenyu Zhong & Wenbo Zhu & Guichun Liu & Zeshan Lin & Chang Liu & Jion, 2021. "Molecular mechanisms and topological consequences of drastic chromosomal rearrangements of muntjac deer," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    20. Yupeng Sang & Zhiqin Long & Xuming Dan & Jiajun Feng & Tingting Shi & Changfu Jia & Xinxin Zhang & Qiang Lai & Guanglei Yang & Hongying Zhang & Xiaoting Xu & Huanhuan Liu & Yuanzhong Jiang & Pär K. In, 2022. "Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:115:y:2017:i:c:p:1-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.