Evidence map›Paper›PMID 23010245›Full record

ArticleTheoretical population biology2013

A sequentially Markov conditional sampling distribution for structured populations with migration and recombination.

Matthias Steinrücken, Joshua S Paul, Yun S Song

Abstract read
In one paragraph

Article in Theoretical population biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Inference of complex population histories using whole-genome sequences from multiple populations.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Explosive genetic evidence for explosive human population growth.Current opinion in genetics & development · 2016
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Fundamental limits on the accuracy of demographic inference based on the sample frequency spectrum.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Matthias SteinrückenDepartment of Statistics, University of California, Berkeley, CA 94720, USA. steinrue@stat.berkeley.edu
Joshua S Paul
Yun S Song

Funding

GENOMICST32HG000047 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RASMUS NIELSEN, Daniel Soleyman Rokhsar · 2000 to 2026
$13.5M
Mathematical Models and Statistical Methods for Large-Scale Population GenomicsR01GM094402 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2010 to 2018
$2.2M
NHGRI NIH HHS T32 HG000047NHGRI NIH HHS T32-HG00047NIGMS NIH HHS R01-GM09440NIGMS NIH HHS R01 GM094402
6 · The paper itself

Abstract

Conditional sampling distributions (CSDs), sometimes referred to as copying models, underlie numerous practical tools in population genomic analyses. Though an important application that has received much attention is the inference of population structure, the explicit exchange of migrants at specified rates has not hitherto been incorporated into the CSD in a principled framework. Recently, in the case of a single panmictic population, a sequentially Markov CSD has been developed as an accurate, efficient approximation to a principled CSD derived from the diffusion process dual to the coalescent with recombination. In this paper, the sequentially Markov CSD framework is extended to incorporate subdivided population structure, thus providing an efficiently computable CSD that admits a genealogical interpretation related to the structured coalescent with migration and recombination. As a concrete application, it is demonstrated empirically that the CSD developed here can be employed to yield accurate estimation of a wide range of migration rates.

Indexed as

Markov ChainsRecombination, GeneticProbabilityConditional sampling distributionHidden Markov modelMigrationRecombinationSequentially Markov coalescentStructured coalescent

Identifiers

PMID23010245
PMCPMC3532580

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.