Evidence map›Paper›PMID 33012903›Full record

ArticleJournal of the American Statistical Association2020

Efficiently inferring the demographic history of many populations with allele count data.

Jack Kamm, Jonathan Terhorst, Richard Durbin, Yun S Song

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
–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

97 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  14. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Review
  18. A general framework for branch length estimation in Ancestral Recombination Graphs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Anthropocene genetic diversity loss in the marine tropics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

37 more citing papers are in PubMed but not listed here.

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

4 authors.

Jack KammWellcome Sanger Institute, Hinxton, Cambridge, UK.
Jonathan TerhorstDepartment of Statistics, University of Michigan, Ann Arbor, USA.
Richard DurbinWellcome Sanger Institute, Hinxton, Cambridge, UK.
Yun S SongComputer Science Division, University of California, Berkeley, USA.

Funding

Methods for inference of complex demography and selection from genomic dataR01GM109454 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2013 to 2016
$1.2M
NIGMS NIH HHS R01 GM109454Wellcome Trust 207492/Z/17/Z
6 · The paper itself

Abstract

The sample frequency spectrum (SFS), or histogram of allele counts, is an important summary statistic in evolutionary biology, and is often used to infer the history of population size changes, migrations, and other demographic events affecting a set of populations. The expected multipopulation SFS under a given demographic model can be efficiently computed when the populations in the model are related by a tree, scaling to hundreds of populations. Admixture, back-migration, and introgression are common natural processes that violate the assumption of a tree-like population history, however, and until now the expected SFS could be computed for only a handful of populations when the demographic history is not a tree. In this article, we present a new method for efficiently computing the expected SFS and linear functionals of it, for demographies described by general directed acyclic graphs. This method can scale to more populations than p reviously possible for complex demographic histories including admixture. We apply our method to an 8-population SFS to estimate the timing and strength of a proposed "basal Eurasian" admixture event in human history. We implement and release our method in a new open-source software package momi2.

Indexed as

coalescent theorydemographic inferencefrequency spectrumpopulation genetics

Identifiers

PMID33012903
PMCPMC7531012

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Registered trials

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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.