Evidence map›Paper›PMID 33007197›Full record

ArticleAmerican journal of human genetics2020

Lessons Learned from Bugs in Models of Human History.

Aaron P Ragsdale, Dominic Nelson, Simon Gravel, Jerome Kelleher

Abstract readHistorical Article
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025
    Article
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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.

Aaron P RagsdaleMcGill Genome Centre and Department of Human Genetics, McGill University, Montréal, QC H2X 3C9, Canada.
Dominic NelsonMcGill Genome Centre and Department of Human Genetics, McGill University, Montréal, QC H2X 3C9, Canada.
Simon GravelMcGill Genome Centre and Department of Human Genetics, McGill University, Montréal, QC H2X 3C9, Canada. Electronic address: simon.gravel@mcGill.ca.
Jerome KelleherBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK. Electronic address: jerome.kelleher@bdi.ox.ac.uk.

Funding

CIHR MOP 136855
6 · The paper itself

Abstract

Simulation plays a central role in population genomics studies. Recent years have seen rapid improvements in software efficiency that make it possible to simulate large genomic regions for many individuals sampled from large numbers of populations. As the complexity of the demographic models we study grows, however, there is an ever-increasing opportunity to introduce bugs in their implementation. Here, we describe two errors made in defining population genetic models using the msprime coalescent simulator that have found their way into the published record. We discuss how these errors have affected downstream analyses and give recommendations for software developers and users to reduce the risk of such errors.

Indexed as

Genome, HumanModels, GeneticSoftwareAlgorithmsComputer SimulationDemographyGenetics, PopulationGenetic VariationHistory, AncientHuman MigrationHumans

Identifiers

PMID33007197
PMCPMC7536610

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.