Evidence map›Paper›PMID 32324964›Full record

ArticleMolecular ecology resources2020

Versatile simulations of admixture and accurate local ancestry inference with mixnmatch and ancestryinfer.

Molly Schumer, Daniel L Powell, Russ Corbett-Detig

Abstract read
In one paragraph

Article in Molecular ecology resources, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  7. Sensitivity of genome-wide tests for mitonuclear genetic incompatibilities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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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

3 authors.

Molly SchumerDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-2075-5668
Daniel L PowellDepartment of Biology, Stanford University, Stanford, CA, USA.
Russ Corbett-DetigGenomics Institute, University of California, Santa Cruz, CA, USA.

Funding

The population genomics of hybridization: from genetic incompatibilities to genome evolutionR35GM133774 · NIGMS · STANFORD UNIVERSITY · PI Molly Schumer · 2019 to 2026
$3.3M
Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
Alfred P. Sloan Foundation Alfred P. Sloan FellowshipHoward Hughes Medical Institute Hanna H GrayNIGMS NIH HHS 1R35GM128932NIGMS NIH HHS 1R35GM133774NIGMS NIH HHS R35 GM128932NIGMS NIH HHS R35 GM133774Stanford University
6 · The paper itself

Abstract

It has become clear that hybridization between species is much more common than previously recognized. As a result, we now know that the genomes of many modern species, including our own, are a patchwork of regions derived from past hybridization events. Increasingly researchers are interested in disentangling which regions of the genome originated from each parental species using local ancestry inference methods. Due to the diverse effects of admixture, this interest is shared across disparate fields, from human genetics to research in ecology and evolutionary biology. However, local ancestry inference methods are sensitive to a range of biological and technical parameters which can impact accuracy. Here we present paired simulation and ancestry inference pipelines, mixnmatch and ancestryinfer, to help researchers plan and execute local ancestry inference studies. mixnmatch can simulate arbitrarily complex demographic histories in the parental and hybrid populations, selection on hybrids, and technical variables such as coverage and contamination. ancestryinfer takes as input sequencing reads from simulated or real individuals, and implements an efficient local ancestry inference pipeline. We perform a series of simulations with mixnmatch to pinpoint factors that influence accuracy in local ancestry inference and highlight useful features of the two pipelines. mixnmatch is a powerful tool for simulations of hybridization while ancestryinfer facilitates local ancestry inference on real or simulated data.

Indexed as

Computer SimulationGeneticsGenetics, PopulationGenomeHumansHybridization, GeneticModels, GeneticSoftwareadmixturehidden Markov modelhybridizationlocal ancestry inference

Identifiers

PMID32324964
PMCPMC7384932

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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.