Evidence map›Paper›PMID 31123038›Full record

ArticleGenetics2019

Fine-Scale Inference of Ancestry Segments Without Prior Knowledge of Admixing Groups.

Michael Salter-Townshend, Simon Myers

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The impacts of European arrival on Australian dingoes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. A 120-y time series of genomes reveals the consequences of closed breeding in German Shepherd Dogs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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5 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

2 authors.

Michael Salter-TownshendSchool of Mathematics and Statistics, University College Dublin, Ireland michael.salter-townshend@ucd.ie.ORCID 0000-0001-6232-9109
Simon MyersDept. of Statistics, University of Oxford and Wellcome Trust Centre for Human Genetics, Oxford, UK.ORCID 0000-0002-2585-9626

Funding

Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
NHGRI NIH HHS R01 HG006399Wellcome TrustWellcome Trust 098387/Z/12/ZWellcome Trust 203141/Z/16/ZWellcome Trust 212284/Z/18/Z
6 · The paper itself

Abstract

We present an algorithm for inferring ancestry segments and characterizing admixture events, which involve an arbitrary number of genetically differentiated groups coming together. This allows inference of the demographic history of the species, properties of admixing groups, identification of signatures of natural selection, and may aid disease gene mapping. The algorithm employs nested hidden Markov models to obtain local ancestry estimation along the genome for each admixed individual. In a range of simulations, the accuracy of these estimates equals or exceeds leading existing methods. Moreover, and unlike these approaches, we do not require any prior knowledge of the relationship between subgroups of donor reference haplotypes and the unseen mixing ancestral populations. Our approach infers these in terms of conditional "copying probabilities." In application to the Human Genome Diversity Project, we corroborate many previously inferred admixture events (

Indexed as

Models, GeneticPedigreeGenetic DriftGenetics, PopulationHaplotypesHLA AntigensHumansMarkov ChainsPopulationSoftwareHLA Antigensadmixturedemographydriftpopulation geneticsselection

Identifiers

PMID31123038
PMCPMC6614886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.