Evidence map›Paper›PMID 35960716›Full record

ArticlePloS one2022

Testing the existence of an unadmixed ancestor from a specific population t generations ago.

Gabriel Illanes, María Inés Fariello, Lucía Spangenberg, Ernesto Mordecki, Hugo Naya

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Gabriel IllanesCentro de Matemática, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0003-4790-0412
María Inés FarielloBioinformatics Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Lucía SpangenbergBioinformatics Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Ernesto MordeckiCentro de Matemática, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.
Hugo NayaBioinformatics Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ancestry of each locus of the genome can be estimated (local ancestry) based on sequencing or genotyping information together with reference panels of ancestral source populations. The length of those ancestry-specific genomic segments are commonly used to understand migration waves and admixture events. In short time scales, it is often of interest to determine the existence of the most recent unadmixed ancestor from a specific population t generations ago. We built a hypothesis test to determine if an individual has an ancestor belonging to a target ancestral population t generations ago based on these lengths of the ancestry-specific segments at an individual level. We applied this test on a data set that includes 20 Uruguayan admixed individuals to estimate for each one how many generations ago the most recent indigenous ancestor lived. As this method tests each individual separately, it is particularly suited to small sample sizes, such as our study or ancient genome samples.

Indexed as

Genetics, PopulationPolymorphism, Single NucleotideGenome, HumanHumansUruguay

Identifiers

PMID35960716
PMCPMC9374268

What OpenQuestion holds

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LicenceCC BY
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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.