Evidence map›Paper›PMID 38165936›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

A general approach for inferring the ancestry of recent ancestors of an admixed individual.

Yiming Zhang, Haotian Zhang, Yufeng Wu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. 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

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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

3 authors.

Yiming ZhangSchool of Computing, College of Engineering, University of Connecticut, Storrs, CT 06269.ORCID 0000-0001-9735-0418
Haotian ZhangSchool of Computing, College of Engineering, University of Connecticut, Storrs, CT 06269.ORCID 0009-0002-2309-7936
Yufeng WuSchool of Computing, College of Engineering, University of Connecticut, Storrs, CT 06269.ORCID 0000-0003-4988-3521

Funding

National Science Foundation (NSF) IIS-1909425
6 · The paper itself

Abstract

The genome of an individual from an admixed population consists of segments originated from different ancestral populations. Most existing ancestry inference approaches focus on calling these segments for the extant individual. In this paper, we present a general ancestry inference approach for inferring recent ancestors from an extant genome. Given the genome of an individual from a recently admixed population, our method can estimate the proportions of the genomes of the recent ancestors of this individual that originated from some ancestral populations. The key step of our method is the inference of ancestors (called founders) right after the formation of an admixed population. The inferred founders can then be used to infer the ancestry of recent ancestors of an extant individual. Our method is implemented in a computer program called PedMix2. To the best of our knowledge, there is no existing method that can practically infer ancestors beyond grandparents from an extant individual's genome. Results on both simulated and real data show that PedMix2 performs well in ancestry inference.

Indexed as

Genetics, PopulationGrandparentsGenome, HumanHumansSoftwareancestry inferencegeneticsgenetic testspopulation admixturerecombination

Identifiers

PMID38165936
PMCPMC10786287

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.