Evidence map›Paper›PMID 23289408›Full record

ReviewHuman genomics2013

Softwares and methods for estimating genetic ancestry in human populations.

Yushi Liu, Toru Nyunoya, Shuguang Leng, Steven A Belinsky, Yohannes Tesfaigzi, Shannon Bruse

Abstract readReview
In one paragraph

Review in Human genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  10. Race, Ancestry, and Disease Outcomes in Black Individuals: a Clarification.Circulation. Genomic and precision medicine · 2022
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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

6 authors.

Yushi LiuLovelace Respiratory Research Institute, Albuquerque, NM 87108, USA.
Toru Nyunoya
Shuguang Leng
Steven A Belinsky
Yohannes Tesfaigzi
Shannon Bruse

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The estimation of genetic ancestry in human populations has important applications in medical genetic studies. Genetic ancestry is used to control for population stratification in genetic association studies, and is used to understand the genetic basis for ethnic differences in disease susceptibility. In this review, we present an overview of genetic ancestry estimation in human disease studies, followed by a review of popular softwares and methods used for this estimation.

Indexed as

PedigreeSoftwareAlgorithmsComputational BiologyGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenetics, PopulationGenome, HumanHumansLinkage DisequilibriumMarkov ChainsPrincipal Component Analysis

Identifiers

PMID23289408
PMCPMC3542037

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.