Evidence map›Paper›PMID 31975164›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

Exploring Population Structure with Admixture Models and Principal Component Analysis.

Chi-Chun Liu, Suyash Shringarpure, Kenneth Lange, John Novembre

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. ddRAD sequencing of 1076Plant diversity · 2026
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  7. Article
  8. Genetic diversity and population structure ofFrontiers in plant science · 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

4 authors.

Chi-Chun LiuDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Suyash Shringarpure23andMe Inc., Sunnyvale, CA, USA.
Kenneth LangeDepartment of Computational Medicine, University of California, Los Angeles, CA, USA.
John NovembreDepartment of Human Genetics, Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA. jnovembre@uchicago.edu.

Funding

Extending Tools for Visualization of Geographic Structure in Population Genomic DataR01GM132383 · NIGMS · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2019 to 2022
$1.4M
Tools for Visualization of Geographic Structure in Population Genomic DataU01CA198933 · NCI · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2015 to 2017
$1.2M
NCI NIH HHS U01 CA198933NIGMS NIH HHS R01 GM132383
6 · The paper itself

Abstract

Population structure is a commonplace feature of genetic variation data, and it has importance in numerous application areas, including evolutionary genetics, conservation genetics, and human genetics. Understanding the structure in a sample is necessary before more sophisticated analyses are undertaken. Here we provide a protocol for running principal component analysis (PCA) and admixture proportion inference-two of the most commonly used approaches in describing population structure. Along with hands-on examples with CEPH-Human Genome Diversity Panel and pragmatic caveats, readers will learn to analyze and visualize population structure on their own data.

Indexed as

Polymorphism, Single NucleotideComputational BiologyGenetics, PopulationGenome, HumanHumansModels, GeneticPrincipal Component AnalysisAdmixturePopulation stratificationPopulation structurePrincipal component analysis

Identifiers

PMID31975164
PMCPMC8722024

What OpenQuestion holds

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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.