Evidence map›Paper›PMID 27662060›Full record

ReviewCurrent opinion in genetics & development2016

Recent advances in the study of fine-scale population structure in humans.

John Novembre, Benjamin M Peter

Abstract readHistorical ArticleReview
In one paragraph

Review in Current opinion in genetics & development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. The apportionment of citations: a scientometric analysis of Lewontin 1972.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  9. The background and legacy of Lewontin's apportionment of human genetic diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  10. Article
  11. Article
  12. Leveraging genetic ancestry to study health disparities.American journal of physical anthropology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

John NovembreDepartment of Human Genetics, University of Chicago, IL 60636, United States; Department of Ecology and Evolutionary Biology, University of Chicago, IL 60636, United States.
Benjamin M PeterDepartment of Human Genetics, University of Chicago, IL 60636, United States.

Funding

Population Genetic Consequences of Recent Explosive Population Growth in HumansR01GM108805 · NIGMS · CORNELL UNIVERSITY · PI CLARK, ANDREW G, KEINAN, ALON · 2014 to 2017
$2.2M
Haplotype-based analysis methods for population genomicsR01HG007089 · NHGRI · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2013 to 2017
$1.5M
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 CA198933NHGRI NIH HHS R01 HG007089NIGMS NIH HHS R01 GM108805
6 · The paper itself

Abstract

Empowered by modern genotyping and large samples, population structure can be accurately described and quantified even when it only explains a fraction of a percent of total genetic variance. This is especially relevant and interesting for humans, where fine-scale population structure can both confound disease-mapping studies and reveal the history of migration and divergence that shaped our species' diversity. Here we review notable recent advances in the detection, use, and understanding of population structure. Our work addresses multiple areas where substantial progress is being made: improved statistics and models for better capturing differentiation, admixture, and the spatial distribution of variation; computational speed-ups that allow methods to scale to modern data; and advances in haplotypic modeling that have wide ranging consequences for the analysis of population structure. We conclude by outlining four important open challenges: the limitations of discrete population models, uncertainty in individual origins, the incorporation of both fine-scale structure and ancient DNA in parametric models, and the development of efficient computational tools, particularly for haplotype-based methods.

Indexed as

Genetics, PopulationGenetic VariationDNA, MitochondrialGenotypeHistory, AncientHuman MigrationHumansDNA, Mitochondrial

Identifiers

PMID27662060
PMCPMC5291306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.