Evidence map›Paper›PMID 23315925›Full record

ArticleCurrent protocols in human genetics2013

Overview of admixture mapping.

Daniel Shriner

Abstract read
In one paragraph

Article in Current protocols in human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Observational
  5. Admixture mapping identifies complex trait associations with local ancestry in themedRxiv : the preprint server for health sciences · 2025
    Article
  6. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
    Article
  7. Review
  8. Article
  9. Old vs. New Local Ancestry Inference in HCHS/SOL: A Comparative Study.bioRxiv : the preprint server for biology · 2025
    Article
  10. Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024
    Review
  11. Review
  12. Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  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

1 author.

Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.

Funding

Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
Intramural NIH HHS Z01 HG200362Intramural NIH HHS Z99 HG999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

Admixture mapping is a powerful method of gene mapping for diseases or traits that show differential risk by ancestry. Admixture mapping has been applied most often to African Americans who trace ancestry to Europeans and West Africans. Recent developments in admixture mapping include improvements in methods to take advantage of higher densities of genetic variants, as well as extensions to admixed populations with three or more ancestral populations, such as Latino Americans. In this unit, the author outlines the key concepts of admixture mapping. The author describes several approaches for inferring local ancestry and provides strategies for performing admixture mapping depending on the study design. Finally, the author compares and contrasts linkage analysis, association analysis, and admixture mapping, with an emphasis on integrating admixture mapping and association testing.

Indexed as

Black or African AmericanBlack PeopleChromosome MappingGenetic Association StudiesGenetic LinkageGenome, HumanHispanic or LatinoHumansPhenotypeQuantitative Trait LociWhite People

Identifiers

PMID23315925
PMCPMC3556814

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.