Evidence map›Paper›PMID 25112189›Full record

ArticleGenetic epidemiology2014

Local and global ancestry inference and applications to genetic association analysis for admixed populations.

Timothy A Thornton, Justo Lorenzo Bermejo

Abstract read
In one paragraph

Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
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  19. Review
  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.

Timothy A ThorntonDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Justo Lorenzo Bermejo

Funding

GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
Statistical Methods for Cancer Genetic Association Studies with Hidden PopulationK01CA148958 · NCI · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2010 to 2014
$682k
NCI NIH HHS K01 CA148958NIGMS NIH HHS P01 GM099568NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

Genetic association studies in recently admixed populations offer exciting opportunities to identify novel variants underlying phenotypic diversity. At the same time, genetic heterogeneity resulting from population admixture has to be accounted for to ensure validity of association tests. The whole-genome sequence data and the genome-wide single-nucleotide polymorphism chip data for Mexican American individuals provided by Genetic Analysis Workshop 18 (GAW18) presents a unique opportunity to evaluate and compare methods for the statistical analysis of admixed genetic data. We summarize here the five contributions from the GAW18 working group on admixture mapping and adjusting for admixture. Although group members considered a variety of research topics, the general theme was inference and consideration of ancestry admixture in genetic analyses. The topics considered can be grouped into three categories: (1) global and local ancestry inference and estimation, (2) association and admixture mapping, and (3) genotype imputation in admixed samples. We describe the approaches that were used and the most relevant findings from each contribution. We also provide insight into the strengths and limitations of the state-of-the-art methods considered for genetic analyses in admixed populations.

Indexed as

Genetic Association StudiesGenetics, PopulationBlood PressureChromosome MappingGenetic HeterogeneityGenotypeHumansMexican AmericansPedigreePolymorphism, Single NucleotidePrincipal Component AnalysisSequence Analysis, DNAadmixtureassociationgenotype imputationGWASlocal ancestry

Identifiers

PMID25112189
PMCPMC4339867

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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.