Evidence map›Paper›PMID 25043967›Full record

ArticleGenetic epidemiology2014

The role of local ancestry adjustment in association studies using admixed populations.

Jianqi Zhang, Daniel O Stram

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 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Old vs. New Local Ancestry Inference in HCHS/SOL: A Comparative Study.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023
    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.

Jianqi ZhangDivision of Biostatistics, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Daniel O Stram

Funding

Untargeted Adductomics to Characterize Ethnic Differences in the Exposome of SmokersP01CA138338 · NCI · UNIVERSITY OF MINNESOTA · PI Daniel O Stram · 2010 to 2026
$33.4M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Epidemiology of Putative Causal Variants in the Multiethnic CohortU01HG004802 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2008 to 2012
$8.4M
Epidemiologic Studies of Putative Functional Variation in Multiethnic CohortU01HG007397 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2013 to 2017
$3.7M
Genome-wide sequencing of prostate cancer in men of African ancestryR01CA165862 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, REICH, DAVID E · 2012 to 2016
$3.1M
NCI NIH HHS 5R01CA165862-02NCI NIH HHS 5U19CA148537-04NCI NIH HHS P01 CA138338NCI NIH HHS P01CA138338NCI NIH HHS R01 CA165862NCI NIH HHS U19 CA148537NHGRI NIH HHS 1U01HG007397-01NHGRI NIH HHS 5U01HG004802-04NHGRI NIH HHS U01 HG004802NHGRI NIH HHS U01 HG007397
6 · The paper itself

Abstract

Association analysis using admixed populations imposes challenges and opportunities for disease mapping. By developing some explicit results for the variance of an allele of interest conditional on either local or global ancestry and by simulation of recently admixed genomes we evaluate power and false-positive rates under a variety of scenarios concerning linkage disequilibrium (LD) and the presence of unmeasured variants. Pairwise LD patterns were compared between admixed and nonadmixed populations using the HapMap phase 3 data. Based on the above, we showed that as follows: For causal variants with similar effect size in all populations, power is generally higher in a study using admixed population than using nonadmixed population, especially for highly differentiated SNPs. This gain of power is achieved with adjustment of global ancestry, which completely removes any cross-chromosome inflation of type I error rates, and addresses much of the intrachromosome inflation. If reliably estimated, adjusting for local ancestry precisely recovers the localization that could have been achieved in a stratified analysis of source populations. Improved localization is most evident for highly differentiated SNPs; however, the advantage of higher power is lost on exactly the same differentiated SNPs. In the real admixed populations such as African Americans and Latinos, the expansion of LD is not as dramatic as in our simulation. While adjustment for global ancestry is required prior to announcing a novel association seen in an admixed population, local ancestry adjustment may best be regarded as a localization tool not strictly required for discovery purposes.

Indexed as

Genetics, PopulationGenome-Wide Association StudyAllelesBlack or African AmericanGenotypeHapMap ProjectHispanic or LatinoHumansLinkage DisequilibriumModels, GeneticPolymorphism, Single Nucleotideadmixturegenetic association studiesglobal ancestrylocal ancestrypower and type I error

Identifiers

PMID25043967
PMCPMC5079159

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.