Evidence map›Paper›PMID 18252211›Full record

ArticleAmerican journal of human genetics2008

Estimating local ancestry in admixed populations.

Sriram Sankararaman, Srinath Sridhar, Gad Kimmel, Eran Halperin

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 5 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

223 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Identification of novel genetic markers of breast cancer survival.Journal of the National Cancer Institute · 2015
    Pooled it
  5. Pooled it
  6. Trial
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  9. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
  10. Article
  11. Article
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  15. Article
  16. Genome-wide SNP evidence for the genetic uniqueness of indigenous cattle population.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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  18. Article
  19. Article
  20. Article

163 more citing papers are in PubMed but not listed here.

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.

Sriram SankararamanComputer Science Deptartment, University of California, Berkeley, CA 94720, USA.
Srinath Sridhar
Gad Kimmel
Eran Halperin

Funding

Detecting relations among heterogeneous genomic datasetsR33HG003070 · NHGRI · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD · 2004 to 2006
$1.2M
NHGRI NIH HHS R33 HG003070
6 · The paper itself

Abstract

Large-scale genotyping of SNPs has shown a great promise in identifying markers that could be linked to diseases. One of the major obstacles involved in performing these studies is that the underlying population substructure could produce spurious associations. Population substructure can be caused by the presence of two distinct subpopulations or a single pool of admixed individuals. In this work, we focus on the latter, which is significantly harder to detect in practice. New advances in this research direction are expected to play a key role in identifying loci that are different among different populations and are still associated with a disease. We evaluated current methods for inference of population substructure in such cases and show that they might be quite inaccurate even in relatively simple scenarios. We therefore introduce a new method, LAMP (Local Ancestry in adMixed Populations), which infers the ancestry of each individual at every single-nucleotide polymorphism (SNP). LAMP computes the ancestry structure for overlapping windows of contiguous SNPs and combines the results with a majority vote. Our empirical results show that LAMP is significantly more accurate and more efficient than existing methods for inferring locus-specific ancestries, enabling it to handle large-scale datasets. We further show that LAMP can be used to estimate the individual admixture of each individual. Our experimental evaluation indicates that this extension yields a considerably more accurate estimate of individual admixture than state-of-the-art methods such as STRUCTURE or EIGENSTRAT, which are frequently used for the correction of population stratification in association studies.

Indexed as

AlgorithmsGenetics, PopulationModels, GeneticGenetic Diseases, InbornGenetics, MedicalHumansPolymorphism, Single Nucleotide

Identifiers

PMID18252211
PMCPMC2664993

What OpenQuestion holds

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Registered trials

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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.