Evidence map›Paper›PMID 14631557›Full record

ArticleAmerican journal of human genetics2003

Informativeness of genetic markers for inference of ancestry.

Noah A Rosenberg, Lei M Li, Ryk Ward, Jonathan K Pritchard

Abstract read
In one paragraph

Article in American journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 322 papers.

0numbers the graph read from it
0cells of the map it votes in
322citing 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

322 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genome-wide characterization of genetic diversity and breed discrimination markers in Tharparkar cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

262 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.

Noah A RosenbergProgram in Molecular and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA. noahr@usc.edu
Lei M Li
Ryk Ward
Jonathan K Pritchard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inference of individual ancestry is useful in various applications, such as admixture mapping and structured-association mapping. Using information-theoretic principles, we introduce a general measure, the informativeness for assignment (I(n)), applicable to any number of potential source populations, for determining the amount of information that multiallelic markers provide about individual ancestry. In a worldwide human microsatellite data set, we identify markers of highest informativeness for inference of regional ancestry and for inference of population ancestry within regions; these markers, which are listed in online-only tables in our article, can be useful both in testing for and in controlling the influence of ancestry on case-control genetic association studies. Markers that are informative in one collection of source populations are generally informative in others. Informativeness of random dinucleotides, the most informative class of microsatellites, is five to eight times that of random single-nucleotide polymorphisms (SNPs), but 2%-12% of SNPs have higher informativeness than the median for dinucleotides. Our results can aid in decisions about the type, quantity, and specific choice of markers for use in studies of ancestry.

Indexed as

Genetics, PopulationModels, GeneticPedigreeAlgorithmsData Interpretation, StatisticalGenetic MarkersHumansSensitivity and SpecificityGenetic Markers

Identifiers

PMID14631557
PMCPMC1180403

What OpenQuestion holds

Textmetadata
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.