Evidence map›Paper›PMID 19798439›Full record

ArticlePLoS genetics2009

The limits of individual identification from sample allele frequencies: theory and statistical analysis.

Peter M Visscher, William G Hill

Abstract read
In one paragraph

Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
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  11. Identifying individuals using proteomics: are we there yet?Frontiers in molecular biosciences · 2022
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  13. Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons.Proceedings on Privacy Enhancing Technologies. Privacy Enhancing Technologies Symposium · 2021
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  15. Biomedical Research Cohort Membership Disclosure on Social Media.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  16. Review
  17. Article
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  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Peter M VisscherQueensland Institute of Medical Research, Brisbane, Australia. peter.visscher@qimr.edu.au
William G Hill

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It was shown recently using experimental data that it is possible under certain conditions to determine whether a person with known genotypes at a number of markers was part of a sample from which only allele frequencies are known. Using population genetic and statistical theory, we show that the power of such identification is, approximately, proportional to the number of independent SNPs divided by the size of the sample from which the allele frequencies are available. We quantify the limits of identification and propose likelihood and regression analysis methods for the analysis of data. We show that these methods have similar statistical properties and have more desirable properties, in terms of type-I error rate and statistical power, than test statistics suggested in the literature.

Indexed as

Gene FrequencyGenetics, PopulationGenotypeHumansModels, GeneticModels, StatisticalPolymorphism, Single Nucleotide

Identifiers

PMID19798439
PMCPMC2746319

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.