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The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis
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 po...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2746319/ https://www.ncbi.nlm.nih.gov/pubmed/19798439 http://dx.doi.org/10.1371/journal.pgen.1000628 |
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author | Visscher, Peter M. Hill, William G. |
author_facet | Visscher, Peter M. Hill, William G. |
author_sort | Visscher, Peter M. |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2746319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27463192009-10-02 The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis Visscher, Peter M. Hill, William G. PLoS Genet Research Article 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. Public Library of Science 2009-10-02 /pmc/articles/PMC2746319/ /pubmed/19798439 http://dx.doi.org/10.1371/journal.pgen.1000628 Text en Visscher, Hill. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Visscher, Peter M. Hill, William G. The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title | The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title_full | The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title_fullStr | The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title_full_unstemmed | The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title_short | The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis |
title_sort | limits of individual identification from sample allele frequencies: theory and statistical analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2746319/ https://www.ncbi.nlm.nih.gov/pubmed/19798439 http://dx.doi.org/10.1371/journal.pgen.1000628 |
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