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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Peter M Visscher, William G Hill
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2009
Materias:
Acceso en línea:https://doaj.org/article/f9da9c5668d146f490cf96c23cd785b5
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f9da9c5668d146f490cf96c23cd785b5
record_format dspace
spelling oai:doaj.org-article:f9da9c5668d146f490cf96c23cd785b52021-11-25T05:53:05ZThe limits of individual identification from sample allele frequencies: theory and statistical analysis.1553-73901553-740410.1371/journal.pgen.1000628https://doaj.org/article/f9da9c5668d146f490cf96c23cd785b52009-10-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19798439/pdf/?tool=EBIhttps://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404It 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.Peter M VisscherWilliam G HillPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 5, Iss 10, p e1000628 (2009)
institution DOAJ
collection DOAJ
language EN
topic Genetics
QH426-470
spellingShingle Genetics
QH426-470
Peter M Visscher
William G Hill
The limits of individual identification from sample allele frequencies: theory and statistical analysis.
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 article
author Peter M Visscher
William G Hill
author_facet Peter M Visscher
William G Hill
author_sort Peter M Visscher
title 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_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_sort limits of individual identification from sample allele frequencies: theory and statistical analysis.
publisher Public Library of Science (PLoS)
publishDate 2009
url https://doaj.org/article/f9da9c5668d146f490cf96c23cd785b5
work_keys_str_mv AT petermvisscher thelimitsofindividualidentificationfromsampleallelefrequenciestheoryandstatisticalanalysis
AT williamghill thelimitsofindividualidentificationfromsampleallelefrequenciestheoryandstatisticalanalysis
AT petermvisscher limitsofindividualidentificationfromsampleallelefrequenciestheoryandstatisticalanalysis
AT williamghill limitsofindividualidentificationfromsampleallelefrequenciestheoryandstatisticalanalysis
_version_ 1718414437425086464