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hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets

The analysis of contiguous homozygosity (runs of homozygous loci) in human genotyping datasets is critical in the search for causal disease variants in monogenic disorders, studies of population history and the identification of targets of natural selection. Here, we report methods for extracting ho...

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Detalles Bibliográficos
Autores principales: Johnson, Todd A, Niimura, Yoshihito, Tanaka, Hiroshi, Nakamura, Yusuke, Tsunoda, Tatsuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129671/
https://www.ncbi.nlm.nih.gov/pubmed/21396103
http://dx.doi.org/10.1186/gb-2011-12-3-r21
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author Johnson, Todd A
Niimura, Yoshihito
Tanaka, Hiroshi
Nakamura, Yusuke
Tsunoda, Tatsuhiko
author_facet Johnson, Todd A
Niimura, Yoshihito
Tanaka, Hiroshi
Nakamura, Yusuke
Tsunoda, Tatsuhiko
author_sort Johnson, Todd A
collection PubMed
description The analysis of contiguous homozygosity (runs of homozygous loci) in human genotyping datasets is critical in the search for causal disease variants in monogenic disorders, studies of population history and the identification of targets of natural selection. Here, we report methods for extracting homozygous segments from high-density genotyping datasets, quantifying their local genomic structure, identifying outstanding regions within the genome and visualizing results for comparative analysis between population samples.
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spelling pubmed-31296712011-07-06 hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets Johnson, Todd A Niimura, Yoshihito Tanaka, Hiroshi Nakamura, Yusuke Tsunoda, Tatsuhiko Genome Biol Method The analysis of contiguous homozygosity (runs of homozygous loci) in human genotyping datasets is critical in the search for causal disease variants in monogenic disorders, studies of population history and the identification of targets of natural selection. Here, we report methods for extracting homozygous segments from high-density genotyping datasets, quantifying their local genomic structure, identifying outstanding regions within the genome and visualizing results for comparative analysis between population samples. BioMed Central 2011 2011-03-11 /pmc/articles/PMC3129671/ /pubmed/21396103 http://dx.doi.org/10.1186/gb-2011-12-3-r21 Text en Copyright ©2011 Johnson et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Johnson, Todd A
Niimura, Yoshihito
Tanaka, Hiroshi
Nakamura, Yusuke
Tsunoda, Tatsuhiko
hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title_full hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title_fullStr hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title_full_unstemmed hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title_short hzAnalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
title_sort hzanalyzer: detection, quantification, and visualization of contiguous homozygosity in high-density genotyping datasets
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129671/
https://www.ncbi.nlm.nih.gov/pubmed/21396103
http://dx.doi.org/10.1186/gb-2011-12-3-r21
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