LASER server: ancestry tracing with genotypes or sequence reads

SUMMARY: To enable direct comparison of ancestry background in different studies, we developed LASER to estimate individual ancestry by placing either sezquenced or genotyped samples in a common ancestry space, regardless of the sequencing strategy or genotyping array used to characterize each sampl...

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Autores principales: Taliun, Daniel, Chothani, Sonia P, Schönherr, Sebastian, Forer, Lukas, Boehnke, Michael, Abecasis, Gonçalo R, Wang, Chaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870850/
https://www.ncbi.nlm.nih.gov/pubmed/28200055
http://dx.doi.org/10.1093/bioinformatics/btx075
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author Taliun, Daniel
Chothani, Sonia P
Schönherr, Sebastian
Forer, Lukas
Boehnke, Michael
Abecasis, Gonçalo R
Wang, Chaolong
author_facet Taliun, Daniel
Chothani, Sonia P
Schönherr, Sebastian
Forer, Lukas
Boehnke, Michael
Abecasis, Gonçalo R
Wang, Chaolong
author_sort Taliun, Daniel
collection PubMed
description SUMMARY: To enable direct comparison of ancestry background in different studies, we developed LASER to estimate individual ancestry by placing either sezquenced or genotyped samples in a common ancestry space, regardless of the sequencing strategy or genotyping array used to characterize each sample. Here we describe the LASER server to facilitate application of the method to a wide range of genetic studies. The server provides genetic ancestry estimation for different geographic regions and user-friendly interactive visualization of the results. AVAILABILITY AND IMPLEMENTATION: The LASER server is freely accessible at http://laser.sph.umich.edu/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58708502018-03-29 LASER server: ancestry tracing with genotypes or sequence reads Taliun, Daniel Chothani, Sonia P Schönherr, Sebastian Forer, Lukas Boehnke, Michael Abecasis, Gonçalo R Wang, Chaolong Bioinformatics Applications Notes SUMMARY: To enable direct comparison of ancestry background in different studies, we developed LASER to estimate individual ancestry by placing either sezquenced or genotyped samples in a common ancestry space, regardless of the sequencing strategy or genotyping array used to characterize each sample. Here we describe the LASER server to facilitate application of the method to a wide range of genetic studies. The server provides genetic ancestry estimation for different geographic regions and user-friendly interactive visualization of the results. AVAILABILITY AND IMPLEMENTATION: The LASER server is freely accessible at http://laser.sph.umich.edu/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-07-01 2017-02-14 /pmc/articles/PMC5870850/ /pubmed/28200055 http://dx.doi.org/10.1093/bioinformatics/btx075 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Taliun, Daniel
Chothani, Sonia P
Schönherr, Sebastian
Forer, Lukas
Boehnke, Michael
Abecasis, Gonçalo R
Wang, Chaolong
LASER server: ancestry tracing with genotypes or sequence reads
title LASER server: ancestry tracing with genotypes or sequence reads
title_full LASER server: ancestry tracing with genotypes or sequence reads
title_fullStr LASER server: ancestry tracing with genotypes or sequence reads
title_full_unstemmed LASER server: ancestry tracing with genotypes or sequence reads
title_short LASER server: ancestry tracing with genotypes or sequence reads
title_sort laser server: ancestry tracing with genotypes or sequence reads
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870850/
https://www.ncbi.nlm.nih.gov/pubmed/28200055
http://dx.doi.org/10.1093/bioinformatics/btx075
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