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A population-specific reference panel for improved genotype imputation in African Americans

There is currently a dearth of accessible whole genome sequencing (WGS) data for individuals residing in the Americas with Sub-Saharan African ancestry. We generated whole genome sequencing data at intermediate (15×) coverage for 2,294 individuals with large amounts of Sub-Saharan African ancestry,...

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Autores principales: O’Connell, Jared, Yun, Taedong, Moreno, Meghan, Li, Helen, Litterman, Nadia, Kolesnikov, Alexey, Noblin, Elizabeth, Chang, Pi-Chuan, Shastri, Anjali, Dorfman, Elizabeth H., Shringarpure, Suyash, Auton, Adam, Carroll, Andrew, McLean, Cory Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571350/
https://www.ncbi.nlm.nih.gov/pubmed/34741098
http://dx.doi.org/10.1038/s42003-021-02777-9
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author O’Connell, Jared
Yun, Taedong
Moreno, Meghan
Li, Helen
Litterman, Nadia
Kolesnikov, Alexey
Noblin, Elizabeth
Chang, Pi-Chuan
Shastri, Anjali
Dorfman, Elizabeth H.
Shringarpure, Suyash
Auton, Adam
Carroll, Andrew
McLean, Cory Y.
author_facet O’Connell, Jared
Yun, Taedong
Moreno, Meghan
Li, Helen
Litterman, Nadia
Kolesnikov, Alexey
Noblin, Elizabeth
Chang, Pi-Chuan
Shastri, Anjali
Dorfman, Elizabeth H.
Shringarpure, Suyash
Auton, Adam
Carroll, Andrew
McLean, Cory Y.
author_sort O’Connell, Jared
collection PubMed
description There is currently a dearth of accessible whole genome sequencing (WGS) data for individuals residing in the Americas with Sub-Saharan African ancestry. We generated whole genome sequencing data at intermediate (15×) coverage for 2,294 individuals with large amounts of Sub-Saharan African ancestry, predominantly Atlantic African admixed with varying amounts of European and American ancestry. We performed extensive comparisons of variant callers, phasing algorithms, and variant filtration on these data to construct a high quality imputation panel containing data from 2,269 unrelated individuals. With the exception of the TOPMed imputation server (which notably cannot be downloaded), our panel substantially outperformed other available panels when imputing African American individuals. The raw sequencing data, variant calls and imputation panel for this cohort are all freely available via dbGaP and should prove an invaluable resource for further study of admixed African genetics.
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spelling pubmed-85713502021-11-15 A population-specific reference panel for improved genotype imputation in African Americans O’Connell, Jared Yun, Taedong Moreno, Meghan Li, Helen Litterman, Nadia Kolesnikov, Alexey Noblin, Elizabeth Chang, Pi-Chuan Shastri, Anjali Dorfman, Elizabeth H. Shringarpure, Suyash Auton, Adam Carroll, Andrew McLean, Cory Y. Commun Biol Article There is currently a dearth of accessible whole genome sequencing (WGS) data for individuals residing in the Americas with Sub-Saharan African ancestry. We generated whole genome sequencing data at intermediate (15×) coverage for 2,294 individuals with large amounts of Sub-Saharan African ancestry, predominantly Atlantic African admixed with varying amounts of European and American ancestry. We performed extensive comparisons of variant callers, phasing algorithms, and variant filtration on these data to construct a high quality imputation panel containing data from 2,269 unrelated individuals. With the exception of the TOPMed imputation server (which notably cannot be downloaded), our panel substantially outperformed other available panels when imputing African American individuals. The raw sequencing data, variant calls and imputation panel for this cohort are all freely available via dbGaP and should prove an invaluable resource for further study of admixed African genetics. Nature Publishing Group UK 2021-11-05 /pmc/articles/PMC8571350/ /pubmed/34741098 http://dx.doi.org/10.1038/s42003-021-02777-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
O’Connell, Jared
Yun, Taedong
Moreno, Meghan
Li, Helen
Litterman, Nadia
Kolesnikov, Alexey
Noblin, Elizabeth
Chang, Pi-Chuan
Shastri, Anjali
Dorfman, Elizabeth H.
Shringarpure, Suyash
Auton, Adam
Carroll, Andrew
McLean, Cory Y.
A population-specific reference panel for improved genotype imputation in African Americans
title A population-specific reference panel for improved genotype imputation in African Americans
title_full A population-specific reference panel for improved genotype imputation in African Americans
title_fullStr A population-specific reference panel for improved genotype imputation in African Americans
title_full_unstemmed A population-specific reference panel for improved genotype imputation in African Americans
title_short A population-specific reference panel for improved genotype imputation in African Americans
title_sort population-specific reference panel for improved genotype imputation in african americans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571350/
https://www.ncbi.nlm.nih.gov/pubmed/34741098
http://dx.doi.org/10.1038/s42003-021-02777-9
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