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Reference exome data for a Northern Brazilian population

Exome sequencing is widely used in the diagnosis of rare genetic diseases and provides useful variant data for analysis of complex diseases. There is not always adequate population-specific reference data to assist in assigning a diagnostic variant to a specific clinical condition. Here we provide a...

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Autores principales: Weeks, Alexia L., Francis, Richard W., Neri, Joao I. C. F., Costa, Nathaly M. C., Arrais, Nivea M. R., Lassmann, Timo, Blackwell, Jenefer M., Jeronimo, Selma M. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578642/
https://www.ncbi.nlm.nih.gov/pubmed/33087711
http://dx.doi.org/10.1038/s41597-020-00703-y
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author Weeks, Alexia L.
Francis, Richard W.
Neri, Joao I. C. F.
Costa, Nathaly M. C.
Arrais, Nivea M. R.
Lassmann, Timo
Blackwell, Jenefer M.
Jeronimo, Selma M. B.
author_facet Weeks, Alexia L.
Francis, Richard W.
Neri, Joao I. C. F.
Costa, Nathaly M. C.
Arrais, Nivea M. R.
Lassmann, Timo
Blackwell, Jenefer M.
Jeronimo, Selma M. B.
author_sort Weeks, Alexia L.
collection PubMed
description Exome sequencing is widely used in the diagnosis of rare genetic diseases and provides useful variant data for analysis of complex diseases. There is not always adequate population-specific reference data to assist in assigning a diagnostic variant to a specific clinical condition. Here we provide a catalogue of variants called after sequencing the exomes of 45 babies from Rio Grande do Nord in Brazil. Sequence data were processed using an ‘intersect-then-combine’ (ITC) approach, using GATK and SAMtools to call variants. A total of 612,761 variants were identified in at least one individual in this Brazilian Cohort, including 559,448 single nucleotide variants (SNVs) and 53,313 insertion/deletions. Of these, 58,111 overlapped with nonsynonymous (nsSNVs) or splice site (ssSNVs) SNVs in dbNSFP. As an aid to clinical diagnosis of rare diseases, we used the American College of Medicine Genetics and Genomics (ACMG) guidelines to assign pathogenic/likely pathogenic status to 185 (0.32%) of the 58,111 nsSNVs and ssSNVs. Our data set provides a useful reference point for diagnosis of rare diseases in Brazil. (169 words).
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spelling pubmed-75786422020-10-23 Reference exome data for a Northern Brazilian population Weeks, Alexia L. Francis, Richard W. Neri, Joao I. C. F. Costa, Nathaly M. C. Arrais, Nivea M. R. Lassmann, Timo Blackwell, Jenefer M. Jeronimo, Selma M. B. Sci Data Data Descriptor Exome sequencing is widely used in the diagnosis of rare genetic diseases and provides useful variant data for analysis of complex diseases. There is not always adequate population-specific reference data to assist in assigning a diagnostic variant to a specific clinical condition. Here we provide a catalogue of variants called after sequencing the exomes of 45 babies from Rio Grande do Nord in Brazil. Sequence data were processed using an ‘intersect-then-combine’ (ITC) approach, using GATK and SAMtools to call variants. A total of 612,761 variants were identified in at least one individual in this Brazilian Cohort, including 559,448 single nucleotide variants (SNVs) and 53,313 insertion/deletions. Of these, 58,111 overlapped with nonsynonymous (nsSNVs) or splice site (ssSNVs) SNVs in dbNSFP. As an aid to clinical diagnosis of rare diseases, we used the American College of Medicine Genetics and Genomics (ACMG) guidelines to assign pathogenic/likely pathogenic status to 185 (0.32%) of the 58,111 nsSNVs and ssSNVs. Our data set provides a useful reference point for diagnosis of rare diseases in Brazil. (169 words). Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578642/ /pubmed/33087711 http://dx.doi.org/10.1038/s41597-020-00703-y Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Weeks, Alexia L.
Francis, Richard W.
Neri, Joao I. C. F.
Costa, Nathaly M. C.
Arrais, Nivea M. R.
Lassmann, Timo
Blackwell, Jenefer M.
Jeronimo, Selma M. B.
Reference exome data for a Northern Brazilian population
title Reference exome data for a Northern Brazilian population
title_full Reference exome data for a Northern Brazilian population
title_fullStr Reference exome data for a Northern Brazilian population
title_full_unstemmed Reference exome data for a Northern Brazilian population
title_short Reference exome data for a Northern Brazilian population
title_sort reference exome data for a northern brazilian population
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578642/
https://www.ncbi.nlm.nih.gov/pubmed/33087711
http://dx.doi.org/10.1038/s41597-020-00703-y
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