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Reference genotype and exome data from an Australian Aboriginal population for health-based research
Genetic analyses, including genome-wide association studies and whole exome sequencing (WES), provide powerful tools for the analysis of complex and rare genetic diseases. To date there are no reference data for Aboriginal Australians to underpin the translation of health-based genomic research. Her...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828942/ https://www.ncbi.nlm.nih.gov/pubmed/27070114 http://dx.doi.org/10.1038/sdata.2016.23 |
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author | Tang, Dave Anderson, Denise Francis, Richard W. Syn, Genevieve Jamieson, Sarra E. Lassmann, Timo Blackwell, Jenefer M. |
author_facet | Tang, Dave Anderson, Denise Francis, Richard W. Syn, Genevieve Jamieson, Sarra E. Lassmann, Timo Blackwell, Jenefer M. |
author_sort | Tang, Dave |
collection | PubMed |
description | Genetic analyses, including genome-wide association studies and whole exome sequencing (WES), provide powerful tools for the analysis of complex and rare genetic diseases. To date there are no reference data for Aboriginal Australians to underpin the translation of health-based genomic research. Here we provide a catalogue of variants called after sequencing the exomes of 72 Aboriginal individuals to a depth of 20X coverage in ∼80% of the sequenced nucleotides. We determined 320,976 single nucleotide variants (SNVs) and 47,313 insertions/deletions using the Genome Analysis Toolkit. We had previously genotyped a subset of the Aboriginal individuals (70/72) using the Illumina Omni2.5 BeadChip platform and found ~99% concordance at overlapping sites, which suggests high quality genotyping. Finally, we compared our SNVs to six publicly available variant databases, such as dbSNP and the Exome Sequencing Project, and 70,115 of our SNVs did not overlap any of the single nucleotide polymorphic sites in all the databases. Our data set provides a useful reference point for genomic studies on Aboriginal Australians. |
format | Online Article Text |
id | pubmed-4828942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48289422016-04-28 Reference genotype and exome data from an Australian Aboriginal population for health-based research Tang, Dave Anderson, Denise Francis, Richard W. Syn, Genevieve Jamieson, Sarra E. Lassmann, Timo Blackwell, Jenefer M. Sci Data Data Descriptor Genetic analyses, including genome-wide association studies and whole exome sequencing (WES), provide powerful tools for the analysis of complex and rare genetic diseases. To date there are no reference data for Aboriginal Australians to underpin the translation of health-based genomic research. Here we provide a catalogue of variants called after sequencing the exomes of 72 Aboriginal individuals to a depth of 20X coverage in ∼80% of the sequenced nucleotides. We determined 320,976 single nucleotide variants (SNVs) and 47,313 insertions/deletions using the Genome Analysis Toolkit. We had previously genotyped a subset of the Aboriginal individuals (70/72) using the Illumina Omni2.5 BeadChip platform and found ~99% concordance at overlapping sites, which suggests high quality genotyping. Finally, we compared our SNVs to six publicly available variant databases, such as dbSNP and the Exome Sequencing Project, and 70,115 of our SNVs did not overlap any of the single nucleotide polymorphic sites in all the databases. Our data set provides a useful reference point for genomic studies on Aboriginal Australians. Nature Publishing Group 2016-04-12 /pmc/articles/PMC4828942/ /pubmed/27070114 http://dx.doi.org/10.1038/sdata.2016.23 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Tang, Dave Anderson, Denise Francis, Richard W. Syn, Genevieve Jamieson, Sarra E. Lassmann, Timo Blackwell, Jenefer M. Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title | Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title_full | Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title_fullStr | Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title_full_unstemmed | Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title_short | Reference genotype and exome data from an Australian Aboriginal population for health-based research |
title_sort | reference genotype and exome data from an australian aboriginal population for health-based research |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828942/ https://www.ncbi.nlm.nih.gov/pubmed/27070114 http://dx.doi.org/10.1038/sdata.2016.23 |
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