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Impact of DNA source on genetic variant detection from human whole-genome sequencing data
BACKGROUND: Whole blood is currently the most common DNA source for whole-genome sequencing (WGS), but for studies requiring non-invasive collection, self-collection, greater sample stability or additional tissue references, saliva or buccal samples may be preferred. However, the relative quality of...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929712/ https://www.ncbi.nlm.nih.gov/pubmed/31515274 http://dx.doi.org/10.1136/jmedgenet-2019-106281 |
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author | Trost, Brett Walker, Susan Haider, Syed A Sung, Wilson W L Pereira, Sergio Phillips, Charly L Higginbotham, Edward J Strug, Lisa J Nguyen, Charlotte Raajkumar, Akshaya Szego, Michael J Marshall, Christian R Scherer, Stephen W |
author_facet | Trost, Brett Walker, Susan Haider, Syed A Sung, Wilson W L Pereira, Sergio Phillips, Charly L Higginbotham, Edward J Strug, Lisa J Nguyen, Charlotte Raajkumar, Akshaya Szego, Michael J Marshall, Christian R Scherer, Stephen W |
author_sort | Trost, Brett |
collection | PubMed |
description | BACKGROUND: Whole blood is currently the most common DNA source for whole-genome sequencing (WGS), but for studies requiring non-invasive collection, self-collection, greater sample stability or additional tissue references, saliva or buccal samples may be preferred. However, the relative quality of sequencing data and accuracy of genetic variant detection from blood-derived, saliva-derived and buccal-derived DNA need to be thoroughly investigated. METHODS: Matched blood, saliva and buccal samples from four unrelated individuals were used to compare sequencing metrics and variant-detection accuracy among these DNA sources. RESULTS: We observed significant differences among DNA sources for sequencing quality metrics such as percentage of reads aligned and mean read depth (p<0.05). Differences were negligible in the accuracy of detecting short insertions and deletions; however, the false positive rate for single nucleotide variation detection was slightly higher in some saliva and buccal samples. The sensitivity of copy number variant (CNV) detection was up to 25% higher in blood samples, depending on CNV size and type, and appeared to be worse in saliva and buccal samples with high bacterial concentration. We also show that methylation-based enrichment for eukaryotic DNA in saliva and buccal samples increased alignment rates but also reduced read-depth uniformity, hampering CNV detection. CONCLUSION: For WGS, we recommend using DNA extracted from blood rather than saliva or buccal swabs; if saliva or buccal samples are used, we recommend against using methylation-based eukaryotic DNA enrichment. All data used in this study are available for further open-science investigation. |
format | Online Article Text |
id | pubmed-6929712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69297122020-01-06 Impact of DNA source on genetic variant detection from human whole-genome sequencing data Trost, Brett Walker, Susan Haider, Syed A Sung, Wilson W L Pereira, Sergio Phillips, Charly L Higginbotham, Edward J Strug, Lisa J Nguyen, Charlotte Raajkumar, Akshaya Szego, Michael J Marshall, Christian R Scherer, Stephen W J Med Genet Methods BACKGROUND: Whole blood is currently the most common DNA source for whole-genome sequencing (WGS), but for studies requiring non-invasive collection, self-collection, greater sample stability or additional tissue references, saliva or buccal samples may be preferred. However, the relative quality of sequencing data and accuracy of genetic variant detection from blood-derived, saliva-derived and buccal-derived DNA need to be thoroughly investigated. METHODS: Matched blood, saliva and buccal samples from four unrelated individuals were used to compare sequencing metrics and variant-detection accuracy among these DNA sources. RESULTS: We observed significant differences among DNA sources for sequencing quality metrics such as percentage of reads aligned and mean read depth (p<0.05). Differences were negligible in the accuracy of detecting short insertions and deletions; however, the false positive rate for single nucleotide variation detection was slightly higher in some saliva and buccal samples. The sensitivity of copy number variant (CNV) detection was up to 25% higher in blood samples, depending on CNV size and type, and appeared to be worse in saliva and buccal samples with high bacterial concentration. We also show that methylation-based enrichment for eukaryotic DNA in saliva and buccal samples increased alignment rates but also reduced read-depth uniformity, hampering CNV detection. CONCLUSION: For WGS, we recommend using DNA extracted from blood rather than saliva or buccal swabs; if saliva or buccal samples are used, we recommend against using methylation-based eukaryotic DNA enrichment. All data used in this study are available for further open-science investigation. BMJ Publishing Group 2019-12 2019-09-12 /pmc/articles/PMC6929712/ /pubmed/31515274 http://dx.doi.org/10.1136/jmedgenet-2019-106281 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Methods Trost, Brett Walker, Susan Haider, Syed A Sung, Wilson W L Pereira, Sergio Phillips, Charly L Higginbotham, Edward J Strug, Lisa J Nguyen, Charlotte Raajkumar, Akshaya Szego, Michael J Marshall, Christian R Scherer, Stephen W Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title | Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title_full | Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title_fullStr | Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title_full_unstemmed | Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title_short | Impact of DNA source on genetic variant detection from human whole-genome sequencing data |
title_sort | impact of dna source on genetic variant detection from human whole-genome sequencing data |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929712/ https://www.ncbi.nlm.nih.gov/pubmed/31515274 http://dx.doi.org/10.1136/jmedgenet-2019-106281 |
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