Evidence map›Paper›PMID 31515274›Full record

ArticleJournal of medical genetics2019

Impact of DNA source on genetic variant detection from human whole-genome sequencing data.

Brett Trost, Susan Walker, Syed A Haider, Wilson W L Sung, Sergio Pereira, Charly L Phillips, Edward J Higginbotham, Lisa J Strug, Charlotte Nguyen, Akshaya Raajkumar and 3 more

Abstract read
In one paragraph

Article in Journal of medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Brett TrostThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0003-4863-7273
Susan WalkerThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Syed A HaiderThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Wilson W L SungThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Sergio PereiraThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Charly L PhillipsThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Edward J HigginbothamThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0003-1881-9308
Lisa J StrugThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Charlotte NguyenThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Akshaya RaajkumarThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada.
Michael J SzegoDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Christian R MarshallDepartment of Paediatric Laboratory Medicine, Genome Diagnostics, Hospital for Sick Children, Toronto, Ontario, Canada.
Stephen W SchererThe Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario, Canada stephen.scherer@sickkids.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole 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.

methodsMatched blood, saliva and buccal samples from four unrelated individuals were used to compare sequencing metrics and variant-detection accuracy among these DNA sources.

resultsWe 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.

conclusionFor 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.

Indexed as

AdultDNADNA Copy Number VariationsDNA MethylationFemaleGenotypeHumansMaleMiddle AgedMouth MucosaPolymorphism, Single NucleotideSalivaSequence Analysis, DNAWhole Genome SequencingDNAbloodbuccaldna sourcesalivawhole-genome sequencing

Identifiers

PMID31515274
PMCPMC6929712

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.