Evidence map›Paper›PMID 39143154›Full record

ArticleScientific reports2024

Saliva-derived DNA is suitable for the detection of clonal haematopoiesis of indeterminate potential.

Robert L O'Reilly, Jared Burke, Philip Harraka, Paul Yeh, Kerryn Howlett, Kiarash Behrouzfar, Amanda Rewse, Helen Tsimiklis, Graham G Giles, Kristen J Bubb and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Robert L O'ReillyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Jared BurkePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Philip HarrakaPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Paul YehMonash Haematology, Clayton, VIC, Australia.
Kerryn HowlettPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Kiarash BehrouzfarDepartment of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Amanda RewsePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Helen TsimiklisPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Kristen J BubbVictorian Heart Institute, Monash University, Clayton, VIC, Australia.
Stephen J NichollsVictorian Heart Institute, Monash University, Clayton, VIC, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia. melissa.southey@monash.edu.

Funding

Australian Medical Research Future Fund GNT2016221National Health Medical Research Council GNT2017325
6 · The paper itself

Abstract

Clonal haematopoiesis of indeterminate potential (CHIP) has been associated with many adverse health outcomes. However, further research is required to understand the critical genes and pathways relevant to CHIP subtypes, evaluate how CHIP clones evolve with time, and further advance functional characterisation and therapeutic studies. Large epidemiological studies are well placed to address these questions but often collect saliva rather than blood from participants. Paired saliva- and blood-derived DNA samples from 94 study participants were sequenced using a targeted CHIP-gene panel. The ten genes most frequently identified to carry CHIP-associated variants were analysed. Fourteen unique variants associated with CHIP, ten in DNMT3A, two in TP53 and two in TET2, were identified with a variant allele fraction (VAF) between 0.02 and 0.2 and variant depth ≥ 5 reads. Eleven of these CHIP-associated variants were detected in both the blood- and saliva-derived DNA sample. Three variants were detected in blood with a VAF > 0.02 but fell below this threshold in the paired saliva sample (VAF 0.008-0.013). Saliva-derived DNA is suitable for detecting CHIP-associated variants. Saliva can offer a cost-effective biospecimen that could both advance CHIP research and facilitate clinical translation into settings such as risk prediction, precision prevention, and treatment monitoring.

Indexed as

Clonal HematopoiesisDNA-Binding ProteinsDNA Methyltransferase 3ASalivaAdultAgedAllelesDioxygenasesDNADNA (Cytosine-5-)-MethyltransferasesFemaleHumansMaleMiddle AgedProto-Oncogene ProteinsTumor Suppressor Protein p53DioxygenasesDNADNA-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNMT3A protein, humanProto-Oncogene ProteinsTET2 protein, humanTP53 protein, humanTumor Suppressor Protein p53BloodCHIPClonal haematopoiesisNext generation sequencingSalivaSomatic mutations

Identifiers

PMID39143154
PMCPMC11324896

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Registered trials

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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.