Evidence map›Paper›PMID 34591958›Full record

ArticleNucleic acids research2022

Duplex-Repair enables highly accurate sequencing, despite DNA damage.

Kan Xiong, Douglas Shea, Justin Rhoades, Timothy Blewett, Ruolin Liu, Jin H Bae, Erica Nguyen, G Mike Makrigiorgos, Todd R Golub, Viktor A Adalsteinsson

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

10 authors.

Kan XiongBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-0639-5803
Douglas SheaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Justin RhoadesBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Timothy BlewettBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Ruolin LiuBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Jin H BaeBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Erica NguyenBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
G Mike MakrigiorgosBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-7598-2406
Todd R GolubBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Viktor A AdalsteinssonBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate DNA sequencing is crucial in biomedicine. Underlying the most accurate methods is the assumption that a mutation is true if altered bases are present on both strands of the DNA duplex. We now show that this assumption can be wrong. We establish that current methods to prepare DNA for sequencing, via 'End Repair/dA-Tailing,' may substantially resynthesize strands, leading amplifiable lesions or alterations on one strand to become indiscernible from true mutations on both strands. Indeed, we discovered that 7-17% and 32-57% of interior 'duplex base pairs' from cell-free DNA and formalin-fixed tumor biopsies, respectively, could be resynthesized in vitro and potentially introduce false mutations. To address this, we present Duplex-Repair, and show that it limits interior duplex base pair resynthesis by 8- to 464-fold, rescues the impact of induced DNA damage, and affords up to 8.9-fold more accurate duplex sequencing. Our study uncovers a major Achilles' heel in sequencing and offers a solution to restore high accuracy.

Indexed as

Breast NeoplasmsDNAFemaleHigh-Throughput Nucleotide SequencingHumansMolecular StructureSequence Analysis, DNADNA

Identifiers

PMID34591958
PMCPMC8755016

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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.