Evidence map›Paper›PMID 36047340›Full record

ArticleHuman mutation2022

Phasing of de novo mutations using a scaled-up multiple amplicon long-read sequencing approach.

Giles S Holt, Lois E Batty, Bilal K S Alobaidi, Hannah E Smith, Manon S Oud, Liliana Ramos, Miguel J Xavier, Joris A Veltman

Open access · hybridAbstract read
In one paragraph

Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Giles S HoltBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-7494-3736
Lois E BattyBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Bilal K S AlobaidiBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Hannah E SmithBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Manon S OudDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0001-9513-3030
Liliana RamosDepartment of Obstetrics and Gynecology, Division of Reproductive Medicine, Radboudumc, Nijmegen, The Netherlands.
Miguel J XavierBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-0709-7223
Joris A VeltmanBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-3218-8250
Newcastle University · GBRadboud University Nijmegen · NL

Funding

Wellcome Trust 209451/Z/17/Z
6 · The paper itself

Abstract

De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand their role in disease, it is important to determine the parent-of-origin and timing of mutational events that give rise to these mutations, especially in sex-specific developmental disorders such as male infertility. However, currently available short-read sequencing approaches are not ideally suited for phasing, as this requires long continuous DNA strands that span both the DNM and one or more informative single-nucleotide polymorphisms. To overcome these challenges, we optimized and implemented a multiplexed long-read sequencing approach using Oxford Nanopore technologies MinION platform. We focused on improving target amplification, integrating long-read sequenced data with high-quality short-read sequence data, and developing an anchored phasing computational method. This approach handled the inherent phasing challenges of long-range target amplification and the normal accumulation of sequencing error associated with long-read sequencing. In total, 77 of 109 DNMs (71%) were successfully phased and parent-of-origin identified. The majority of phased DNMs were prezygotic (90%), the accuracy of which is highlighted by an average mutant allele frequency of 49.6% and standard error of 0.84%. This study demonstrates the benefits of employing an integrated short-read and long-read sequencing approach for large-scale DNM phasing.

Indexed as

High-Throughput Nucleotide SequencingFemaleHumansMaleMutationPolymorphism, Single NucleotideSequence Analysis, DNADNMlong-read sequencingparent-of-originphasingtargeted sequencingWES

Identifiers

PMID36047340
PMCPMC9826063
OpenAlexW4294123097

What OpenQuestion holds

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LicenceCC BY
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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.