Evidence map›Paper›PMID 30561437›Full record

ArticleBladder cancer (Amsterdam, Netherlands)2015

High-throughput DNA Sequencing Identifies Novel

Sarah J Jevons, Angela Green, Gerton Lunter, Christiana Kartsonaki, David Buck, Paolo Piazza, Anne E Kiltie

Open access · hybridAbstract read
In one paragraph

Article in Bladder cancer (Amsterdam, Netherlands), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 2 institutions in 1 country.

Sarah J JevonsCRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK.
Angela GreenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Gerton LunterWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Christiana KartsonakiCRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK.
David BuckWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Paolo PiazzaWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Anne E KiltieCRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK.
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

Cancer Research UK 12933Medical Research Council G0900747Wellcome Trust
6 · The paper itself

Abstract

backgroundGermline mutations in DNA damage signalling and repair genes predispose individuals to cancer. Rare germline variants may also increase cancer risk and be predictive of outcomes following cancer treatments, but require high-throughput sequencing (HTS) for detection in large cohorts.

objectiveTo use a dual indexing system on a HTS platform to detect novel variants in CtIP (RBBP8) which may be associated with clinical outcomes following radiotherapy treatment for bladder cancer.

methodsAll exons and flanking introns of CtIP were amplified from germline DNA from bladder cancer patients using seven primer pairs by automated long-range PCR. Amplicons were pooled, fragmented and ligated to adaptor sequences. One of 96 tag sequences was introduced at each end by PCR. Sequencing was performed on a single flow cell of an Illumina MiSeq. Reads were mapped by Stampy and variants called by Platypus. For phasing experiments, target regions were amplified and cloned for Sanger sequencing.

resultsOf 201 samples, 160 were successfully amplified. Eleven CtIP variants were called, within the exons and 15 bp adjacent intronic DNA, including eight known variants from the 1000 Genomes project, plus three previously unreported variants now confirmed by Sanger sequencing. In two individuals, phasing experiments showed two variants of interest to be on separate alleles, likely to result in stronger impairment of gene function.

conclusionsWe have demonstrated proof of principle for dual indexing on 160 samples on one MiSeq flow cell sequencing surface, and show that for the CtIP gene multiplexing of up to 720 samples would provide sufficient coverage to achieve >98% detection power for rare germline variation, reducing HTS costs substantially.

Indexed as

Biomarkersbladder cancerCtIPdual indexingnext generation sequencingradiotherapyRBBP8

Identifiers

PMID30561437
PMCPMC6218178
OpenAlexW1023012646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.