Evidence map›Paper›PMID 21765009›Full record

ArticleGenome research2012

Single-step capture and sequencing of natural DNA for detection of BRCA1 mutations.

John F Thompson, Jeffrey G Reifenberger, Eldar Giladi, Kristen Kerouac, Jaime Gill, Erik Hansen, Avak Kahvejian, Philipp Kapranov, Travis Knope, Doron Lipson and 2 more

Abstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. PALB2 and breast cancer: ready for clinical translation!The application of clinical genetics · 2013
    Article
  7. Article
  8. Review
  9. Article
  10. Genomic sequencing in clinical trials.Journal of translational medicine · 2011
    Review
  11. 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

12 authors.

John F ThompsonHelicos BioSciences Corporation, Cambridge, Massachusetts 02139, USA. jthompson@helicosbio.com
Jeffrey G Reifenberger
Eldar Giladi
Kristen Kerouac
Jaime Gill
Erik Hansen
Avak Kahvejian
Philipp Kapranov
Travis Knope
Doron Lipson
Kathleen E Steinmann
Patrice M Milos

Funding

Providing the $1000 genome via improved single molecule sequencingRC2HG005598 · NHGRI · HELICOS BIOSCIENCE CORPORATION · PI THOMPSON, JOHN FENTON · 2009 to 2010
$2.9M
NHGRI NIH HHS RC2 HG005598
6 · The paper itself

Abstract

Genetic testing for disease risk is an increasingly important component of medical care. However, testing can be expensive, which can lead to patients and physicians having limited access to the genetic information needed for medical decisions. To simplify DNA sample preparation and lower costs, we have developed a system in which any gene can be captured and sequenced directly from human genomic DNA without amplification, using no proteins or enzymes prior to sequencing. Extracted whole-genome DNA is acoustically sheared and loaded in a flow cell channel for single-molecule sequencing. Gene isolation, amplification, or ligation is not necessary. Accurate and low-cost detection of DNA sequence variants is demonstrated for the BRCA1 gene. Disease-causing mutations as well as common variants from well-characterized samples are identified. Single-molecule sequencing generates very reproducible coverage patterns, and these can be used to detect any size insertion or deletion directly, unlike PCR-based methods, which require additional assays. Because no gene isolation or amplification is required for sequencing, the exceptionally low costs of sample preparation and analysis could make genetic tests more accessible to those who wish to know their own disease susceptibility. Additionally, this approach has applications for sequencing integration sites for gene therapy vectors, transposons, retroviruses, and other mobile DNA elements in a more facile manner than possible with other methods.

Indexed as

Genes, BRCA1MutationBase SequenceCell Line, TumorDNA Mutational AnalysisExonsHumansMolecular Sequence DataPolymorphism, Single NucleotideSequence AlignmentSequence Deletion

Identifiers

PMID21765009
PMCPMC3266041

What OpenQuestion holds

Textmetadata
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.