Evidence map›Paper›PMID 26927186›Full record

ArticleJournal of personalized medicine2016

Bioinformatics Workflow for Clinical Whole Genome Sequencing at Partners HealthCare Personalized Medicine.

Ellen A Tsai, Rimma Shakbatyan, Jason Evans, Peter Rossetti, Chet Graham, Himanshu Sharma, Chiao-Feng Lin, Matthew S Lebo

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Genomics and electronic health record systems.Human molecular genetics · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Ellen A TsaiPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. etsai3@partners.org.
Rimma ShakbatyanPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. rshakhbatyan@partners.org.
Jason EvansPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. jason.evans@courtagen.com.
Peter RossettiPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. prossetti@partners.org.
Chet GrahamPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. cgraham@geneinsight.com.
Himanshu SharmaPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. hsharma@partners.org.
Chiao-Feng LinPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. cflin@partners.org.
Matthew S LeboPersonalized Medicine, Partners HealthCare, Cambridge, MA 02139, USA. mlebo@partners.org.

Funding

Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
NHGRI NIH HHS U01 HG006500
6 · The paper itself

Abstract

Effective implementation of precision medicine will be enhanced by a thorough understanding of each patient's genetic composition to better treat his or her presenting symptoms or mitigate the onset of disease. This ideally includes the sequence information of a complete genome for each individual. At Partners HealthCare Personalized Medicine, we have developed a clinical process for whole genome sequencing (WGS) with application in both healthy individuals and those with disease. In this manuscript, we will describe our bioinformatics strategy to efficiently process and deliver genomic data to geneticists for clinical interpretation. We describe the handling of data from FASTQ to the final variant list for clinical review for the final report. We will also discuss our methodology for validating this workflow and the cost implications of running WGS.

Indexed as

bioinformaticsclinical sequencingnext generation sequencingNGSprecision medicinevalidationWGS

Identifiers

PMID26927186
PMCPMC4810391

What OpenQuestion holds

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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.