Evidence map›Paper›PMID 33270363›Full record

ArticleAmerican journal of medical genetics. Part C, Seminars in medical genetics2021

Flype: Software for enabling personalized medicine.

Donald L Helseth, Kamalakar Gulukota, Nicholas Miller, Mathew Yang, Tom Werth, Linda M Sabatini, Mike Bouma, Henry M Dunnenberger, Dyson T Wake, Peter J Hulick and 2 more

Abstract read
In one paragraph

Article in American journal of medical genetics. Part C, Seminars in medical genetics, 2021. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Flype: Software for enabling personalized medicine.American journal of medical genetics. Part C, Seminars in medical genetics · 2021
    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.

Donald L HelsethMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.ORCID 0000-0001-9197-1934
Kamalakar GulukotaMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.
Nicholas MillerMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.
Mathew YangMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.
Tom WerthHealth Information Technology, NorthShore University HealthSystem, Skokie, Illinois, USA.
Linda M SabatiniDepartment of Pathology, NorthShore University HealthSystem, Evanston, Illinois, USA.
Mike BoumaDepartment of Pathology, NorthShore University HealthSystem, Evanston, Illinois, USA.
Henry M DunnenbergerMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.
Dyson T WakeMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.
Peter J HulickMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.ORCID 0000-0001-8397-4078
Karen L KaulDepartment of Pathology, NorthShore University HealthSystem, Evanston, Illinois, USA.
Janaradan D KhandekarMark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of next generation DNA sequencing (NGS) has revolutionized clinical medicine by enabling wide-spread testing for genomic anomalies and polymorphisms. With that explosion in testing, however, come several informatics challenges including managing large amounts of data, interpreting the results and providing clinical decision support. We present Flype, a web-based bioinformatics platform built by a small group of bioinformaticians working in a community hospital setting, to address these challenges by allowing us to: (a) securely accept data from a variety of sources, (b) send orders to a variety of destinations, (c) perform secondary analysis and annotation of NGS data, (d) provide a central repository for all genomic variants, (e) assist with tertiary analysis and clinical interpretation, (f) send signed out data to our EHR as both PDF and discrete data elements, (g) allow population frequency analysis and (h) update variant annotation when literature knowledge evolves. We discuss the multiple use cases Flype supports such as (a) in-house NGS tests, (b) in-house pharmacogenomics (PGX) tests, (c) dramatic scale-up of genomic testing using an external lab, (d) consumer genomics using two external partners, and (e) a variety of reporting tools. The source code for Flype is available upon request to the authors.

Indexed as

Precision MedicineSoftwareGenomicsHigh-Throughput Nucleotide SequencingHumansPharmacogeneticsbioinformaticsclinical decision supportEMR integrationpersonalized medicinepharmacogenomics

Identifiers

PMID33270363
PMCPMC7984435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.