Evidence map›Paper›PMID 35181971›Full record

ArticleHuman mutation2022

Genomics4RD: An integrated platform to share Canadian deep-phenotype and multiomic data for international rare disease gene discovery.

Hannah G Driver, Taila Hartley, E Magda Price, Andrei L Turinsky, Orion J Buske, Matthew Osmond, Arun K Ramani, Emily Kirby, Kristin D Kernohan, Madeline Couse and 14 more

Open access · greenAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  8. The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges.International journal of neonatal screening · 2024
    Review
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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

24 authors at 6 institutions in 1 country.

Hannah G DriverChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-6780-6899
Taila HartleyChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-1957-9820
E Magda PriceChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-9447-2310
Andrei L TurinskyCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-5555-8461
Orion J BuskePhenoTips, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-9064-092X
Matthew OsmondChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-5886-873X
Arun K RamaniCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-8162-8523
Emily KirbyCentre of Genomics and Policy, McGill University, Montreal, Canada.ORCID 0000-0002-9419-6600
Kristin D KernohanChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
Madeline CouseCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-3373-3214
Hillary ElrickCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0001-6178-1670
Kevin LuCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
Pouria MashouriCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0003-4332-530X
Aarthi MohanCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0003-2556-9730
Delvin SoCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
Conor KlamannCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
Hannah G B H LeCentre for Computational Medicine, The Hospital for Sick Children, Toronto, Canada.
Andrea HerscovichGenomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
Christian R MarshallGenomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.ORCID 0000-0002-4003-7671
Andrew StatiaGenomics4RD Steering Committee, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
Care Rare Canada ConsortiumChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.
Bartha M KnoppersCentre of Genomics and Policy, McGill University, Montreal, Canada.ORCID 0000-0001-7004-2722
Michael BrudnoPhenoTips, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0001-7947-2243
Kym M BoycottChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0003-4186-8052
Hospital for Sick Children · CAChildren's Hospital of Eastern Ontario · CAMcGill University · CAUniversity of Ottawa · CANewborn Screening Ontario · CAUniversity of Toronto · CA

Funding

CIHR FDN-154279
6 · The paper itself

Abstract

Despite recent progress in the understanding of the genetic etiologies of rare diseases (RDs), a significant number remain intractable to diagnostic and discovery efforts. Broad data collection and sharing of information among RD researchers is therefore critical. In 2018, the Care4Rare Canada Consortium launched the project C4R-SOLVE, a subaim of which was to collect, harmonize, and share both retrospective and prospective Canadian clinical and multiomic data. Here, we introduce Genomics4RD, an integrated web-accessible platform to share Canadian phenotypic and multiomic data between researchers, both within Canada and internationally, for the purpose of discovering the mechanisms that cause RDs. Genomics4RD has been designed to standardize data collection and processing, and to help users systematically collect, prioritize, and visualize participant information. Data storage, authorization, and access procedures have been developed in collaboration with policy experts and stakeholders to ensure the trusted and secure access of data by external researchers. The breadth and standardization of data offered by Genomics4RD allows researchers to compare candidate disease genes and variants between participants (i.e., matchmaking) for discovery purposes, while facilitating the development of computational approaches for multiomic data analyses and enabling clinical translation efforts for new genetic technologies in the future.

Indexed as

Rare DiseasesCanadaGenetic Association StudiesHumansPhenotypeProspective StudiesRetrospective Studiesdata sharingdeep phenotypinggenomic dataGenomics4RDmatchmakingmultiomic datarare disease database

Identifiers

PMID35181971
PMCPMC9311832
OpenAlexW4212972218

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.