Evidence map›Paper›PMID 33627657›Full record

ReviewNPJ genomic medicine2021

Rare versus common diseases: a false dichotomy in precision medicine.

Brian Hon Yin Chung, Jeffrey Fong Ting Chau, Gane Ka-Shu Wong

Abstract readReview
In one paragraph

Review in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Co-existence of Myelin Oligodendrocyte Glycoprotien Antibody-associated Disease (MOGAD) and Spinocerebellar Ataxia type 1 (SCA1): A case report.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  9. Review
  10. Data Challenges for Externally Controlled Trials: Viewpoint.Journal of medical Internet research · 2023
    Article
  11. Review
  12. Review
  13. Genetics and genomics: A frontier for clinicians.Singapore medical journal · 2023
    Article
  14. Article
  15. Review
  16. Review
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

3 authors.

Brian Hon Yin ChungDepartment of Paediatrics & Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-7044-5916
Jeffrey Fong Ting ChauDepartment of Paediatrics & Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4645-2793
Gane Ka-Shu WongDepartment of Medicine and Department of Biological Sciences, The University of Alberta, Edmonton, AB, Canada. gane@ualberta.ca.ORCID http://orcid.org/0000-0001-6108-5560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine initiatives are being launched worldwide, each with the capacity to sequence many thousands to millions of human genomes. At the strategic planning level, all are debating the extent to which these resources will be directed towards rare diseases (and cancers) versus common diseases. However, these are not mutually exclusive choices. The organizational and governmental infrastructure created for rare diseases is extensible to common diseases. As we will explain, the underlying technology can also be used to identify drug targets for common diseases with a strategy focused on naturally occurring human knockouts. This flips on its head the prevailing modus operandi of studying people with diseases of interest, shifting the onus to defining traits worth emulating by pharmaceuticals, and searching phenotypically for people with these traits. This also shifts the question of what is rare or common from the many underlying causes to the possibility of a common final pathway.

Identifiers

PMID33627657
PMCPMC7904920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.