Evidence map›Paper›PMID 26365496›Full record

ReviewGenetics research2015

The long tail and rare disease research: the impact of next-generation sequencing for rare Mendelian disorders.

Tony Shen, Ariel Lee, Carol Shen, C Jimmy Lin

Abstract readReview
In one paragraph

Review in Genetics research, 2015. 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. Article
  5. Review
  6. Article
  7. Finding commonalities in rare diseases through the undiagnosed diseases network.Journal of the American Medical Informatics Association : JAMIA · 2021
    Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Drugs for rare disorders.British journal of clinical pharmacology · 2017
    Article
  15. Article
  16. 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

4 authors.

Tony ShenRare Genomics Institute,5225 Pooks Hills Road,Suite 1701N,Bethesda,MD 20814,USA.
Ariel LeeRare Genomics Institute,5225 Pooks Hills Road,Suite 1701N,Bethesda,MD 20814,USA.
Carol ShenRare Genomics Institute,5225 Pooks Hills Road,Suite 1701N,Bethesda,MD 20814,USA.
C Jimmy LinRare Genomics Institute,5225 Pooks Hills Road,Suite 1701N,Bethesda,MD 20814,USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are an estimated 6000-8000 rare Mendelian diseases that collectively affect 30 million individuals in the United States. The low incidence and prevalence of these diseases present significant challenges to improving diagnostics and treatments. Next-generation sequencing (NGS) technologies have revolutionized research of rare diseases. This article will first comment on the effectiveness of NGS through the lens of long-tailed economics. We then provide an overview of recent developments and challenges of NGS-based research on rare diseases. As the quality of NGS studies improve and the cost of sequencing decreases, NGS will continue to make a significant impact on the study of rare diseases moving forward.

Indexed as

Biomedical ResearchComputational BiologyExomeGenetic Predisposition to DiseaseGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansRare DiseasesReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID26365496
PMCPMC6863629

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.