Evidence map›Paper›PMID 30559314›Full record

ReviewCold Spring Harbor molecular case studies2018

Diagnosing rare diseases after the exome.

Laure Frésard, Stephen B Montgomery

Abstract readReview
In one paragraph

Review in Cold Spring Harbor molecular case studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. How to choose a test for prenatal genetic diagnosis: a practical overview.American journal of obstetrics and gynecology · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
  18. Article
  19. Article
  20. 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

2 authors.

Laure FrésardDepartment of Pathology, Stanford University, Stanford, California 94305, USA.ORCID 0000-0001-8154-6328
Stephen B MontgomeryDepartment of Pathology, Stanford University, Stanford, California 94305, USA.ORCID 0000-0002-5200-3903

Funding

Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Predicting causal non-coding variants in a founder populationR01HG008150 · NHGRI · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2015 to 2017
$1.4M
NHGRI NIH HHS U01 HG009080
6 · The paper itself

Abstract

High-throughput sequencing has ushered in a diversity of approaches for identifying genetic variants and understanding genome structure and function. When applied to individuals with rare genetic diseases, these approaches have greatly accelerated gene discovery and patient diagnosis. Over the past decade, exome sequencing has emerged as a comprehensive and cost-effective approach to identify pathogenic variants in the protein-coding regions of the genome. However, for individuals in whom exome-sequencing fails to identify a pathogenic variant, we discuss recent advances that are helping to reduce the diagnostic gap.

Indexed as

Computational BiologyExomeExome SequencingGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansRare DiseasesSequence Analysis, DNA

Identifiers

PMID30559314
PMCPMC6318767

What OpenQuestion holds

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LicenceCC BY
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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.