Evidence map›Paper›PMID 28250017›Full record

ReviewCold Spring Harbor perspectives in medicine2017

The Use of Next-Generation Sequencing for Research and Diagnostics for Intellectual Disability.

Ricardo Harripaul, Abdul Noor, Muhammad Ayub, John B Vincent

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Novel heterozygousFrontiers in neurology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Case report: A novelFrontiers in psychiatry · 2024
    Article
  11. Molecular syndromology · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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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

4 authors.

Ricardo HarripaulMolecular Neuropsychiatry & Development (MiND) Lab, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada.
Abdul NoorDepartment of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario M5G 1Z5, Canada.
Muhammad AyubDepartment of Psychiatry, Queen's University, Kingston, Ontario K7L 7X3, Canada.
John B VincentMolecular Neuropsychiatry & Development (MiND) Lab, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic or genomic mutation is a major cause of intellectual disability (ID). However, despite the generally anticipated strong genotype/phenotype correlation for ID, there are huge obstacles to gene identification, except perhaps where very distinct syndromic features are observed, because of the high degree of genetic heterogeneity and wide variability of phenotype for different mutations or even with the same mutation within a single gene. A recent review estimates in excess of 2500 genes for ID. Fortunately for researchers and diagnosticians alike, the recent advent of massively parallel sequencing technologies, or next-generation sequencing (NGS) has made an apparently impossible task tractable. Here, we review the ongoing research endeavors to identify new disease genes, as well as strategies and approaches at the clinical level.

Indexed as

Genetic HeterogeneityHigh-Throughput Nucleotide SequencingHumansIntellectual DisabilityMutationPhenotype

Identifiers

PMID28250017
PMCPMC5334248

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.