Evidence map›Paper›PMID 30420340›Full record

ReviewCold Spring Harbor perspectives in medicine2019

Next-Generation Sequencing in Autism Spectrum Disorder.

Stephan J Sanders

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Genetic and epigenetic analyses of panic disorder in the post-GWAS era.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Review
  9. Review
  10. Review
  11. Blood platelet research in autism spectrum disorders: In search of biomarkers.Research and practice in thrombosis and haemostasis · 2019
    Review
  12. Review
  13. Review
  14. Review
  15. 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

1 author.

Stephan J SandersDepartment of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94158.

Funding

3/3 Integrative Genomic Analysis of Human Brain Development and AutismR01MH110928 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SANDERS, STEPHAN, STATE, MATTHEW W. · 2016 to 2019
$1.3M
NIMH NIH HHS R01 MH110928
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a common disorder that causes substantial distress. Heritability studies consistently show a strong genetic contribution, raising the hope that identifying ASD-associated genetic variants will offer insights into neurobiology and ultimately therapeutics. Next-generation sequencing (NGS) enabled the identification of disruptive variants throughout protein-coding regions of the genome. Alongside large cohorts and novel statistical methods, these NGS methods revolutionized ASD gene discovery. NGS methods have also contributed substantially to functional genetic data, such as gene expression, used to understand the neurobiological consequences of disrupting these ASD-associated genes. These functional data are also critical for annotating the noncoding genome as whole-genome sequencing (WGS) begins to provide initial insights outside of protein-coding regions. NGS methods still have a major role to play, as do similarly transformative advances in stem cell and gene-editing methods, in translating genetic discoveries into a first generation of ASD therapeutics.

Indexed as

Genetic Predisposition to DiseaseAnimalsAutism Spectrum DisorderDisease Models, AnimalHigh-Throughput Nucleotide SequencingHumansMutation, MissenseWhole Genome Sequencing

Identifiers

PMID30420340
PMCPMC6671934

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.