Evidence map›Paper›PMID 32634676›Full record

ReviewCurrent opinion in genetics & development2020

Functional genomics links genetic origins to pathophysiology in neurodegenerative and neuropsychiatric disease.

Brie Wamsley, Daniel H Geschwind

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Teaching Neuroimmunology to Undergraduate Students: Resource for Full Course or Modular Implementation.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2021
    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 at 2 institutions in 1 country.

Brie WamsleyProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Daniel H GeschwindProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Program in Neurobehavioral Genetics and Center for Autism Research and Treatment Semel Institute and Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: dhg@mednet.ucla.edu.
Center for Autism and Related Disorders · USUniversity of California, Los Angeles · US

Funding

Understanding Repetitive Behavior in AutismP50HD055784 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOOKHEIMER, SUSAN Y · 2007 to 2021
$32.0M
Autism Genetics, Phase II: Increasing Representation of Human DiversityR01MH100027 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2013 to 2024
$31.7M
Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
1/2 Cross modal integration of molecular and physiological networks in ASDU01MH115746 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H, MEHTA, MAYANK R · 2017 to 2021
$5.3M
2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
$4.5M
2/3 Integrative Genomic Analysis of Human Brain Development and AutismR01MH110927 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2019
$2.7M
1/3 Building integrative CNS networks for genomic analysis of autismR01MH109912 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2020
$2.6M
NICHD NIH HHS P50 HD055784NIMH NIH HHS R01 MH100027NIMH NIH HHS R01 MH109912NIMH NIH HHS R01 MH110927NIMH NIH HHS U01 MH115746NIMH NIH HHS U01 MH116489NINDS NIH HHS T32 NS048004
6 · The paper itself

Abstract

Neurodegenerative and neuropsychiatric disorders are pervasive and debilitating conditions characterized by diverse clinical syndromes and comorbidities, whose origins are as complex and heterogeneous as their associated phenotypes. Risk for these disorders involves substantial genetic liability, which has fueled large-scale genetic studies that have led to a flood of discoveries. In turn, these discoveries have exposed substantial gaps in our knowledge with regards to the complicated genetic architecture of each disorder and the substantial amount of genetic overlap among disorders, which implies some degree of shared pathophysiology underlying these clinically distinct, multifactorial disorders. Understanding the role of specific genetic variants will involve resolving the connections between molecular pathways, heterogeneous cell types, specific circuits and disease pathogenesis at the tissue and patient level. We consider the current known genetic basis of these disorders and highlight the utility of molecular systems approaches that establish the function of genetic variation in the context of specific neurobiological networks, cell-types, and life stages. Beyond expanding our knowledge of disease mechanisms, understanding these relationships provides promise for early detection and potential therapeutic interventions.

Indexed as

Gene Expression RegulationGenetic Predisposition to DiseasePolymorphism, Single NucleotideAnimalsGenomicsHumansMental DisordersNeurodegenerative Diseases

Identifiers

PMID32634676
PMCPMC8171040
OpenAlexW3039491166

What OpenQuestion holds

Textmetadata
LicenceTDM
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.