Evidence map›Paper›PMID 26149713›Full record

ReviewNature reviews. Genetics2015

Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders.

Neelroop N Parikshak, Michael J Gandal, Daniel H Geschwind

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 244 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
244citing papers in PubMed, 3 pooled it
24.1field-weighted citation impact, top 1% 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

244 citing papers in PubMed, 3 syntheses or guidelines pooled it, 469 citations in OpenAlex.

  1. Pooled it
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  15. Frontiers in psychiatry · 2026
    Article
  16. Longitudinal Characterization of GiantResearch (Washington, D.C.) · 2026
    Article
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184 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Neelroop N Parikshak1] Program in Neurobehavioral Genetics, Semel Institute, and Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA. [2] Interdepartmental Program in Neuroscience, University of California, Los Angeles, California 90095, USA.
Michael J Gandal1] Program in Neurobehavioral Genetics, Semel Institute, and Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA. [2] Center for Autism Treatment and Research, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA.
Daniel H Geschwind1] Program in Neurobehavioral Genetics, Semel Institute, and Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA. [2] Interdepartmental Program in Neuroscience, University of California, Los Angeles, California 90095, USA. [3] Center for Autism Treatment and Research, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA. [4] Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA.
University of California, Los Angeles · US

Funding

Autism Genetics, Phase II: Increasing Representation of Human DiversityR01MH100027 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2013 to 2024
$31.7M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Identification and Characterization of Asymmetrically-Expressed GenesR37MH060233 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2006 to 2014
$5.3M
Epigenetic and Transcriptional Dysregulation in Autism Spectrum DisorderR01MH094714 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2011 to 2015
$2.8M
Training Grant in Neurobehavioral GeneticsT32MH073526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GESCHWIND, DANIEL H · 2006 to 2020
$2.4M
Transcriptional Regulators in Normal Human Brain Development and AutismF30MH099886 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PARIKSHAK, NEELROOP NARENDRA · 2012 to 2015
$85k
NIGMS NIH HHS T32 GM008042NIMH NIH HHS 5R01MH094714NIMH NIH HHS 5R37MH060233NIMH NIH HHS 9R01MH100027NIMH NIH HHS F30 MH099886NIMH NIH HHS F30MH099886NIMH NIH HHS R01 MH094714NIMH NIH HHS R01 MH100027NIMH NIH HHS R37 MH060233NIMH NIH HHS T32 MH073526NIMH NIH HHS T32MH073526
6 · The paper itself

Abstract

Genetic and genomic approaches have implicated hundreds of genetic loci in neurodevelopmental disorders and neurodegeneration, but mechanistic understanding continues to lag behind the pace of gene discovery. Understanding the role of specific genetic variants in the brain involves dissecting a functional hierarchy that encompasses molecular pathways, diverse cell types, neural circuits and, ultimately, cognition and behaviour. With a focus on transcriptomics, this Review discusses how high-throughput molecular, integrative and network approaches inform disease biology by placing human genetics in a molecular systems and neurobiological context. We provide a framework for interpreting network biology studies and leveraging big genomics data sets in neurobiology.

Indexed as

Models, NeurologicalBrainDevelopmental DisabilitiesGene Expression ProfilingGene Regulatory NetworksHigh-Throughput Screening AssaysHumansNeurobiologyNeurodegenerative DiseasesSystems Biology

Identifiers

PMID26149713
PMCPMC4699316
OpenAlexW1508717233

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.