Evidence map›Paper›PMID 27799057›Full record

ArticleGenome medicine2016

Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease.

Minghui Wang, Panos Roussos, Andrew McKenzie, Xianxiao Zhou, Yuji Kajiwara, Kristen J Brennand, Gabriele C De Luca, John F Crary, Patrizia Casaccia, Joseph D Buxbaum and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 9 pooled it
12.0field-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

197 citing papers in PubMed, 9 syntheses or guidelines pooled it, 340 citations in OpenAlex.

  1. Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
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  9. A Meta-Analysis of Alzheimer's Disease Brain Transcriptomic Data.Journal of Alzheimer's disease : JAD · 2019
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  19. Single-cell transcriptomic analysis reveals APOE genotype-dependent sex differences in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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137 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

17 authors at 4 institutions in 2 countries.

Minghui WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Panos RoussosDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Andrew McKenzieDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Xianxiao ZhouDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Yuji KajiwaraDivision of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Kristen J BrennandDivision of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Gabriele C De LucaNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
John F CraryFriedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Patrizia CasacciaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Joseph D BuxbaumDivision of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Michelle EhrlichDepartment of Pediatrics, Icahn School of Medicine at Mount Sinai, One Gustave L Levy Place, New York, NY, 10029, USA.
Sam GandyPsychiatry, JJ Peters VA Medical Center, 130 West Kingsbridge Road, Bronx, NY, 10468, USA.
Alison GoateDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Pavel KatselDivision of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Eric SchadtDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA.
Vahram HaroutunianDivision of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA. vahram.haroutunian@mssm.edu.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, New York, NY, 10029, USA. bin.zhang@mssm.edu.
Icahn School of Medicine at Mount Sinai · USAllen Institute for Brain Science · USJames J. Peters VA Medical Center · USUniversity of Oxford · GB

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Histone Deacetylation in Oligodendrocyte DifferentiationR37NS042925 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CASACCIA, PATRIZIA · 2012 to 2018
$4.3M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Modifier Genes that Influence Age at Onset or Protect Against Development of Alzheimer's Disease (AD)U01AG049508 · NIA · WASHINGTON UNIVERSITY · PI GOATE, ALISON M · 2014 to 2017
$1.8M
Dissecting Cis Regulation of Gene Expression in SchizophreniaI01BX002395 · VA · JAMES J PETERS VA MEDICAL CENTER · PI ROUSSOS, PANAGIOTIS · 2014 to 2022
–
BLRD VA I01 BX002395NIA NIH HHS R01 AG050986NIA NIH HHS U01 AG046170NIA NIH HHS U01 AG049508
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration. However, despite extensive clinical and genomic studies, the molecular basis of AD development and progression remains elusive.

methodsTo elucidate molecular systems associated with AD, we developed a large scale gene expression dataset from 1053 postmortem brain samples across 19 cortical regions of 125 individuals with a severity spectrum of dementia and neuropathology of AD. We excluded brain specimens that evidenced neuropathology other than that characteristic of AD. For the first time, we performed a pan-cortical brain region genomic analysis, characterizing the gene expression changes associated with a measure of dementia severity and multiple measures of the severity of neuropathological lesions associated with AD (neuritic plaques and neurofibrillary tangles) and constructing region-specific co-expression networks. We rank-ordered 44,692 gene probesets, 1558 co-expressed gene modules and 19 brain regions based upon their association with the disease traits.

resultsThe neurobiological pathways identified through these analyses included actin cytoskeleton, axon guidance, and nervous system development. Using public human brain single-cell RNA-sequencing data, we computed brain cell type-specific marker genes for human and determined that many of the abnormally expressed gene signatures and network modules were specific to oligodendrocytes, astrocytes, and neurons. Analysis based on disease severity suggested that: many of the gene expression changes, including those of oligodendrocytes, occurred early in the progression of disease, making them potential translational/treatment development targets and unlikely to be mere bystander result of degeneration; several modules were closely linked to cognitive compromise with lesser association with traditional measures of neuropathology. The brain regional analyses identified temporal lobe gyri as sites associated with the greatest and earliest gene expression abnormalities.

conclusionsThis transcriptomic network analysis of 19 brain regions provides a comprehensive assessment of the critical molecular pathways associated with AD pathology and offers new insights into molecular mechanisms underlying selective regional vulnerability to AD at different stages of the progression of cognitive compromise and development of the canonical neuropathological lesions of AD.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksGenetic MarkersGenetic Predisposition to DiseaseAlzheimer DiseaseBrainCohort StudiesDementiaGene Expression RegulationHumansSeverity of Illness IndexTranscription, GeneticGenetic MarkersAlzheimer’s diseaseBrain cell typesDementiaDemyelinationDifferential expressionGene co-expression networkGene moduleSelective vulnerabilitySystems biology

Identifiers

PMID27799057
PMCPMC5088659
OpenAlexW2531181314

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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.