Evidence map›Paper›PMID 32075678›Full record

ArticleGenome medicine2020

A chromosomal connectome for psychiatric and metabolic risk variants in adult dopaminergic neurons.

Sergio Espeso-Gil, Tobias Halene, Jaroslav Bendl, Bibi Kassim, Gabriella Ben Hutta, Marina Iskhakova, Neda Shokrian, Pavan Auluck, Behnam Javidfar, Prashanth Rajarajan and 18 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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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

28 authors at 7 institutions in 1 country.

Sergio Espeso-GilDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tobias HaleneDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jaroslav BendlDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bibi KassimDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gabriella Ben HuttaDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Marina IskhakovaDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Neda ShokrianDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pavan AuluckHuman Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA.
Behnam JavidfarDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Prashanth RajarajanMDPhD Program in the Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sandhya ChandrasekaranMDPhD Program in the Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Cyril J PeterDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alanna CoteDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rebecca BirnbaumDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Will LiaoNew York Genome Center, New York, NY, 10013, USA.
Tyler BorrmanProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Jennifer WisemanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Aaron BellDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michael J BannonDepartment of Pharmacology, Wayne State University, Detroit, MI, USA.
Panagiotis RoussosDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John F CraryDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Stefano MarencoHuman Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA.
Barbara LipskaHuman Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA.
Nadejda M TsankovaFriedman Brain Institute, Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Laura HuckinsDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yan JiangDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Schahram AkbarianDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Schahram.akbarian@mssm.edu.ORCID 0000-0001-7700-0891
Allen Institute for Brain Science · USIcahn School of Medicine at Mount Sinai · USNational Institute of Mental Health · USJames J. Peters VA Medical Center · USUniversity of Massachusetts Chan Medical School · USNew York Genome Center · USWayne State University · US

Funding

Procurement and Characterization of Postmortem Brain TissueZICMH002903 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARENCO, STEFANO · 2009 to 2025
$56.0M
Higher Order Chromatin and Genetic Risk for SchizophreniaR01MH106056 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BRENNAND, KRISTEN JENNIFER · 2015 to 2023
$6.7M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric diseaseU01DA048279 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BRENNAND, KRISTEN JENNIFER · 2019 to 2023
$3.5M
TRANSCRIPTOME AND EPIGENOME MAPPING IN DOPAMINE NEURONS FROM THE OPIOID EXPOSED HUMAN BRAINR01DA047880 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BANNON, MICHAEL J · 2019 to 2023
$3.4M
Research Training in the Neuroscience of AgingT32AG049688 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Joseph Michael Castellano, PATRICK R HOF · 2015 to 2026
$3.0M
Epigenomic Regulation of a Large, Neuron-specific Chromatin DomainR01MH117790 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM · 2018 to 2022
$2.1M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
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
NIA NIH HHS T32 AG049688NIDA NIH HHS R01 DA047880NIDA NIH HHS U01 DA048279NIH HHS S10 OD018522NIH HHS S10 OD026880NIMH NIH HHS R01 MH106056NIMH NIH HHS R01 MH117790NIMH NIH HHS U01 MH116442
6 · The paper itself

Abstract

backgroundMidbrain dopaminergic neurons (MDN) represent 0.0005% of the brain's neuronal population and mediate cognition, food intake, and metabolism. MDN are also posited to underlay the neurobiological dysfunction of schizophrenia (SCZ), a severe neuropsychiatric disorder that is characterized by psychosis as well as multifactorial medical co-morbidities, including metabolic disease, contributing to markedly increased morbidity and mortality. Paradoxically, however, the genetic risk sequences of psychosis and traits associated with metabolic disease, such as body mass, show very limited overlap.

methodsWe investigated the genomic interaction of SCZ with medical conditions and traits, including body mass index (BMI), by exploring the MDN's "spatial genome," including chromosomal contact landscapes as a critical layer of cell type-specific epigenomic regulation. Low-input Hi-C protocols were applied to 5-10 × 10

resultsThe Hi-C-reconstructed MDN spatial genome revealed 11 "Euclidean hot spots" of clustered chromatin domains harboring risk sequences for SCZ and elevated BMI. Inter- and intra-chromosomal contacts interconnecting SCZ and BMI risk sequences showed massive enrichment for brain-specific expression quantitative trait loci (eQTL), with gene ontologies, regulatory motifs and proteomic interactions related to adipogenesis and lipid regulation, dopaminergic neurogenesis and neuronal connectivity, and reward- and addiction-related pathways.

conclusionsWe uncovered shared nuclear topographies of cognitive and metabolic risk variants. More broadly, our PsychENCODE sponsored Hi-C study offers a novel genomic approach for the study of psychiatric and medical co-morbidities constrained by limited overlap of their respective genetic risk architectures on the linear genome.

Indexed as

Polymorphism, GeneticQuantitative Trait LociAdipogenesisAnimalsBody Mass IndexChromosomesCognitionDopaminergic NeuronsHumansLipid MetabolismMesencephalonMiceMice, Inbred C57BLNeurogenesisSchizophreniaBMI GWASchrom3DDopamineEuclidean hot spotsMetabolic syndromeNeuronsObesitySchizophreniaSchizophrenia GWASShared nuclear territoriesSpatial genome

Identifiers

PMID32075678
PMCPMC7031924
OpenAlexW3012542319

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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.