Public Release: 

Four studies by Mount Sinai investigators featured in upcoming special issue of Science

The Mount Sinai Hospital / Mount Sinai School of Medicine

The work of several Mount Sinai researchers who analyze brain genomics data as part of the PsychENCODE Consortium, a collective established in 2015 by the National Institutes of Health (NIH), will be highlighted in four scientific papers to be published online December 13 in the journal Science as part of a special issue focused on big data.

The Icahn School of Medicine at Mount Sinai (ISMMS) is one of the lead sites associated with the PsychENCODE Consortium, a collaboration among NIH grantees that aims to accelerate discovery of non-coding functional genomic elements (components of an organism's DNA that do not encode protein sequences) and epigenetic modifications (reversible modifications on a cell's DNA or histones that affect gene expression without altering the DNA sequence) as they relate to gene expression patterns in the human brain and to understand the molecular pathophysiology of mental illness, particularly autism spectrum disorder, bipolar disorder, and schizophrenia.

Having analyzed more than 2,000 normal and disease-affected brains to date, the Consortium is publishing some of its initial findings in the December issue of Science, with multiple collaborative contributions by investigators from ISMMS, including laboratories from The Friedman Brain Institute and the Seaver Autism Center for Research and Treatment.

Below are descriptions of the studies that, with significant contributions by researchers from the Icahn School of Medicine at Mount Sinai, will be published in the journal:

Study Title: Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk

Schahram Akbarian, MD, PhD, Professor of Psychiatry and Neuroscience
Kristen Brennand, PhD, Professor of Neuroscience, Genetics and Genomic Sciences, Psychiatry

  • Through genome-wide chromosomal mappings in neural precursor cells and differentiating neurons and glial cells, the researchers discovered that early development is associated with major changes in chromosomal conformations inside the nuclei of brain cells. These '3D genome' changes in young neurons disproportionately affect common DNA variants that are associated with schizophrenia heritability, highlighting cell type-specific vulnerabilities in spatial genome organization and expanding the genomic risk space associated with psychiatric disease. For this study, the Mount Sinai investigators joined forces with scientists from the New York Genome Center and the University of Massachusetts Medical School.

Study Title: Comprehensive functional genomic resource and integrative model for the human brain

Schahram Akbarian, MD, PhD, Professor of Psychiatry and Neuroscience
Panos Roussos, MD, PhD, Associate Professor of Genetics and Genomic Sciences, and Psychiatry

  • Next-generation sequencing datasets were used to integrate information on gene expression, chromatin structure and function, and genome sequence information to provide an unprecedented resource on genome organization and function in the adult male brain. The dataset is fed into a computer-based deep learning mechanism which will improve disease risk prediction several-fold when compared to conventional genomic approaches.

Study Title: Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

Dalila Pinto, PhD, Assistant Professor of Psychiatry, and Genetics and Genomic Sciences

  • By integrating RNA sequencing and genetic data to refine the shared and distinct molecular pathology of autism spectrum disorders, bipolar disorder, and schizophrenia, the multisite research team, co-led by Dr. Pinto and colleagues from the University of California-Los Angeles, the University of California-San Diego, and SUNY Upstate Medical University provided a quantitative, genome-wide resource for mechanistic insight and therapeutic development and an interactive website ( to permit further biological exploration of gene/isoform co-expression networks. These data revealed shared and disorder-specific molecular pathways and cell types involved, emphasized the importance of local splicing and isoform-level gene regulatory mechanisms in defining cell type and disease specificity, and, after further integrating genome-wide association studies, led to the discovery of new candidate risk genes.

Study Title: Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder

Joseph D. Buxbaum, PhD, Director of the Seaver Autism Center for Research and Treatment and Professor of Psychiatry, Neuroscience, and Genetics and Genomic Sciences

  • Whole genome sequencing (WGS) has facilitated the first large-scale genome-wide evaluations of the contribution of de novo noncoding mutations to complex disorders. Using WGS, a multisite research team, led by Harvard University, the University of California-San Francisco, Carnegie Mellon University, and the University of Pittsburgh, assessed genetic variation from 7,609 samples in 1,902 autism spectrum disorder (ASD) families, identifying 255,106 de novo mutations--rare, spontaneous mutations that may exert strong effects. In contrast to coding mutations, no noncoding functional annotation category, analyzed in isolation, is significantly associated with ASD. Casting noncoding variation in the context of a risk score across multiple annotation categories, however, does demonstrate association with mutations localized to promoter regions, regions of DNA that initiate transcription of a particular gene. The strongest driver of this promoter signal emanates from evolutionary conserved transcription factor binding sites distal to the transcription start site. These data suggest that de novo mutations in promoter regions, characterized by evolutionary and functional signatures, contribute to ASD risk.


About the Mount Sinai Health System

The Mount Sinai Health System is New York City's largest integrated delivery system encompassing (with the addition of South Nassau Communities Hospital) eight hospital campuses, a leading medical school, and a vast network of ambulatory practices throughout the greater New York region. Mount Sinai's vision is to produce the safest care, the highest quality, the highest satisfaction, the best access and the best value of any health system in the nation. The Health System includes approximately 7,480 primary and specialty care physicians; 11 joint-venture ambulatory surgery centers; more than 410 ambulatory practices throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and 31 affiliated community health centers. The Icahn School of Medicine is one of three medical schools that have earned distinction by multiple indicators: ranked in the top 20 by U.S. News & World Report's "Best Medical Schools", aligned with a U.S. News & World Report's "Honor Roll" Hospital, No. 12 in the nation for National Institutes of Health funding, and among the top 10 most innovative research institutions as ranked by the journal Nature in its Nature Innovation Index. This reflects a special level of excellence in education, clinical practice, and research. The Mount Sinai Hospital is ranked No. 18 on U.S. News & World Report's "Honor Roll" of top U.S. hospitals; it is one of the nation's top 20 hospitals in Cardiology/Heart Surgery, Gastroenterology/GI Surgery, Geriatrics, Nephrology, and Neurology/Neurosurgery, and in the top 50 in six other specialties in the 2018-2019 "Best Hospitals" issue. Mount Sinai's Kravis Children's Hospital also is ranked nationally in five out of ten pediatric specialties by U.S. News & World Report. The New York Eye and Ear Infirmary of Mount Sinai is ranked 11th nationally for Ophthalmology and 44th for Ear, Nose, and Throat. Mount Sinai Beth Israel, Mount Sinai St. Luke's, Mount Sinai West, and South Nassau Communities Hospital are ranked regionally.

For more information, visit, or find Mount Sinai on Facebook, Twitter and YouTube.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.