Convergent functional genomics of psychiatric disorders

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes.

Original languageEnglish
Pages (from-to)587-594
Number of pages8
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Volume162
Issue number7
DOIs
StatePublished - Oct 2013

Fingerprint

Genomics
Psychiatry
Genome
Cohort Effect
Medical Genetics
Cardiovascular Diseases
Animal Models
Gene Expression
Population
Neoplasms

Keywords

  • Animal models
  • Bipolar
  • Convergent functional genomics
  • Gene expression
  • GWAS

ASJC Scopus subject areas

  • Genetics(clinical)
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

Cite this

Convergent functional genomics of psychiatric disorders. / Niculescu, Alexander.

In: American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, Vol. 162, No. 7, 10.2013, p. 587-594.

Research output: Contribution to journalArticle

@article{cb487f372825424f914f7eca6a50d909,
title = "Convergent functional genomics of psychiatric disorders",
abstract = "Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes.",
keywords = "Animal models, Bipolar, Convergent functional genomics, Gene expression, GWAS",
author = "Alexander Niculescu",
year = "2013",
month = "10",
doi = "10.1002/ajmg.b.32163",
language = "English",
volume = "162",
pages = "587--594",
journal = "American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics",
issn = "1552-4841",
publisher = "Wiley-Liss Inc.",
number = "7",

}

TY - JOUR

T1 - Convergent functional genomics of psychiatric disorders

AU - Niculescu, Alexander

PY - 2013/10

Y1 - 2013/10

N2 - Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes.

AB - Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes.

KW - Animal models

KW - Bipolar

KW - Convergent functional genomics

KW - Gene expression

KW - GWAS

UR - http://www.scopus.com/inward/record.url?scp=84885823568&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885823568&partnerID=8YFLogxK

U2 - 10.1002/ajmg.b.32163

DO - 10.1002/ajmg.b.32163

M3 - Article

C2 - 23728881

AN - SCOPUS:84885823568

VL - 162

SP - 587

EP - 594

JO - American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics

JF - American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics

SN - 1552-4841

IS - 7

ER -