Applying the new genomics to alcohol dependence

Sean P. Farris; Andrzej Z. Pietrzykowski; Michael F. Miles; Megan A. O'Brien; Pietro P. Sanna; Samir Zakhari; R. Dayne Mayfield; R. Adron Harris

doi:10.1016/j.alcohol.2015.03.001

Applying the new genomics to alcohol dependence

Sean P. Farris, Andrzej Z. Pietrzykowski, Michael F. Miles, Megan A. O'Brien, Pietro P. Sanna, Samir Zakhari, R. Dayne Mayfield, R. Adron Harris

Pharmacology

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

This review summarizes the proceedings of a symposium presented at the "Alcoholism and Stress: A Framework for Future Treatment Strategies" conference held in Volterra, Italy on May 6-9, 2014. The overall goal of the symposium titled "Applying the New Genomics to Alcohol Dependence", chaired by Dr. Adron Harris, was to highlight recent genomic discoveries and applications for profiling alcohol use disorder (AUD). Dr. Sean Farris discussed the gene expression networks related to lifetime consumption of alcohol within human prefrontal cortex. Dr. Andrzej Pietrzykowski presented the effects of alcohol on microRNAs in humans and animal models. Alcohol-induced alterations in the synaptic transcriptome were discussed by Dr. Michael Miles. Dr. Pietro Sanna examined methods to probe the gene regulatory networks that drive excessive alcohol drinking, and Dr. Samir Zakhari served as a panel discussant and summarized the proceedings. Collectively, the presentations emphasized the power of integrating multiple levels of genetics and transcriptomics with convergent biological processes and phenotypic behaviors to determine causal factors of AUD. The combined use of diverse data types demonstrates how unique approaches and applications can help categorize genetic complexities into relevant biological networks using a systems-level model of disease.

Original language	English (US)
Pages (from-to)	825-836
Number of pages	12
Journal	Alcohol
Volume	49
Issue number	8
DOIs	https://doi.org/10.1016/j.alcohol.2015.03.001
State	Published - Dec 1 2015

Bibliographical note

Funding Information:
The following NIH/NIAAA grants provided funding for the work: AA017481 and AA017920 and a Pilot Project from the INIA-West consortium ( AA013517 ) to AZP; U01AA016667 and P20AA017828 to MFM and F31AA021035 to MAO; AA020960 and AA021667 to PPS; INIA-West consortium ( U01AA020926 ) and RC2AA019382 to RDM; INIA-West consortium ( U01AA013520 ) and AA012404 to RAH; and NIAAA Conference Grant AA017581 . Dr. Miles thanks members of his laboratory for support and Dr. John Bigbee for assistance in the characterization of synaptoneurosomal fractions. The authors thank Dr. Jody Mayfield for thoughtful critiques and help writing and editing the manuscript.

Publisher Copyright:
© 2015 Elsevier Inc.

Keywords

Epigenetics
Gene expression networks
MicroRNAs
RNA-Seq
Synaptic transcriptome
Systems biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.alcohol.2015.03.001

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title = "Applying the new genomics to alcohol dependence",

abstract = "This review summarizes the proceedings of a symposium presented at the {"}Alcoholism and Stress: A Framework for Future Treatment Strategies{"} conference held in Volterra, Italy on May 6-9, 2014. The overall goal of the symposium titled {"}Applying the New Genomics to Alcohol Dependence{"}, chaired by Dr. Adron Harris, was to highlight recent genomic discoveries and applications for profiling alcohol use disorder (AUD). Dr. Sean Farris discussed the gene expression networks related to lifetime consumption of alcohol within human prefrontal cortex. Dr. Andrzej Pietrzykowski presented the effects of alcohol on microRNAs in humans and animal models. Alcohol-induced alterations in the synaptic transcriptome were discussed by Dr. Michael Miles. Dr. Pietro Sanna examined methods to probe the gene regulatory networks that drive excessive alcohol drinking, and Dr. Samir Zakhari served as a panel discussant and summarized the proceedings. Collectively, the presentations emphasized the power of integrating multiple levels of genetics and transcriptomics with convergent biological processes and phenotypic behaviors to determine causal factors of AUD. The combined use of diverse data types demonstrates how unique approaches and applications can help categorize genetic complexities into relevant biological networks using a systems-level model of disease.",

keywords = "Epigenetics, Gene expression networks, MicroRNAs, RNA-Seq, Synaptic transcriptome, Systems biology",

author = "Farris, {Sean P.} and Pietrzykowski, {Andrzej Z.} and Miles, {Michael F.} and O'Brien, {Megan A.} and Sanna, {Pietro P.} and Samir Zakhari and Mayfield, {R. Dayne} and Harris, {R. Adron}",

note = "Funding Information: The following NIH/NIAAA grants provided funding for the work: AA017481 and AA017920 and a Pilot Project from the INIA-West consortium ( AA013517 ) to AZP; U01AA016667 and P20AA017828 to MFM and F31AA021035 to MAO; AA020960 and AA021667 to PPS; INIA-West consortium ( U01AA020926 ) and RC2AA019382 to RDM; INIA-West consortium ( U01AA013520 ) and AA012404 to RAH; and NIAAA Conference Grant AA017581 . Dr. Miles thanks members of his laboratory for support and Dr. John Bigbee for assistance in the characterization of synaptoneurosomal fractions. The authors thank Dr. Jody Mayfield for thoughtful critiques and help writing and editing the manuscript. Publisher Copyright: {\textcopyright} 2015 Elsevier Inc.",

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doi = "10.1016/j.alcohol.2015.03.001",

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AU - Zakhari, Samir

AU - Mayfield, R. Dayne

AU - Harris, R. Adron

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N2 - This review summarizes the proceedings of a symposium presented at the "Alcoholism and Stress: A Framework for Future Treatment Strategies" conference held in Volterra, Italy on May 6-9, 2014. The overall goal of the symposium titled "Applying the New Genomics to Alcohol Dependence", chaired by Dr. Adron Harris, was to highlight recent genomic discoveries and applications for profiling alcohol use disorder (AUD). Dr. Sean Farris discussed the gene expression networks related to lifetime consumption of alcohol within human prefrontal cortex. Dr. Andrzej Pietrzykowski presented the effects of alcohol on microRNAs in humans and animal models. Alcohol-induced alterations in the synaptic transcriptome were discussed by Dr. Michael Miles. Dr. Pietro Sanna examined methods to probe the gene regulatory networks that drive excessive alcohol drinking, and Dr. Samir Zakhari served as a panel discussant and summarized the proceedings. Collectively, the presentations emphasized the power of integrating multiple levels of genetics and transcriptomics with convergent biological processes and phenotypic behaviors to determine causal factors of AUD. The combined use of diverse data types demonstrates how unique approaches and applications can help categorize genetic complexities into relevant biological networks using a systems-level model of disease.

AB - This review summarizes the proceedings of a symposium presented at the "Alcoholism and Stress: A Framework for Future Treatment Strategies" conference held in Volterra, Italy on May 6-9, 2014. The overall goal of the symposium titled "Applying the New Genomics to Alcohol Dependence", chaired by Dr. Adron Harris, was to highlight recent genomic discoveries and applications for profiling alcohol use disorder (AUD). Dr. Sean Farris discussed the gene expression networks related to lifetime consumption of alcohol within human prefrontal cortex. Dr. Andrzej Pietrzykowski presented the effects of alcohol on microRNAs in humans and animal models. Alcohol-induced alterations in the synaptic transcriptome were discussed by Dr. Michael Miles. Dr. Pietro Sanna examined methods to probe the gene regulatory networks that drive excessive alcohol drinking, and Dr. Samir Zakhari served as a panel discussant and summarized the proceedings. Collectively, the presentations emphasized the power of integrating multiple levels of genetics and transcriptomics with convergent biological processes and phenotypic behaviors to determine causal factors of AUD. The combined use of diverse data types demonstrates how unique approaches and applications can help categorize genetic complexities into relevant biological networks using a systems-level model of disease.

KW - Epigenetics

KW - Gene expression networks

KW - MicroRNAs

KW - RNA-Seq

KW - Synaptic transcriptome

KW - Systems biology

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AN - SCOPUS:84952637377

VL - 49

SP - 825

EP - 836

JO - Alcohol

JF - Alcohol

SN - 0741-8329

IS - 8

ER -

Applying the new genomics to alcohol dependence

Abstract

Bibliographical note

Keywords

UN SDGs

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