Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression

Harmen J. Bussemaker; Helen C. Causton; Mina Fazlollahi; Eunjee Lee; Ivor Muroff

doi:10.1016/j.coisb.2017.04.002

Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression

Harmen J. Bussemaker
, Helen C. Causton
, Mina Fazlollahi
, Eunjee Lee
, Ivor Muroff

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

Abstract

Over the past decade, a number of methods have emerged for inferring protein-level transcription factor activities in individual samples based on prior information about the structure of the gene regulatory network. We discuss how this has enabled new approaches for dissecting trans-acting mechanisms that underpin genetic variation in gene expression.

Original language	English
Pages (from-to)	98-102
Number of pages	5
Journal	Current Opinion in Systems Biology
Volume	2
DOIs	https://doi.org/10.1016/j.coisb.2017.04.002
State	Published - Apr 2017

Keywords

AQTL
CQTL
Gene regulatory networks
QTL mapping
Systems genetics
Transcription factor activity

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10.1016/j.coisb.2017.04.002

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title = "Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression",

abstract = "Over the past decade, a number of methods have emerged for inferring protein-level transcription factor activities in individual samples based on prior information about the structure of the gene regulatory network. We discuss how this has enabled new approaches for dissecting trans-acting mechanisms that underpin genetic variation in gene expression.",

keywords = "AQTL, CQTL, Gene regulatory networks, QTL mapping, Systems genetics, Transcription factor activity",

author = "Bussemaker, \{Harmen J.\} and Causton, \{Helen C.\} and Mina Fazlollahi and Eunjee Lee and Ivor Muroff",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd.",

year = "2017",

month = apr,

doi = "10.1016/j.coisb.2017.04.002",

language = "English",

volume = "2",

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journal = "Current Opinion in Systems Biology",

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AU - Bussemaker, Harmen J.

AU - Causton, Helen C.

AU - Fazlollahi, Mina

AU - Lee, Eunjee

AU - Muroff, Ivor

PY - 2017/4

Y1 - 2017/4

N2 - Over the past decade, a number of methods have emerged for inferring protein-level transcription factor activities in individual samples based on prior information about the structure of the gene regulatory network. We discuss how this has enabled new approaches for dissecting trans-acting mechanisms that underpin genetic variation in gene expression.

AB - Over the past decade, a number of methods have emerged for inferring protein-level transcription factor activities in individual samples based on prior information about the structure of the gene regulatory network. We discuss how this has enabled new approaches for dissecting trans-acting mechanisms that underpin genetic variation in gene expression.

KW - AQTL

KW - CQTL

KW - Gene regulatory networks

KW - QTL mapping

KW - Systems genetics

KW - Transcription factor activity

UR - https://www.scopus.com/pages/publications/85038103721

U2 - 10.1016/j.coisb.2017.04.002

DO - 10.1016/j.coisb.2017.04.002

M3 - Review article

AN - SCOPUS:85038103721

SN - 2452-3100

VL - 2

SP - 98

EP - 102

JO - Current Opinion in Systems Biology

JF - Current Opinion in Systems Biology

ER -

Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression

Abstract

Keywords

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