Systems Genetics for Evolutionary Studies

Pjotr Prins; Geert Smant; Danny Arends; Megan K. Mulligan; Rob W. Williams; Ritsert C. Jansen

doi:10.1007/978-1-4939-9074-0_21

Systems Genetics for Evolutionary Studies

Pjotr Prins, Geert Smant, Danny Arends, Megan K. Mulligan, Rob W. Williams, Ritsert C. Jansen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

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Abstract

Systems genetics combines high-throughput genomic data with genetic analysis. In this chapter, we review and discuss application of systems genetics in the context of evolutionary studies, in which high-throughput molecular technologies are being combined with quantitative trait locus (QTL) analysis in segregating populations.

Original language	English
Title of host publication	Evolutionary Genomics: Statistical and Computational Methods
Editors	Maria Anisimova
Place of Publication	New York, NY
Publisher	Humana Press
Chapter	21
Pages	635-652
Number of pages	18
Volume	1910
ISBN (Electronic)	9781493990740
ISBN (Print)	9781493990733
DOIs	https://doi.org/10.1007/978-1-4939-9074-0_21
Publication status	Published - 6 Jul 2019
Externally published	Yes

Keywords

Systems genetics
Genetical genomics
QTL
eQTL
xQTL
R-genes
Evolution
R/qtl
LMM
GEMMA
NGS
Genomics
Metabolomics
Network inference
GeneNetwork

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10.1007/978-1-4939-9074-0_21Licence: CC BY

978-1-4939-9074-0_21Final published version, 429 KBLicence: CC BY

Cite this

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title = "Systems Genetics for Evolutionary Studies",

abstract = "Systems genetics combines high-throughput genomic data with genetic analysis. In this chapter, we review and discuss application of systems genetics in the context of evolutionary studies, in which high-throughput molecular technologies are being combined with quantitative trait locus (QTL) analysis in segregating populations.",

keywords = "Systems genetics, Genetical genomics, QTL, eQTL, xQTL, R-genes, Evolution, R/qtl, LMM, GEMMA, NGS, Genomics, Metabolomics, Network inference, GeneNetwork",

author = "Pjotr Prins and Geert Smant and Danny Arends and Mulligan, \{Megan K.\} and Williams, \{Rob W.\} and Jansen, \{Ritsert C.\}",

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TY - CHAP

T1 - Systems Genetics for Evolutionary Studies

AU - Prins, Pjotr

AU - Smant, Geert

AU - Arends, Danny

AU - Mulligan, Megan K.

AU - Williams, Rob W.

AU - Jansen, Ritsert C.

PY - 2019/7/6

Y1 - 2019/7/6

N2 - Systems genetics combines high-throughput genomic data with genetic analysis. In this chapter, we review and discuss application of systems genetics in the context of evolutionary studies, in which high-throughput molecular technologies are being combined with quantitative trait locus (QTL) analysis in segregating populations.

AB - Systems genetics combines high-throughput genomic data with genetic analysis. In this chapter, we review and discuss application of systems genetics in the context of evolutionary studies, in which high-throughput molecular technologies are being combined with quantitative trait locus (QTL) analysis in segregating populations.

KW - Systems genetics

KW - Genetical genomics

KW - QTL

KW - eQTL

KW - xQTL

KW - R-genes

KW - Evolution

KW - R/qtl

KW - LMM

KW - GEMMA

KW - NGS

KW - Genomics

KW - Metabolomics

KW - Network inference

KW - GeneNetwork

UR - https://www.scopus.com/pages/publications/85068872629

U2 - 10.1007/978-1-4939-9074-0_21

DO - 10.1007/978-1-4939-9074-0_21

M3 - Chapter

SN - 9781493990733

VL - 1910

SP - 635

EP - 652

BT - Evolutionary Genomics: Statistical and Computational Methods

A2 - Anisimova, Maria

PB - Humana Press

CY - New York, NY

ER -

Systems Genetics for Evolutionary Studies

Abstract

Keywords

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