Systems genetics of obesity

Gudrun A. Brockmann; Danny Arends; Sebastian Heise; Ayca Dogan

doi:10.1007/978-1-4939-6427-7_23

Systems genetics of obesity

Gudrun A. Brockmann^*, Danny Arends, Sebastian Heise, Ayca Dogan

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Obesity is a complex trait, determined by many genes and influenced by environmental factors. Mapping genomic loci contributing to obesity helps to identify gene variants responsible for differences in the phenotype. However, measuring fat content alone is often not sufficient to identify the underlying gene or genes. Besides in-depth phenotyping, well-designed genetic populations and the combined analysis of data of different origins are necessary to detect one of several genetic determinants. Structured mouse populations and linking information from different experiments help to simplify the complexity in the search for direct genetic effects or factors that are hidden in the genome. In this chapter we present an example of how the physicochemical characterization of adipose tissue in BXD recombinant inbred lines contributes to enlighten the obese phenotype of mice. We describe the search for gene(s) contributing to collagen content in adipose tissue of BXD strains using the GeneNetwork platform.

Original language	English
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	481-497
Number of pages	17
DOIs	https://doi.org/10.1007/978-1-4939-6427-7_23
Publication status	Published - 2017
Externally published	Yes

Publication series

Name	Methods in Molecular Biology
Volume	1488
ISSN (Print)	1064-3745

Keywords

Adipose tissue
Collagen content
Genenetwork
Recombinant inbred strains (RIS)
Use case

UN SDGs

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

Access to Document

10.1007/978-1-4939-6427-7_23

Cite this

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title = "Systems genetics of obesity",

abstract = "Obesity is a complex trait, determined by many genes and influenced by environmental factors. Mapping genomic loci contributing to obesity helps to identify gene variants responsible for differences in the phenotype. However, measuring fat content alone is often not sufficient to identify the underlying gene or genes. Besides in-depth phenotyping, well-designed genetic populations and the combined analysis of data of different origins are necessary to detect one of several genetic determinants. Structured mouse populations and linking information from different experiments help to simplify the complexity in the search for direct genetic effects or factors that are hidden in the genome. In this chapter we present an example of how the physicochemical characterization of adipose tissue in BXD recombinant inbred lines contributes to enlighten the obese phenotype of mice. We describe the search for gene(s) contributing to collagen content in adipose tissue of BXD strains using the GeneNetwork platform.",

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AU - Brockmann, Gudrun A.

AU - Arends, Danny

AU - Heise, Sebastian

AU - Dogan, Ayca

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Y1 - 2017

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KW - Adipose tissue

KW - Collagen content

KW - Genenetwork

KW - Recombinant inbred strains (RIS)

KW - Use case

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Systems genetics of obesity

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

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Fine mapping a major obesity locus (jObes1) using a Berlin Fat Mouse × B6N advanced intercross population

Cite this