Publication

Bioinformatics of genomic association mapping

Vaez Barzani, A., 2015, [Groningen]: University of Groningen. 325 p.

Research output: ThesisThesis fully internal (DIV)

APA

Vaez Barzani, A. (2015). Bioinformatics of genomic association mapping. [Groningen]: University of Groningen.

Author

Vaez Barzani, Ahmad. / Bioinformatics of genomic association mapping. [Groningen] : University of Groningen, 2015. 325 p.

Harvard

Vaez Barzani, A 2015, 'Bioinformatics of genomic association mapping', Doctor of Philosophy, University of Groningen, [Groningen].

Standard

Bioinformatics of genomic association mapping. / Vaez Barzani, Ahmad.

[Groningen] : University of Groningen, 2015. 325 p.

Research output: ThesisThesis fully internal (DIV)

Vancouver

Vaez Barzani A. Bioinformatics of genomic association mapping. [Groningen]: University of Groningen, 2015. 325 p.


BibTeX

@phdthesis{d325e2e8d26442d9b718b2db584b4553,
title = "Bioinformatics of genomic association mapping",
abstract = "In this thesis we present an overview of bioinformatics-based approaches for genomic association mapping, with emphasis on human quantitative traits and their contribution to complex diseases. We aim to provide a comprehensive walk-through of the classic steps of genomic association mapping illustrating the application and development of bioinformatics tools along the way. We start with a classic heritability study, continue with providing novel tools for genome-wide association studies (GWASs) of complex traits, and end with an integrated post-GWAS pipeline for translating GWAS findings of any human trait or disease to biological knowledge. Using this A-to-Z approach, we emphasize the importance of following the consecutive steps of genomic association mapping. To show how bioinformatics tools can facilitate and support analysis of high-throughput biological data, in Chapters 2, 3, 5, 6, and 7 we applied a number of already available tools, whereas in Chapters 3, 4, and 7 we developed novel bioinformatics tools supporting appropriate analysis of “big data” for genomic association mapping. Our in-house developed and extensively documented bioinformatics tools are freely available to the scientific community for further use. Furthermore, and as a running example of genomic association mapping of a typical human complex trait, we strictly adhered to serum levels of C-reactive protein (CRP). Using appropriate bioinformatics-based tools, either already available or our in-house developed ones, we succeeded to gain in knowledge of biological mechanisms controlling serum levels of CRP as well as its (causal) contribution to the pathophysiology of human diseases.",
author = "{Vaez Barzani}, Ahmad",
year = "2015",
language = "English",
isbn = "978-90-367-8202-9",
publisher = "University of Groningen",
school = "University of Groningen",

}

RIS

TY - THES

T1 - Bioinformatics of genomic association mapping

AU - Vaez Barzani, Ahmad

PY - 2015

Y1 - 2015

N2 - In this thesis we present an overview of bioinformatics-based approaches for genomic association mapping, with emphasis on human quantitative traits and their contribution to complex diseases. We aim to provide a comprehensive walk-through of the classic steps of genomic association mapping illustrating the application and development of bioinformatics tools along the way. We start with a classic heritability study, continue with providing novel tools for genome-wide association studies (GWASs) of complex traits, and end with an integrated post-GWAS pipeline for translating GWAS findings of any human trait or disease to biological knowledge. Using this A-to-Z approach, we emphasize the importance of following the consecutive steps of genomic association mapping. To show how bioinformatics tools can facilitate and support analysis of high-throughput biological data, in Chapters 2, 3, 5, 6, and 7 we applied a number of already available tools, whereas in Chapters 3, 4, and 7 we developed novel bioinformatics tools supporting appropriate analysis of “big data” for genomic association mapping. Our in-house developed and extensively documented bioinformatics tools are freely available to the scientific community for further use. Furthermore, and as a running example of genomic association mapping of a typical human complex trait, we strictly adhered to serum levels of C-reactive protein (CRP). Using appropriate bioinformatics-based tools, either already available or our in-house developed ones, we succeeded to gain in knowledge of biological mechanisms controlling serum levels of CRP as well as its (causal) contribution to the pathophysiology of human diseases.

AB - In this thesis we present an overview of bioinformatics-based approaches for genomic association mapping, with emphasis on human quantitative traits and their contribution to complex diseases. We aim to provide a comprehensive walk-through of the classic steps of genomic association mapping illustrating the application and development of bioinformatics tools along the way. We start with a classic heritability study, continue with providing novel tools for genome-wide association studies (GWASs) of complex traits, and end with an integrated post-GWAS pipeline for translating GWAS findings of any human trait or disease to biological knowledge. Using this A-to-Z approach, we emphasize the importance of following the consecutive steps of genomic association mapping. To show how bioinformatics tools can facilitate and support analysis of high-throughput biological data, in Chapters 2, 3, 5, 6, and 7 we applied a number of already available tools, whereas in Chapters 3, 4, and 7 we developed novel bioinformatics tools supporting appropriate analysis of “big data” for genomic association mapping. Our in-house developed and extensively documented bioinformatics tools are freely available to the scientific community for further use. Furthermore, and as a running example of genomic association mapping of a typical human complex trait, we strictly adhered to serum levels of C-reactive protein (CRP). Using appropriate bioinformatics-based tools, either already available or our in-house developed ones, we succeeded to gain in knowledge of biological mechanisms controlling serum levels of CRP as well as its (causal) contribution to the pathophysiology of human diseases.

M3 - Thesis fully internal (DIV)

SN - 978-90-367-8202-9

PB - University of Groningen

CY - [Groningen]

ER -

ID: 23752681