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The Hereditary Basis of Rheumatic Diseases

Overview of attention for book
Cover of 'The Hereditary Basis of Rheumatic Diseases'

Table of Contents

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    Book Overview
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    Chapter 1 Genetics of joint inflammation — problems and possibilities
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    Chapter 2 The epidemiology of rheumatoid arthritis and the use of linkage and association studies to identify disease genes
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    Chapter 3 Heterogeneity in rheumatoid arthritis based on expression analysis: towards personalised medicine
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    Chapter 4 Gene-based large scale LD-mapping of rheumatoid arthritis-associated genes
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    Chapter 5 Emerging relationships: rheumatoid arthritis and the PTPN22 associated autoimmune disorders
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    Chapter 6 Shared genes in rheumatic diseases, the role of PD1 and the RUNX genes in disease susceptibility
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    Chapter 7 The role of B27 and other genes associated with ankylosing spondylitis
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    Chapter 8 Emerging tools for dissecting complex disease
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    Chapter 9 Expression analysis of rheumatic diseases, prospects and problems
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    Chapter 10 The use of humanized MHC mouse strains for studies of rheumatic diseases
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    Chapter 11 SKG mice, a monogenic model of autoimmune arthritis due to altered signal transduction in T-cells
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    Chapter 12 A genetic approach to select and validate new targets for treatment of rheumatic diseases
Attention for Chapter 4: Gene-based large scale LD-mapping of rheumatoid arthritis-associated genes
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Chapter title
Gene-based large scale LD-mapping of rheumatoid arthritis-associated genes
Chapter number 4
Book title
The Hereditary Basis of Rheumatic Diseases
Published by
Birkhäuser Basel, January 2006
DOI 10.1007/3-7643-7419-5_4
Book ISBNs
978-3-76-437201-9, 978-3-76-437419-8
Authors

Ryo Yamada, Kazuhiko Yamamoto

Editors

Rikard Holmdahl

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Medicine and Dentistry 2 100%

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