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Molecular Genetics of Inflammatory Bowel Disease

Overview of attention for book
Cover of 'Molecular Genetics of Inflammatory Bowel Disease'

Table of Contents

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    Book Overview
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    Chapter 1 A Primer on IBD: Phenotypes, Diagnosis, Treatment, and Clinical Challenges
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    Chapter 2 Genetic Epidemiology of Inflammatory Bowel Disease, Early Twin and Family Studies
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    Chapter 3 Experimental Models of Intestinal Inflammation: Lessons from Mouse and Zebrafish
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    Chapter 4 Complex Disease Genes and Their Discovery
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    Chapter 5 IBD Genomic Risk Loci and Overlap with Other Inflammatory Diseases
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    Chapter 6 Sequencing and Mapping IBD Genes to Individual Causative Variants and Their Clinical Relevance
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    Chapter 7 Genetic Risk Prediction in IBD
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    Chapter 8 Molecular Profiling of IBD Subtypes and Therapy Responses
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    Chapter 9 Inflammatory Bowel Disease and Epigenetics
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    Chapter 10 MicroRNAs and Inflammatory Bowel Disease
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    Chapter 11 IBD Genetics and the Gut Microbiome
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    Chapter 12 NOD1 and NOD2 and the Immune Response to Bacteria
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    Chapter 13 The IL-23/Th17 Axis in Intestinal Inflammation
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    Chapter 14 Inflammatory Bowel Disease at the Intersection of Autophagy and Immunity: Insights from Human Genetics
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    Chapter 15 The Epithelial Barrier
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    Chapter 16 The Gut Microbiome in Inflammatory Bowel Disease
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    Chapter 17 Toward Personalized Therapy in Inflammatory Bowel Disease
Attention for Chapter 12: NOD1 and NOD2 and the Immune Response to Bacteria
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Citations

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Chapter title
NOD1 and NOD2 and the Immune Response to Bacteria
Chapter number 12
Book title
Molecular Genetics of Inflammatory Bowel Disease
Published by
Springer, Cham, December 2019
DOI 10.1007/978-3-030-28703-0_12
Book ISBNs
978-3-03-028702-3, 978-3-03-028703-0
Authors

Maria Kaparakis-Liaskos, Ashleigh Goethel, Dana J. Philpott

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%

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