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Celiac Disease

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Cover of 'Celiac Disease'

Table of Contents

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    Book Overview
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    Chapter 1 Celiac Disease: Background and Historical Context
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    Chapter 2 Celiac Disease: Diagnosis
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    Chapter 3 Generating Transgenic Mouse Models for Studying Celiac Disease
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    Chapter 4 Study Designs for Exploring the Non-HLA Genetics in Celiac Disease
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    Chapter 5 Twenty-Four Hour Ex Vivo Culture of Celiac Duodenal Biopsies
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    Chapter 6 Celiac Disease
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    Chapter 7 Flow Cytometric Analysis of Human Small Intestinal Lymphoid Cells
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    Chapter 8 Adaptation of a Cell-Based High Content Screening System for the In-Depth Analysis of Celiac Biopsy Tissue
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    Chapter 9 HLA Genotyping: Methods for the Identification of the HLA-DQ2,-DQ8 Heterodimers Implicated in Celiac Disease (CD) Susceptibility
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    Chapter 10 Detecting Allelic Expression Imbalance at Candidate Genes Using 5' Exonuclease Genotyping Technology.
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    Chapter 11 Gene Expression Profiling of Celiac Biopsies and Peripheral Blood Monocytes Using Taqman Assays
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    Chapter 12 Cloning Gene Variants and Reporter Assays
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    Chapter 13 Epigenetic Methodologies for the Study of Celiac Disease.
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    Chapter 14 Candidate Gene Knockdown in Celiac Disease
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    Chapter 15 Perl One-Liners: Bridging the Gap Between Large Data Sets and Analysis Tools.
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    Chapter 16 Bioinformatic Analysis of Antigenic Proteins in Celiac Disease
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    Chapter 17 Quality Control Procedures for High-Throughput Genetic Association Studies.
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    Chapter 18 Quality Control and Analysis of NGS RNA Sequencing Data.
Attention for Chapter 10: Detecting Allelic Expression Imbalance at Candidate Genes Using 5' Exonuclease Genotyping Technology.
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Chapter title
Detecting Allelic Expression Imbalance at Candidate Genes Using 5' Exonuclease Genotyping Technology.
Chapter number 10
Book title
Celiac Disease
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2839-2_10
Pubmed ID
Book ISBNs
978-1-4939-2838-5, 978-1-4939-2839-2
Authors

Gahan, Jillian M, Byrne, Mikaela M, Hill, Matthew, Quinn, Emma M, Murphy, Ross T, Anney, Richard J L, Ryan, Anthony W, Jillian M. Gahan, Mikaela M. Byrne, Matthew Hill, Emma M. Quinn, Ross T. Murphy, Richard J. L. Anney, Anthony W. Ryan, Gahan, Jillian M., Byrne, Mikaela M., Quinn, Emma M., Murphy, Ross T., Anney, Richard J. L., Ryan, Anthony W.

Abstract

Genetic variation along the length of a chromosome can influence the transcription of a gene. In a heterozygous individual, this may lead to one chromosome producing different levels of RNA, compared to its paired chromosome, for a given gene. Allelic differences in gene expression can offer insight into the role of variation in transcription, and subsequently infer a route to conferring disease risk. This phenomenon is known as allele expression imbalance or AEI, which may be assayed using a PCR-based method that includes the quantification of the relative dosage of each allele (e.g., 5' exonuclease assays, TaqMan™). Importantly, in heterozygous individuals the resolution of expression imbalance is performed within a controlled system; the comparison of the alternate allele is reported relative to the wild-type, as the experiment can be performed within a single sample, controlled for background genetic information. Alternative methods for the detection of AEI include Primer-extension MALDI-TOF (Sequenom MassARRAY(®)), Next-Generation Sequencing, and SNP genotyping arrays. Here we present the methods used for the TaqMan™ approach and include a description of the SNP identification, allele-specific PCR, and analytic methods to convert allele amplification metrics to relative allele dosage.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Lecturer 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Neuroscience 1 14%
Unknown 3 43%