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Assessing Rare Variation in Complex Traits

Overview of attention for book
Cover of 'Assessing Rare Variation in Complex Traits'

Table of Contents

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    Book Overview
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    Chapter 1 Calling Rare Variants from Genotype Data
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    Chapter 2 Calling Variants from Sequence Data
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    Chapter 3 Rare Variant Quality Control
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    Chapter 4 Rare Structural Variants
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    Chapter 5 Functional Annotation of Rare Genetic Variants
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    Chapter 6 The 1000 Genomes Project
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    Chapter 7 The UK10K Project: 10,000 UK Genome Sequences—Accessing the Role of Rare Genetic Variants in Health and Disease
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    Chapter 8 Population Isolates
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    Chapter 9 Natural Selection at Rare Variants
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    Chapter 10 Collapsing Approaches for the Association Analysis of Rare Variants
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    Chapter 11 Rare Variant Association Analysis: Beyond Collapsing Approaches
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    Chapter 12 Significance Thresholds for Rare Variant Signals
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    Chapter 13 Power of Rare Variant Aggregate Tests
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    Chapter 14 Replicating Sequencing-Based Association Studies of Rare Variants
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    Chapter 15 Meta-Analysis of Rare Variants
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    Chapter 16 Population Stratification of Rare Variants
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    Chapter 17 Use of Appropriate Controls in Rare-Variant Studies
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    Chapter 18 Trans-Ethnic Fine-Mapping of Rare Causal Variants
Attention for Chapter 7: The UK10K Project: 10,000 UK Genome Sequences—Accessing the Role of Rare Genetic Variants in Health and Disease
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Citations

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Chapter title
The UK10K Project: 10,000 UK Genome Sequences—Accessing the Role of Rare Genetic Variants in Health and Disease
Chapter number 7
Book title
Assessing Rare Variation in Complex Traits
Published by
Springer New York, January 2015
DOI 10.1007/978-1-4939-2824-8_7
Book ISBNs
978-1-4939-2823-1, 978-1-4939-2824-8
Authors

Dawn Muddyman

Editors

Eleftheria Zeggini, Andrew Morris

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Mathematics 1 25%
Agricultural and Biological Sciences 1 25%
Medicine and Dentistry 1 25%
Design 1 25%

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