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Statistical Human Genetics

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Cover of 'Statistical Human Genetics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genetic terminology.
  3. Altmetric Badge
    Chapter 2 Identification of Genotype Errors
  4. Altmetric Badge
    Chapter 3 Detecting Pedigree Relationship Errors
  5. Altmetric Badge
    Chapter 4 Identifying cryptic relationships.
  6. Altmetric Badge
    Chapter 5 Estimating Allele Frequencies
  7. Altmetric Badge
    Chapter 6 Testing Departure from Hardy–Weinberg Proportions
  8. Altmetric Badge
    Chapter 7 Estimating Disequilibrium Coefficients
  9. Altmetric Badge
    Chapter 8 Detecting Familial Aggregation
  10. Altmetric Badge
    Chapter 9 Estimating heritability from twin studies.
  11. Altmetric Badge
    Chapter 10 Estimating Heritability from Nuclear Family and Pedigree Data
  12. Altmetric Badge
    Chapter 11 Correcting for Ascertainment
  13. Altmetric Badge
    Chapter 12 Segregation Analysis Using the Unified Model
  14. Altmetric Badge
    Chapter 13 Design considerations for genetic linkage and association studies.
  15. Altmetric Badge
    Chapter 14 Model-Based Linkage Analysis of a Quantitative Trait
  16. Altmetric Badge
    Chapter 15 Model-Based Linkage Analysis of a Binary Trait
  17. Altmetric Badge
    Chapter 16 Model-Free Linkage Analysis of a Quantitative Trait
  18. Altmetric Badge
    Chapter 17 Model-Free Linkage Analysis of a Binary Trait
  19. Altmetric Badge
    Chapter 18 Single Marker Association Analysis for Unrelated Samples
  20. Altmetric Badge
    Chapter 19 Single-marker family-based association analysis conditional on parental information.
  21. Altmetric Badge
    Chapter 20 Single Marker Family-Based Association Analysis Not Conditional on Parental Information
  22. Altmetric Badge
    Chapter 21 Allowing for Population Stratification in Association Analysis
  23. Altmetric Badge
    Chapter 22 Haplotype Inference
  24. Altmetric Badge
    Chapter 23 Multi-SNP Haplotype Analysis Methods for Association Analysis
  25. Altmetric Badge
    Chapter 24 Detecting rare variants.
  26. Altmetric Badge
    Chapter 25 The analysis of ethnic mixtures.
  27. Altmetric Badge
    Chapter 26 Identifying Gene Interaction Networks
  28. Altmetric Badge
    Chapter 27 Structural equation modeling.
  29. Altmetric Badge
    Chapter 28 Genotype calling for the affymetrix platform.
  30. Altmetric Badge
    Chapter 29 Genotype calling for the illumina platform.
  31. Altmetric Badge
    Chapter 30 Comparison of Requirements and Capabilities of Major Multipurpose Software Packages
Attention for Chapter 19: Single-marker family-based association analysis conditional on parental information.
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Chapter title
Single-marker family-based association analysis conditional on parental information.
Chapter number 19
Book title
Statistical Human Genetics
Published in
Methods in molecular biology, February 2012
DOI 10.1007/978-1-61779-555-8_19
Pubmed ID
Book ISBNs
978-1-61779-554-1, 978-1-61779-555-8
Authors

Chung RH, Martin ER, Ren-Hua Chung, Eden R. Martin, Chung, Ren-Hua, Martin, Eden R.

Abstract

Family-based designs have been commonly used in association studies. Different family structures such as extended pedigrees and nuclear families, including parent-offspring triads and families with multiple affected siblings (multiplex families), can be ascertained for family-based association analysis. Flexible association tests that can accommodate different family structures have been proposed. The pedigree disequilibrium test (PDT) (Am J Hum Genet 67:146-154, 2000) can use full genotype information from general (possibly extended) pedigrees with one or multiple affected siblings but requires parental genotypes or genotypes of unaffected siblings. On the other hand, the association in the presence of linkage (APL) test (Am J Hum Genet 73:1016-1026, 2003) is restricted to nuclear families with one or more affected siblings but can infer missing parental genotypes properly by accounting for identity-by-descent (IBD) parameters. Both the PDT and APL are powerful association tests in the presence of linkage and can be used as complementary tools for association analysis. This chapter introduces these two tests and compares their properties. Recommendations and notes for performing the tests in practice are provided.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Psychology 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2012.
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#18,306,425
of 22,665,794 outputs
Outputs from Methods in molecular biology
#7,815
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Outputs of similar age
#197,177
of 247,693 outputs
Outputs of similar age from Methods in molecular biology
#317
of 458 outputs
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