4.0 Article

Estimation and Visualization of Identity-by-Descent within Pedigrees Simplifies Interpretation of Complex Trait Analysis

Journal

HUMAN HEREDITY
Volume 72, Issue 4, Pages 289-297

Publisher

KARGER
DOI: 10.1159/000334083

Keywords

Inheritance vector; Segregation; Genome scan; Haplotype; Equivalence class

Funding

  1. National Institute of Health (NIH) [AG005136, AG000258, GM046255]
  2. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R37GM046255, R01GM046255] Funding Source: NIH RePORTER
  3. NATIONAL INSTITUTE ON AGING [T32AG000258, Z01AG000258, P50AG005136] Funding Source: NIH RePORTER

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Linkage analysis identifies markers that appear to be co-inherited with a trait within pedigrees. The inheritance of a chromosomal segment may be probabilistically reconstructed, with missing data complicating inference. Inheritance patterns are further obscured in the analysis of complex traits, where variants in one or more genes may contribute to phenotypic variation within a pedigree. In this case, determining which relatives share a trait variant is not simple. We describe how to represent these patterns of inheritance for marker loci. We summarize how to sample patterns of inheritance consistent with genotypic and pedigree data using gl_auto, available in MORGAN v3.0. We describe identification of classes of equivalent inheritance patterns with the program IBDgraph. We finally provide an example of how these programs may be used to simplify interpretation of linkage analysis of complex traits in general pedigrees. We borrow information across loci in a parametric linkage analysis of a large pedigree. We explore the contribution of each equivalence class to a linkage signal, illustrate estimated pat-terns of identity-by-descent sharing, and identify a haplotype tagging the chromosomal segment driving the linkage signal. Haplotype carriers are more likely to share the linked trait variant, and can be prioritized for subsequent DNA sequencing. Copyright (C) 2011 S. Karger AG, Basel

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