Literature DB >> 22189471

Estimation and visualization of identity-by-descent within pedigrees simplifies interpretation of complex trait analysis.

Elizabeth E Marchani1, Ellen M Wijsman.   

Abstract

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 patterns 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 © 2011 S. Karger AG, Basel.

Mesh:

Year:  2011        PMID: 22189471      PMCID: PMC3267995          DOI: 10.1159/000334083

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  53 in total

1.  Linkage analysis in the presence of errors IV: joint pseudomarker analysis of linkage and/or linkage disequilibrium on a mixture of pedigrees and singletons when the mode of inheritance cannot be accurately specified.

Authors:  H H Göring; J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-03-23       Impact factor: 11.025

Review 2.  Twenty years of the Alzheimer's disease amyloid hypothesis: a genetic perspective.

Authors:  Rudolph E Tanzi; Lars Bertram
Journal:  Cell       Date:  2005-02-25       Impact factor: 41.582

3.  Markov chain Monte Carlo segregation and linkage analysis for oligogenic models.

Authors:  S C Heath
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

4.  Descent graphs in pedigree analysis: applications to haplotyping, location scores, and marker-sharing statistics.

Authors:  E Sobel; K Lange
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

5.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

6.  Estimation of the recombination fraction in human pedigrees: efficient computation of the likelihood for human linkage studies.

Authors:  J Ott
Journal:  Am J Hum Genet       Date:  1974-09       Impact factor: 11.025

7.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

8.  The impact of different presenilin 1 andpresenilin 2 mutations on amyloid deposition, neurofibrillary changes and neuronal loss in the familial Alzheimer's disease brain: evidence for other phenotype-modifying factors.

Authors:  T Gómez-Isla; W B Growdon; M J McNamara; D Nochlin; T D Bird; J C Arango; F Lopera; K S Kosik; P L Lantos; N J Cairns; B T Hyman
Journal:  Brain       Date:  1999-09       Impact factor: 13.501

Review 9.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

Authors:  David Botstein; Neil Risch
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

10.  Risk of dementia among relatives of Alzheimer's disease patients in the MIRAGE study: What is in store for the oldest old?

Authors:  N T Lautenschlager; L A Cupples; V S Rao; S A Auerbach; R Becker; J Burke; H Chui; R Duara; E J Foley; S L Glatt; R C Green; R Jones; H Karlinsky; W A Kukull; A Kurz; E B Larson; K Martelli; A D Sadovnick; L Volicer; S C Waring; J H Growdon; L A Farrer
Journal:  Neurology       Date:  1996-03       Impact factor: 9.910

View more
  5 in total

1.  Efficient identification of equivalences in dynamic graphs and pedigree structures.

Authors:  Hoyt Koepke; Elizabeth Thompson
Journal:  J Comput Biol       Date:  2013-08       Impact factor: 1.479

Review 2.  The role of large pedigrees in an era of high-throughput sequencing.

Authors:  Ellen M Wijsman
Journal:  Hum Genet       Date:  2012-06-20       Impact factor: 4.132

3.  Visualization of haplotype sharing patterns in pedigree samples.

Authors:  Sulgi Kim; Mohamad Saad; Debby W Tsuang; Ellen M Wijsman
Journal:  Hum Hered       Date:  2014-06-21       Impact factor: 0.444

4.  Identification of rare variants from exome sequence in a large pedigree with autism.

Authors:  E E Marchani; N H Chapman; C Y K Cheung; K Ankenman; I B Stanaway; H H Coon; D Nickerson; R Bernier; Z Brkanac; E M Wijsman
Journal:  Hum Hered       Date:  2013-04-11       Impact factor: 0.444

5.  Identity-by-descent graphs offer a flexible framework for imputation and both linkage and association analyses.

Authors:  Elizabeth Marchani Blue; Charles Yk Cheung; Christopher G Glazner; Matthew P Conomos; Steven M Lewis; Serge Sverdlov; Timothy Thornton; Ellen M Wijsman
Journal:  BMC Proc       Date:  2014-06-17
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.