Literature DB >> 8314080

Monte Carlo analysis on a large pedigree.

E A Thompson1, S Lin, A B Olshen, E M Wijsman.   

Abstract

Monte Carlo methods for linkage and segregation analysis are applied to the HGAR1 pedigree. To address these data, the methods are extended in several ways. The results are compared with those provided by PAP.

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Year:  1993        PMID： 8314080     DOI： 10.1002/gepi.1370100658

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN： 0741-0395            Impact factor:   2.135


  5 in total

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

Authors:  Elizabeth E Marchani; Ellen M Wijsman
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

2.  Multipoint linkage analysis with many multiallelic or dense diallelic markers: Markov chain-Monte Carlo provides practical approaches for genome scans on general pedigrees.

Authors:  Ellen M Wijsman; Joseph H Rothstein; Elizabeth A Thompson
Journal:  Am J Hum Genet       Date:  2006-09-20       Impact factor: 11.025

3.  Identity-by-descent estimation and mapping of qualitative traits in large, complex pedigrees.

Authors:  Mark Abney
Journal:  Genetics       Date:  2008-07-13       Impact factor: 4.562

4.  Finding noncommunicating sets for Markov chain Monte Carlo estimations on pedigrees.

Authors:  S Lin; E Thompson; E Wijsman
Journal:  Am J Hum Genet       Date:  1994-04       Impact factor: 11.025

5.  Genetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech.

Authors:  Beate Peter; Ellen M Wijsman; Alejandro Q Nato; Mark M Matsushita; Kathy L Chapman; Ian B Stanaway; John Wolff; Kaori Oda; Virginia B Gabo; Wendy H Raskind
Journal:  PLoS One       Date:  2016-04-27       Impact factor: 3.240
  5 in total

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