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Genetic Anticipation in Familial Hodgkin's disease.

Genetic Anticipation in Familial Hodgkin's disease. Ann. Hum. Genet. (1998), 62, 453±464 453 Printed in Great Britain European Mathematical Genetics Meeting held at Reading, April 1998 Abstracts An algorithm for exact LH calculation for pedigrees with close inbred loops. YU. S. AULCHENKO and T. I. AXENOVICH. Institute of Cytology and Genetics, Novosibirsk, Russia. The maximum likelihood method is widely used in segregation and linkage analysis of pedigree data. Efficient algorithms for calculation of the likelihood for a pedigree without loops have been developed and applied in a set of computer programs. Although general algorithms to compute the likelihood of a pedigree with loops have also been elaborated, they require too much storage space or CPU time in the case of a large pedigrees with multiple loops (e.g. livestock pedigrees). Approximate methods look rather promising for analysis in the case of complex pedigrees. One of the approaches to the approximate likelihood calculation is based on cutting the loops (Stricker et al. 1995 ; Wang et al. 1996). Cutting all loops results in a zero-loop pedigree, whose likelihood might be calculated by well-known efficient algorithms. The problem is that by cutting the loops one can lose genetic information. The more loops are cut and the shorter the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Human Genetics Wiley

Genetic Anticipation in Familial Hodgkin's disease.

Annals of Human Genetics , Volume 62 (5) – Jan 1, 1998

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Publisher
Wiley
Copyright
Copyright © 1998 Wiley Subscription Services
ISSN
0003-4800
eISSN
1469-1809
DOI
10.1111/j.1469-1809.1998.ahg625_0453_13.x
Publisher site
See Article on Publisher Site

Abstract

Ann. Hum. Genet. (1998), 62, 453±464 453 Printed in Great Britain European Mathematical Genetics Meeting held at Reading, April 1998 Abstracts An algorithm for exact LH calculation for pedigrees with close inbred loops. YU. S. AULCHENKO and T. I. AXENOVICH. Institute of Cytology and Genetics, Novosibirsk, Russia. The maximum likelihood method is widely used in segregation and linkage analysis of pedigree data. Efficient algorithms for calculation of the likelihood for a pedigree without loops have been developed and applied in a set of computer programs. Although general algorithms to compute the likelihood of a pedigree with loops have also been elaborated, they require too much storage space or CPU time in the case of a large pedigrees with multiple loops (e.g. livestock pedigrees). Approximate methods look rather promising for analysis in the case of complex pedigrees. One of the approaches to the approximate likelihood calculation is based on cutting the loops (Stricker et al. 1995 ; Wang et al. 1996). Cutting all loops results in a zero-loop pedigree, whose likelihood might be calculated by well-known efficient algorithms. The problem is that by cutting the loops one can lose genetic information. The more loops are cut and the shorter the

Journal

Annals of Human GeneticsWiley

Published: Jan 1, 1998

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