Journal
HUMAN HEREDITY
Volume 59, Issue 2, Pages 98-108Publisher
KARGER
DOI: 10.1159/000085224
Keywords
Alzheimer's disease; extended pedigrees; linkage analysis; Markov chain Monte Carlo; multipoint lod scores
Categories
Funding
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R37GM046255, R01GM046255] Funding Source: NIH RePORTER
- NIGMS NIH HHS [GM46255, GM05136] Funding Source: Medline
Ask authors/readers for more resources
On extended pedigrees with extensive missing data, the calculation of multilocus likelihoods for linkage analysis is often beyond the computational bounds of exact methods. Growing interest therefore surrounds the implementation of Monte Carlo estimation methods. In this paper, we demonstrate the speed and accuracy of a new Markov chain Monte Carlo method for the estimation of linkage likelihoods through an analysis of real data from a study of early- onset Alzheimer's disease. For those data sets where comparison with exact analysis is possible, we achieved up to a 100- fold increase in speed. Our approach is implemented in the program Im _bayes within the framework of the freely available MORGAN 2.6 package for Monte Carlo genetic analysis Copyright (c) 2005 S. Karger AG, Basel.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available