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Risk prediction with linked markers: Theory

✍ Scribed by Rogatko, André

Publisher: John Wiley and Sons
Year: 1995
Tongue: English
Weight: 877 KB
Volume: 59
Category: Article
ISSN: 0148-7299
DOI: 10.1002/ajmg.1320590105

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✦ Synopsis

A Bayesian method to predict disease recurrence risks based on distance information between loci and allowing for uncertain gene location is presented. The methodology allows derivation of the posterior distribution of recurrence risks, from which point estimates and associated precision measures can be calculated. The resulting risk distribution accounts for all available information concerning location and relative distance, and can be updated as additional data become available. o

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