Abstract #301445

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JSM 2002 Abstract #301445
Activity Number: 272
Type: Topic Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing*
Abstract - #301445
Title: A Monte Carlo Unified Approach to Linkage Analysis
Author(s): Zachary Skrivanek*+
Affiliation(s): Ohio State University
Address: 1958 Neil Ave, Columbus, Ohio, 43210-1247, USA
Keywords: linkage analysis ; monte carlo ; sequential imputation ; importance sampling ; nonparametric linkage stastistic ; IBD sharing
Abstract:

A new software package, SIMPLE, is introduced which uses sequential imputation to calculate popular parametric and nonparametric linkage statistics. This method is particularly useful when analyzing many loci in large pedigrees. The popular software package, GENEHUNTER, can analyze many loci but is limited in the size of the pedigree it can handle. To address this limitation, GENEHUNTER implements an algorithm which selectively eliminates certain pedigree members. We do a simulation study to demonstrate the potential gain in power (without any increase in type I error) when analyzing the entire pedigree via SIMPLE.

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