Bayesian linkage and segregation analysis: factoring the problem.

Abstract:

:Complex segregation analysis and linkage methods are mathematical techniques for the genetic dissection of complex diseases. They are used to delineate complex modes of familial transmission and to localize putative disease susceptibility loci to specific chromosomal locations. The computational problem of Bayesian linkage and segregation analysis is one of integration in high-dimensional spaces. In this paper, three available techniques for Bayesian linkage and segregation analysis are discussed: Markov Chain Monte Carlo (MCMC), importance sampling, and exact calculation. The contribution of each to the overall integration will be explicitly discussed.

journal_name

Genet Epidemiol

journal_title

Genetic epidemiology

authors

Matthysse S

doi

10.1002/1098-2272(2000)19:1+<::AID-GEPI8>3.0.CO;2-

subject

Has Abstract

pub_date

2000-01-01 00:00:00

pages

S50-6

eissn

0741-0395

issn

1098-2272

journal_volume

19 Suppl 1

pub_type

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