TY - JOUR
T1 - Bayesian linkage and segregation analysis
T2 - Factoring the problem
AU - Neuman, Rosalind J.
AU - Saccone, Nancy L.
AU - Holmans, Peter
AU - Rice, John P.
AU - Sun, Lingwei
PY - 2000
Y1 - 2000
N2 - 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. (C) 2000 Wiley-Liss, Inc.
AB - 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. (C) 2000 Wiley-Liss, Inc.
KW - Bayesian
KW - Linkage analysis
KW - Markov Chain Monte Carlo (MCMC)
KW - Numerical integration
KW - Segregation analysis
UR - http://www.scopus.com/inward/record.url?scp=0033815636&partnerID=8YFLogxK
U2 - 10.1002/1098-2272(2000)19:1+<::AID-GEPI8>3.0.CO;2-G
DO - 10.1002/1098-2272(2000)19:1+<::AID-GEPI8>3.0.CO;2-G
M3 - Article
C2 - 11055370
AN - SCOPUS:0033815636
SN - 0741-0395
VL - 19
SP - S50-S56
JO - Genetic Epidemiology
JF - Genetic Epidemiology
IS - SUPPL. 1
ER -