Two-locus modeling of asthma in a Hutterite pedigree via Markov chain Monte Carlo

Genetic Epidemiology

Volumn 21, Issue SUPPL. 1, 2001, Pages

  Luo, Y ^a   Lin, S ^a   Irwin, M E ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Complex pedigree; Complex traits; Epistasis; Heterogeneity; Markov chain Monte Carlo; Segregation analysis; Two locus models

Indexed keywords

ASTHMA; CONFERENCE PAPER; GENE LOCUS; GENETIC EPIDEMIOLOGY; GENETIC LINKAGE; GENETIC RISK; HUMAN; MAJOR CLINICAL STUDY; PATHOGENESIS; PEDIGREE; POPULATION GENETICS; RISK ASSESSMENT; SYSTEM ANALYSIS;

EID: 0034792979     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.2001.21.s1.s24     Document Type: Conference Paper

References (6)

1. Identity-by-descent sharing using Markov chain Monte Carlo in subsets of the asthma Hutterite pedigree
2. Achieving irreducibility of the Markov chain Monte Carlo method applied to pedigree data
3. Genome-wide search for asthma susceptibility loci in a founder population
4. Descent graphs in pedigree analysis: Applications to haplotyping, location scores, and marker-sharing statistics
5. Monte Carlo likelihood in genetic mapping
6. A genome-wide search for linkage to asthma