Genome-wide approaches for identifying interacting susceptibility regions for asthma

Genetic Epidemiology

Volumn 21, Issue SUPPL. 1, 2001, Pages

  Colilla, S ^a   Tsalenko, A ^a   Pluznikov, A ^a   Cox, N J ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Cluster analysis; Conditional analysis; Correlation; Epistasis; Interaction

Indexed keywords

ASTHMA; CHROMOSOME 12; CHROMOSOME 2; CHROMOSOME 6; CLUSTER ANALYSIS; CONFERENCE PAPER; CORRELATION FUNCTION; EPISTASIS; GENE LOCUS; GENE MAPPING; GENETIC LINKAGE; GENETIC SUSCEPTIBILITY; HUMAN; MAJOR CLINICAL STUDY;

EID: 0034798098     PISSN: 07410395     EISSN: None     Source Type: Journal    
DOI: 10.1002/gepi.2001.21.s1.s266     Document Type: Conference Paper

References (6)

1. Loci on chromosome 2 (NIDDM) and 15 interact to increase susceptibility to diabetes in Mexican-Americans
2. Allegro, a new computer program for multipoint linkage analysis
3. A K-means clustering algorithm
4. Contributing factors to the pathobiology: The genetics of asthma