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Exploring genetic analysis of complex traits through the paradigm of alcohol dependence: Summary of GAW11 contributions
Author(s) -
Almasy Laura,
Borecki Ingrid B.
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170704
Subject(s) - linkage (software) , genetic linkage , genetic association , genome wide association study , multivariate statistics , nonparametric statistics , weighting , association mapping , genetics , biology , computational biology , quantitative trait locus , multivariate analysis , computer science , statistics , single nucleotide polymorphism , medicine , genotype , machine learning , gene , mathematics , radiology
We discuss the Genetic Analysis Workshop 11 analyses of data from the Collaborative Study on the Genetics of Alcoholism from a methodological perspective, concentrating on approaches and issues relevant to linkage and association studies of complex human phenotypes. Genome screening by parametric linkage, nonparametric linkage, association, and combined linkage/association methods are discussed. Issues particular to complex disease include etiologic heterogeneity, multivariate phenotype modeling, and parent‐of‐origin effects. Other methodological topics discussed are new and enhanced methods, ascertainment, weighting of nonindependent sib pairs, and data cleaning and validation.