title: Factors influencing the identification of major genes in a complex disease genome scan.
abstract: A two-stage linkage strategy was employed to identify major genes for a simulated complex disease via a genome scan. The importance of several approaches for improving the ability to locate major genes has been illustrated. These approaches are: adjusting for covariates, ascertaining through multiple affected family members, increasing the sample size, and using multipoint linkage analysis.
authors.affiliation: Division of Medical Genetics, Cedars-Sinai Research Institute, School of Medicine, UCLA, USA.
authors.forename: H
authors.initials: H
authors.lastname: Yang
authors.forename: Y
authors.initials: Y
authors.lastname: Wang
authors.forename: D R
authors.initials: DR
authors.lastname: Goldstein
authors.forename: Z
authors.initials: Z
authors.lastname: Li
authors.forename: H
authors.initials: H
authors.lastname: Vora
authors.forename: R M
authors.initials: RM
authors.lastname: Cantor
mesh_terms: D002874:Chromosome Mapping / Q000379:methods; D002895:Chromosomes, Human, Pair 5; D003198:Computer Simulation; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D011237:Predictive Value of Tests; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D012307:Risk Factors; D018401:Sample Size
chemical_list: D005819:Genetic Markers