title: Meta-analysis by combining parameter estimates: simulated linkage studies.
abstract: Several meta-analytic techniques have been developed for combining information from multiple studies in contexts other than linkage detection. We apply the technique of combining parameter estimates to the problem of finding disease loci in the simulated data and compare results with those obtained by reanalyzing pooled raw data. To facilitate the combination of study results, we highly recommend that parameter estimates and their standard errors be reported in published studies. If different research groups were to make original data available, progress toward disease gene location and characterization may be more quickly made.
authors.affiliation: Department of Statistics, University of California, Los Angeles 90024, USA.
authors.forename: D R
authors.initials: DR
authors.lastname: Goldstein
authors.forename: S R
authors.initials: SR
authors.lastname: Sain
authors.forename: R
authors.initials: R
authors.lastname: Guerra
authors.forename: C J
authors.initials: CJ
authors.lastname: Etzel
mesh_terms: D008040:Genetic Linkage; D005820:Genetic Testing; D014644:Genetic Variation; D016678:Genome; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical