title: Sequential sib-pair and association studies to detect genes in quantitative traits.
abstract: We applied sib-pair and association methods to a GAW data set of nuclear families with quantitative traits. Our approaches included 1) preliminary statistical studies including correlations and linear regressions, 2) sib-pair methods, and 3) association studies. We used a single data set to screen for linkage and association and, subsequently, additional data sets to confirm the preliminary results. Using this sequential approach, sib-pair analysis provided evidence for the genes influencing Q1, Q2, and Q4. We correctly predicted MG1 for Q1, MG2 for Q2, and MG4 for Q4. We did not find any false positives using this approach. Association studies identified chromosomes 8 and 9 to be associated with Q4; however these are assumed to be false positives as no associations were modeled into the data.
authors.affiliation: Department of Genetics and Molecular Medicine, Emory University, Atlanta, Georgia 30322, USA.
authors.forename: A
authors.initials: A
authors.lastname: Savage
authors.forename: F
authors.initials: F
authors.lastname: Sun
authors.forename: D C
authors.initials: DC
authors.lastname: Crawford
authors.forename: A E
authors.initials: AE
authors.lastname: Ashley
authors.forename: Q
authors.initials: Q
authors.lastname: Yang
authors.forename: S L
authors.initials: SL
authors.lastname: Sherman
mesh_terms: D000704:Analysis of Variance; D005260:Female; D008040:Genetic Linkage; D005820:Genetic Testing / Q000379:methods*; D006801:Humans; D008297:Male; D016555:Matched-Pair Analysis; D009679:Nuclear Family; D011237:Predictive Value of Tests; D019655:Quantitative Trait, Heritable; D012984:Software