title: Association tests using unaffected-sibling versus pseudo-sibling controls.
abstract: We used family-matched case-control data to screen the genome for markers associated with disease in the simulated data set. Two different types of controls were considered: (1) unaffected siblings and (2) 'pseudo siblings,' a comparison sample created using the parental alleles. The scans were conducted on the first replicate of each study population. Overall, the two methods identified 14 marker loci associated with disease at the 0.001 significance level. Marker D1G24 (locus D) was the only true disease locus found by both approaches. No associations were found at any of the markers flanking the unobserved disease susceptibility loci (A, B, or C). We subsequently pooled the 25 replicates from a single population. This large sample still did not yield any associations at the flanking markers. We tested for association at locus D using a pseudo-sib approach restricted to alleles shared identical by descent between affected sib pairs. The power was 44% (11/25 replicates) at a significance level of 0.001.
authors.affiliation: Department of Preventive Medicine, University of Southern California, Los Angeles 90033, USA.
authors.forename: K D
authors.initials: KD
authors.lastname: Siegmund
authors.forename: W J
authors.initials: WJ
authors.lastname: Gauderman
authors.forename: D C
authors.initials: DC
authors.lastname: Thomas
mesh_terms: D000483:Alleles; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing; D016678:Genome; D005838:Genotype; D016013:Likelihood Functions; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D009679:Nuclear Family
chemical_list: D005819:Genetic Markers