title: Family-based association tests for qualitative and quantitative traits using single-nucleotide polymorphism and microsatellite data.
abstract: Using the Genetic Analysis Workshop 12 simulated data, we contrasted results for association tests in nuclear families and extended pedigrees using single-nucleotide polymorphism (SNP) data, and we compared results for different trait definitions, for outbred and isolate populations, and for SNP and microsatellite data. SNPs in major genes 1 and 6 were analyzed using transmission disequilibrium testing (TDT) [Spielman et al., Am J Hum Genet 52:506-16, 1993], sibship disequilibrium testing (SDT) [Horvath and Laird, Am J Hum Genet 63:1886-97, 1998], family-based association testing (FBAT) [Horvath et al., Eur J Hum Genet 9:301-6, 2001], and a chi-square analysis of founders. TDT and SDT were applied in a sample of independent nuclear families, while FBAT was applied in extended pedigrees. SNPs and microsatellites were analyzed with dichotomous and quantitative trait definitions using FBAT in the isolate and outbred populations. The results of the TDT, SDT, and FBAT analyses are comparable using SNP data to identify the disease gene. However, these tests of association were not helpful in discriminating between functional and non-functional SNPs in disequilibrium. SNP data were able to identify association with affection status in a gene that influences the liability directly (MG6), but did not perform as well when assessing association with affection status in a gene that influences the outcome only through a quantitative trait (MG1). Association with MG1 was observed using the SNP data when the outcome was defined quantitatively. Microsatellite data were relatively unsuccessful in identifying association with the markers in the region of a major gene. The magnitude of the associations between SNPs and the dichotomous or quantitative trait definitions were similar in the outbred and isolated populations.
authors.affiliation: Boston University Schools of Medicine and Public Health, Boston, Massachusetts, USA.
authors.forename: J B
authors.initials: JB
authors.lastname: Wilk
authors.forename: J S
authors.initials: JS
authors.lastname: Volcjak
authors.forename: R H
authors.initials: RH
authors.lastname: Myers
authors.forename: N E
authors.initials: NE
authors.lastname: Maher
authors.forename: B A
authors.initials: BA
authors.lastname: Knowlton
authors.forename: N L
authors.initials: NL
authors.lastname: Heard-Costa
authors.forename: S
authors.initials: S
authors.lastname: Demissie
authors.forename: L A
authors.initials: LA
authors.lastname: Cupples
authors.forename: A L
authors.initials: AL
authors.lastname: DeStefano
mesh_terms: D000328:Adult; D002648:Child; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D002878:Chromosomes, Human, Pair 1; D002888:Chromosomes, Human, Pair 19; D002896:Chromosomes, Human, Pair 6; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics; D006801:Humans; D015810:Linkage Disequilibrium; D008126:Lod Score; D008297:Male; D018895:Microsatellite Repeats / Q000235:genetics*; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D019655:Quantitative Trait, Heritable