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Family‐Based Association Tests for Qualitative and Quantitative Traits Using Single‐Nucleotide Polymorphism and Microsatellite Data
Author(s) -
Wilk Jemma B.,
Volcjak Jeannine S.,
Myers Richard H.,
Maher Nancy E.,
Knowlton Beth A.,
Heard-Costa Nancy L.,
Demissie Serkalem,
Cupples L. Adrienne,
DeStefano Anita L.
Publication year - 2001
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.2001.21.s1.s364
Subject(s) - single nucleotide polymorphism , pedigree chart , snp , genetics , transmission disequilibrium test , biology , linkage disequilibrium , genetic association , microsatellite , nuclear family , tag snp , trait , genome wide association study , gene , genotype , allele , sociology , anthropology , computer science , programming language
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 (MGI). Association with MGI 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. © 2001 Wiley‐Liss, Inc.