Premium
Comparison of admixture and association mapping in admixed families
Author(s) -
Clarke Geraldine,
Whittemore Alice S.
Publication year - 2007
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.20239
Subject(s) - locus (genetics) , genetics , biology , linkage disequilibrium , transmission disequilibrium test , genetic marker , genotype , identity by descent , haplotype , gene
The family‐based admixture mapping test (AMT) identifies disease‐related genes using family data from admixed individuals with the disease of interest (cases). The cases' genotypes at a set of markers are used to infer their DNA ancestry as it varies in blocks along the chromosomes. The test compares the cases' inferred ancestries to those expected from their family histories. Deviation between observed and expected ancestries in a region suggests the presence of a disease gene. We use a likelihood‐based development of the AMT to compare it with the transmission disequilibrium test (TDT) as applied to admixed populations. The two tests have a common framework but differ significantly when the disease locus is untyped. The TDT infers disease‐locus genotypes using the markers with which it is in linkage disequilibrium (LD). In contrast, the AMT infers disease locus ancestries using those of its linked markers. Thus, TDT power depends on LD between disease and marker loci, while AMT power depends on the lengths of the ancestry blocks containing the disease locus. We compare the power of the two tests when applied to cases with descent from two ancestral populations. The AMT outperforms the TDT when case marker ancestries are correctly specified and LD between disease and marker loci is less than one‐third its maximal value (Δ′<1/3). However, the TDT performs better in the presence of uncertain marker ancestries, even for weak LD between disease and marker loci (Δ′ = 0.1). These findings have implications for the design of studies using admixed populations. Genet. Epidemiol . 31, 2007. © 2007 Wiley‐Liss, Inc.