title: The impact of population admixture on traditional linkage analysis.
abstract: BACKGROUND
  Families of admixed ancestry are routinely excluded from traditional (Log of the Odds [LOD] score) linkage analysis or are analyzed as being derived from a homogeneous population using the proband's ethnicity. Using traditional linkage analysis with these families can cause complications due to the mixing of different disease rates and allele frequencies that occurs. The presence of admixture violates the key assumptions of Hardy-Weinberg Equilibrium (HWE) and Linkage Equilibrium (LE) invoked in the current methods of linkage analysis. If one or more of these assumptions are violated, incorrect inference for linkage could result.
  
  
  METHODS
  Through simulation, we investigated the effect of admixture of two populations on the LOD score under various conditions, using prostate cancer as our underlying disease model. Four-generation homogeneous and admixed families were simulated with 27 markers and two linked, bi-allelic disease loci. Two different types of admixture were tested: admixture within a family unit and a mixture of homogeneous families within a data set. All mixing was done at the founder level in three different proportions: 30/70, 50/50 and 70/30.
  
  
  CONCLUSIONS
  We observed that the LOD scores under both models of admixture were closest to the homogeneous family scores of the population having the highest mixing proportion. Random sampling of families or ascertainment of families with disease affection status did not affect this observation, nor did the mode of inheritance (dominant/recessive) or sample size. Thus, the presence of families of mixed population ancestry impacts linkage analysis in terms of the LOD score and the estimate of the recombination fraction.
authors.affiliation: Karmanos Cancer Institute and Wayne State University, Integrated Biostatistics Unit, Detroit, Michigan 48201, USA. barnholz@karmanos.org
authors.forename: J S
authors.initials: JS
authors.lastname: Barnholtz-Sloan
authors.forename: M
authors.initials: M
authors.lastname: de Andrade
authors.forename: R
authors.initials: R
authors.lastname: Chakraborty
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D008040:Genetic Linkage; D006801:Humans; D016013:Likelihood Functions; D008126:Lod Score; D008297:Male; D008957:Models, Genetic; D010375:Pedigree; D011471:Prostatic Neoplasms / Q000235:genetics*