Disease genes can be mapped on the basis of associations between genetic markers and disease status, with the case-control design having the advantage of not requiring individuals from different generations. When the marker loci have multiple alleles, there has been debate on whether the power of tests for association increases or decreases. We show here that the multiple-allele version of Armitage's trend test has increased power over the two-allele version under the requirement of equifrequent alleles, but not in general. The trend test has the advantage of remaining valid even when the sampled population is not in Hardy-Weinberg equilibrium. A departure from Hardy-Weinberg means that association tests depend on gametic and nongametic linkage disequilibrium between marker and disease loci, and we illustrate the magnitude of these effects with simulated data.
机构:
N Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USAN Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USA
Nielsen, DM
;
Weir, BS
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机构:
N Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USAN Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USA
机构:
Imperial Canc Res Fund, Dept Math Stat & Epidemiol, London WC2A 3PX, EnglandImperial Canc Res Fund, Dept Math Stat & Epidemiol, London WC2A 3PX, England
机构:
N Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USAN Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USA
Nielsen, DM
;
Weir, BS
论文数: 0引用数: 0
h-index: 0
机构:
N Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USAN Carolina State Univ, Dept Stat, Program Stat Genet, Raleigh, NC 27695 USA
机构:
Imperial Canc Res Fund, Dept Math Stat & Epidemiol, London WC2A 3PX, EnglandImperial Canc Res Fund, Dept Math Stat & Epidemiol, London WC2A 3PX, England