Testing Association of Statistically Inferred Haplotypes with Discrete and Continuous Traits in Samples of Unrelated Individuals

By Dmitri V. Zaykin, Peter H. Westfall, S. Young, Maha Karnoub, Michael J. Wagner, Margaret G. Ehm. Human Heredity, 2002

683 citations recorded by the source corpus.

Subfields: Epidemiology, Genetics

View Paper: https://www.semanticscholar.org/paper/42b3781fa9a899cecd9141a4827f2f3372a1172d

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In Epidemiology

1. Donglin Zeng
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1. Gonçalo R. Abecasis
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Citations in the corpus

• A new algorithm for haplotype‐based association analysis: the Stochastic‐EM algorithm (2004, methodology): “Two ML algorithms are currently used in the context of haplotype-based association analysis for simultaneously estimating haplotype frequencies and haplotype effects, the EM (Klerck et al. 2002; Zaykin et al. 2002) and NR (Tregouet et al. 2002) algorithms.”
• Pedigree disequilibrium tests for multilocus haplotypes (2003, methodology): “In studies of unrelated subjects, several similar methods have emerged which use the expectation-maximization (E-M) algorithm to estimate haplotype frequencies from unphased genotype data [Zhao et al., 2000; Schaid et al., 2002; Zaykin et al., 2002].”
• PowerMarker: an integrated analysis environment for genetic marker analysis (2005, neutral): “Haplotype trend regression (Zaykin et al., 2002) can be applied to both quantitative traits and binary traits.”
• Genotype Imputation (2009, background): “The intuition that short stretches of haplotype provide useful information about untyped genetic markers provides the justification for the power gains suggested for many haplotype analysis strategies (22, 60, 91, 115).”
• Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies (2006, methodology): “To make inference about haplotype effects, one may then relate the probabilistically inferred haplotypes to the phenotype through a regression model (e.g., Zaykin et al. 2002).”
• The future of association studies: gene-based analysis and replication. (2004, methodology): “…of multilocus genotype data; methods for doing this, taking into account phase uncertainty, are being rapidly developed (Schaid et al. 2002; Zaykin et al. 2002; Zhang et al. 2002b; North et al. 2003; Seltman et al. 2003; Tanck et al. 2003; Thomas et al. 2003; Zhao et al. 2003; Sham et al.…”
• Family-based association tests for genomewide association scans. (2007, methodology): “It is also important to note that, although we designed our approach to use expected genotype scores (so that we deal with uncertainty in missing genotypes in a manner that is somewhat similar to the approach used by Zaykin et al.(43) to deal with uncertain haplotype phase in casecontrol association”