Genomic control, a new approach to genetic-based association studies.
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Publication:1427286
DOI10.1006/tpbi.2001.1542zbMath1043.92020OpenAlexW1996570221WikidataQ34539204 ScholiaQ34539204MaRDI QIDQ1427286
Kathryn Roeder, Bernie Devlin, Larry Alan Wasserman
Publication date: 14 March 2004
Published in: Theoretical Population Biology (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/7deb84191e9fc80101739718dbe9da916bd9d314
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Genetics and epigenetics (92D10)
Related Items (12)
Effective sample size: quick estimation of the effect of related samples in genetic case-control association analyses ⋮ Statistical Analysis for Haplotype‐Based Matched Case–Control Studies ⋮ The use of vector bootstrapping to improve variable selection precision in Lasso models ⋮ Correcting for biases in affected sib-pair linkage analysis caused by uncertainty in sibling relationship ⋮ The loss of statistical power to distinguish populations when certain samples are ambiguous ⋮ Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies ⋮ Genomic Control for Association Studies under Various Genetic Models ⋮ The use of plasmodes as a supplement to simulations: a simple example evaluating individual admixture estimation methodologies ⋮ Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies ⋮ A Novel Bayesian Semiparametric Algorithm for Inferring Population Structure and Adjusting for Case‐Control Association Tests ⋮ A spectral graph approach to discovering genetic ancestry ⋮ Control of Population Stratification by Correlation-Selected Principal Components
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