Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix

By J. Li, L. Ji. Heredity, 2005

1,469 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/da618de550351682bbf2a100712ec8681e892191

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In Genetics

In Molecular Biology

In Statistics and Probability

Citations in the corpus

Avoiding the high Bonferroni penalty in genome-wide association studies (2009, background): “Li and Ji [2005] proposed another M eff estimation formula and showed an improvement in power over Nyholt’s approach but at the expense of the type I error rate.”
Genomewide Prediction Accuracy within 969 Maize Biparental Populations (2014, methodology): “For each population, the Me values were calculated by eigenvalues of the linkage disequilibrium matrix among the SNP markers in each population (Li and Ji, 2005).”
A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms (2008, background): “However, Cheverud’s Meff is still overly conservative when there is high LD among SNPs [Li and Ji, 2005; Salyakina et al., 2005].”
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.) (2008, positive): “We used a Bonferroni-based multiple-test control threshold, using the estimation of the effective number of tests along the genome proposed by Li and Ji (2005). We control the genome-wide alpha level at 0.”
Speeding up Permutation Testing in Neuroimaging (2013, methodology): “ precisely this phenomenon which drives the search for alternatives to Bonferroni correction. Thus, many methods have been developed to more accurately and efﬁciently estimate or approximate the FWER [5, 6, 7, 8], which is a subject of much interest in statistics [9], machine learning [10], bioinfor”